Amazon

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company and the spirit and heart of a small one.

Together, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers: shoppers, sellers, content creators, and developers around the world.

Our mission is to be Earth's most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer's top of mind.

You'll also hear us say that at Amazon, it's always "Day 1."​ What do we mean? That our approach remains the same as it was on Amazon's very first day - to make smart, fast decisions, stay nimble, invent, and focus on delighting our customers.

Full time
Amazon Sydney NSW, Australia
BENEFITS · Be a part of the Earth's largest Cloud Platform organization · Clear and defined career progression, training & certifications + much more · Subsidised Healthcare, Sign-on bonus, Stock and Shares, Paid commuting to work, subsidised mobile phone allowance ABOUT US Amazon has built a reputation for excellence and Amazon Web Services (AWS) is carrying on that tradition while leading the world in Cloud technologies. . AWS is seeking talented engineers who enjoy solving problems, working with customers, and have a technical background from a variety of different fields including database design and optimization graph databases, and data warehousing. As a member of the AWS Support team you will be at the forefront of this transformational technology assisting a global list of companies that are taking advantage of a growing set of services and features to run their mission-critical applications. You will work with leading companies in this space and directly with the engineering teams within Amazon developing these new capabilities. Amazon has a fast-paced environment where we “Work Hard, Have Fun, Make History.” On a typical day, a Cloud Engineer might thoughtfully work with customers to dive deep into the root cause of an issue, investigate why a metric is trending the wrong way, consult with a diverse range of engineers at Amazon and discuss radical new approaches to automate operational issues. As an Analytics engineer our customers will depend on your knowledge in Redshift, Neptune and Quicksight. ABOUT YOU Apart from working on a broad spectrum of technical issues, an AWS Engineer may also coach/mentor new hires, develop & present training, partner with development teams on complex issues or contact deflection initiatives, participate in new hiring, write tools/script to help the team, or work with leadership on process improvement and strategic initiatives. Our Cloud Engineers are also the “voice of the customer” and have a strong voice into the development teams for recurring issues or feature requests. As we operate on a follow-the-sun model, with Premium Support sites located globally, there is no after hours on-call or mandated overtime in this role! Select a working week that works for you, working Sunday through to Thursday or Tuesday through to Saturday. Go forth and have the work-life balance you have always dreamed of! A suitable candidate would be someone who is extremely customer focused, who could multi-task and utilize both written & verbal communication skills to help our diverse range of customers resolve their complex technical issues. BASIC QUALIFICATIONS · Experience administering databases (MySQL, PostgreSQL, Oracle) · Experience with Linux Application level troubleshooting · Database performance tuning, troubleshooting, and optimisation · Bachelor’s degree in Information Science / Information Technology, Computer Science, Engineering, Mathematics, Physics; or relevant work experience · Comfortable in an ambiguous, ever changing environment PREFERRED QUALIFICATIONS · Some experience with query analyzers and query tuning / slow query optimization etc. · Experience working with large Cloud platforms or Virtualisation platforms(AWS, Azure, VMware) · Experience working in Large Enterprise, Public Sector, or with vendor managing, and/or maintaining large scale Enterprise systems. · Exposure to security concepts / best practices · Scripting / Programming experience in database related fields · Experience analyzing, troubleshooting, and providing solutions for technical issues · Experience with distributed data warehousing DESIRED QUALIFICATIONS · Experience scripting or developing in Python or Java
Oct 03, 2019
Full time
Amazon Sydney NSW, Australia
DESCRIPTION The Developer Tools team at Amazon is responsible for both internal and external (AWS) developer tools. We enable our customers to manage their end-to-end software release process (CI/CD), including going from source code check-in, to building those changes, to testing those changes, to deploying those changes, and tracking issues through our ticketing and issue management systems. We own several dozen of the mission-critical internal systems that make Amazon run. We also own the external AWS developer experience. We are empowering AWS customers to build and operate software just like Amazon does. CodeDeploy, CodeCommit, CodeBuild, CodePipeline, and Cloud9 are the beginning of a suite of tools that will put the power of Amazon’s homegrown tools in the hands of our customers. With thousands of internal and external developers as our customers, we run some of the biggest and most powerful developer tools on the planet. The Continuous Delivery team is looking for a software engineer who is passionate about making engineer's lives significantly better. The group uses deployment data from release automation systems to reduce service disruptions and outages. The team analyzes data from deployment and release automation systems to identify systems that are hidden areas of risk and excellence. You will make the deployment data easy for engineers and managers to inspect and analyze. More importantly, you will drive changes in our tools and processes with a goal of eliminating deployment related service disruptions. What you will do: · Your work is consistently of high quality. · You'll solve complex problems, applying appropriate technologies and best practices. · You'll work with your team to invent, design and build software that is stable and performant. · You'll write code that an SDE unfamiliar with the system can understand. · You'll work on project ideas with customers, stakeholders, and peers. · You'll help balance customer requirements with team requirements. · You'll help your team evolve by actively participating in the code review process, design discussions, team planning, and ticket/metric/ops reviews. · You'll focus on operational excellence, constructively identifying problems and proposing solutions. · You'll foster a constructive dialogue and seek resolutions in a professional way. BASIC QUALIFICATIONS · Equivalent experience to a Bachelor's degree based on 3 years of work experience for every 1 year of education · 4+ years professional experience in software development · Computer Science fundamentals in object-oriented design · Computer Science fundamentals in data structures · Computer Science fundamentals in algorithm design, problem solving, and complexity analysis · Proficiency in at least two modern programming language such as Java, Python, Ruby, C/C++, Go. PREFERRED QUALIFICATIONS · Bachelor's Degree in Computer Science or related field · Experience building complex software systems that have been successfully delivered to customers · Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations · Ability to take a project from scoping requirements through actual launch of the project · Experience in communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs. · Experience with Java concurrency and threading · Testing and debugging skills Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.
Oct 03, 2019
Full time
Amazon Sydney NSW, Australia
DESCRIPTION The AWS network is one of the largest networks in the world and its performance and availability are key differentiators in delivering the best cloud computing platform available. Do you want to work for a team that produces network automation software used by AWS Networking teams across the globe? The Network Deployment Automation team develops software tools and services that increase the safety and velocity of changes deployed to the AWS network. The team is looking for a Networking Systems Development Engineer (SysDE) to join its team to provide their networking and software expertise to expand the support that its software products have across the whole AWS global network. As a Networking SysDE, you will be familiar with large-scale data center networks and routing protocols, as well as having proven experience of developing automation software in a team. Our ideal candidate will have strong verbal and written communications, and the ability to work in multi-discipline technical teams. They will have the ability to collaborate on software automation design, and to lead and mentor junior network engineers who are learning automation. Responsibilities: · Build software models of complex network architectures · Develop best in class software systems for automating Amazon's network · Be part of the broader team that shapes the future automation of Amazon's Network · Deliver simple, sustainable and repeatable solutions and processes · Work closely with our Network Engineering teams to ensure fast, smooth roll-out of new designs and products · Create and review documentation and process regarding recurring issues, new standard operating procedures, knowledge transfer material, etc. BASIC QUALIFICATIONS · 3+ years of software development experience in general purpose programming languages including but not limited to Python and Java · Experience working with with Linux / Unix and shell scripting · Familiarity with network engineering routing protocols i.e. BGP and OSPF · Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations · Bachelor's degree in computer science, computer engineering or related technical discipline · Excellent written and verbal communication skills and an ability to interact efficiently with peers and customers · Awareness of cloud technologies and architecture · Proven ability to quickly learn and adapt to new concepts · Excellent analytical and problem solving skills PREFERRED QUALIFICATIONS · 2+ years of Network engineering experience with large-scale data center networks, including routing protocols like BGP and OSPF · An understanding of Computer Science fundamentals, data structures, algorithms, object-oriented design and systems architecture. · Experience with distributed computing and large-scale systems · Experience in communicating with users, other technical teams, and senior management to collect requirements, describe software product features, technical designs, and product strategy · Experience mentoring junior software engineers to improve their skills, and make them more effective, product software engineers
Oct 03, 2019
Full time
Amazon Sydney NSW, Australia
DESCRIPTION Are you ready to make a BIG difference? Join the AWS Managed Services team at the forefront of cloud technologies with interactions and integration across the full breadth of AWS services. Imagine if you could upload enterprise-level applications and software onto the cloud, and not have to worry about the associated routine tasks that ensure optimal performance. What if you could design intelligent software that could implement these tasks and return immediate and actionable information to its users? We are building intelligent software that automates infrastructure operations and provides recommendations to AWS users who are eager for deep insights into cost optimization, performance, security, and fault tolerance. As an Engineer on our team, you will become an AWS expert who understands and works with a variety of AWS services to build and deliver highly available, performant, and scalable systems to delight our customers. You will be surrounded by world-class engineers who are masters in their field, passionate about cloud computing, and excel at developing innovative solutions to solve customer problems. Our goal is to increase enterprise adoption of AWS by providing an AWS infrastructure operations management service. AWS Managed Services provides automated outcomes for critical infrastructure operations (e.g. operations as code) across change management, provisioning, monitoring, remediation, patch, backup, recovery, logging, compliance, and security. If you are a technically strong full-stack software engineer who can mentor and guide a team in tackling hard technical issues, who excels working in an agile environment, and gets excited about owning critical infrastructure services that serve global customers every second of the day, then you are a right fit for our team! Become an integral part of our fun, cooperative, and innovative team, and re:Invent history! Amazon.com has been rated one of the most admired companies in the US. Amazon’s Web Services (AWS) business has a history and tradition of leading the world in cloud technologies. BASIC QUALIFICATIONS · Bachelor’s or Advanced Degree in Computer Science or closely related field or Equivalent experience to a Bachelor's degree based on 3 years of work for every year of education. · 5+ years professional experience in software development. · Ability to lead a project from scoping requirements to a successful production launch. · Solid experience with one of the modern programming languages such as Java, Go, Scala, C/C++. · Strong debugging, troubleshooting, and problem-solving skills. · Computer Science fundamentals in object-oriented design, data structures, and algorithm design and analysis. · Experience with large-scale distributed storage and database systems (e.g. SQL, NoSQL, Graph Databases) · Strong understanding of common design paradigms and best software development practices. · Experience developing distributed systems and web services. · Familiarity with Agile development methodologies. · Strong oral and written communication skills. Ability to produce run books, technical, and non-technical documentation. · Prior leadership experience; mentoring and guiding team members through design reviews, code reviews, quality control processes, and software engineering best practices. PREFERRED QUALIFICATIONS · Familiarity with Linux development environment. · Familiarity with reporting and data interpretation. · Familiarity with AWS services or other cloud providers is a plus. · Ability to effectively articulate technical issues and solutions to non-technical audiences. · Ability to deal with ambiguous, undefined problems. · Ability to think abstractly and turn abstractions into results and products. · Familiarity with Big Data and/or Machine Learning.
Oct 03, 2019
Full time
Amazon Sydney NSW, Australia
DESCRIPTION The Amazon Australia 3P Product team is looking for an energetic, creative, and experienced Business Intelligence Engineer with a solid background in analytics to join our team. We are working on the future of the 3P business, and are responsible for innovating on the next suite of products and services for Amazon in Australia. We regularly use data to pitch ideas and drive innovation to improve existing features and programs, solving problems focused on (but not limited to) improving the experience of Selling Partners through machine learning and metrics that address the evolving needs of our stakeholders. The team plays a crucial role in ensuring the success of our Selling Partners and efficiency of our Operations. Amazon has a strong culture of data-driven decision-making; requiring timely, accurate, and actionable business intelligence that delivers significant business value. BASIC QUALIFICATIONS · Bachelor's degree in Computer Science, Engineering, Math, Finance, Statistics or related discipline · 3+ years' experience as a Data / Business Analyst pulling, analyzing, and delivering analyses · Advanced SQL (customized queries, automating scripts, ensuring job completion, resolving errors) · Experience with automated self-service reporting tools · Confidence in dealing with technical and non-technical senior level staff and ability to communicate in a crisp, concise and professional manner · Ability to operate successfully and independently in a fast-paced, results-oriented environment · Comfortably and skillfully flex among various tools according to the problem and data · Proven ability to manage multiple projects with competing priorities Applications will only be accepted from candidates that have the appropriate rights to work permanently in Australia. PREFERRED QUALIFICATIONS · Master’s degree in Computer Science, Engineering, Math, Finance, Statistics or related discipline · 5+ years’ experience with 2+ years Analytics and Process Improvement-related initiatives · Experience working with databases, database management tools and SQL · Experience and ability to effectively gather information from multiple data sources and systems then present that data and information in a logical and pragmatic way · Ability to work effectively with both technical resources and non-technical partners · Knowledge and direct experience using business intelligence reporting tools. (Cognos, Tableau, Quicksight, Datanet, etc.) · Basic statistical tests including (but not limited to), t-tests, chi-square, and regression · Proficiency with statistical/data modeling software packages (e.g. R, Python, SQL)
Oct 03, 2019
Full time
Amazon Sydney NSW, Australia
DESCRIPTION Excited by using massive amounts of data to develop Machine Learning (ML) and Deep Learning (DL) models? Want to help the largest global enterprises derive business value through the adoption of Artificial Intelligence (AI)? Eager to learn from many different enterprise’s use cases of AWS ML and DL? Thrilled to be key part of Amazon, who has been investing in Machine Learning for decades, pioneering and shaping the world’s AI technology? At Amazon Web Services (AWS), we are helping large enterprises build ML and DL models on the AWS Cloud. We are applying predictive technology to large volumes of data and against a wide spectrum of problems. Our Professional Services organization works together with our AWS customers to address their business needs using AI. AWS Professional Services is a unique consulting team. We pride ourselves on being customer obsessed and highly focused on the AI enablement of our customers. If you have experience with AI, including building ML or DL models, we’d like to have you join our team. You will get to work with an innovative company, with great teammates, and have a lot of fun helping our customers. If you do not live in a market where we have an open Data Scientist position, please feel free to apply. Our Data Scientists can live in any location where we have a Professional Service office. A successful candidate will be a person who enjoys diving deep into data, doing analysis, discovering root causes, and designing long-term solutions. It will be a person who likes to have fun, loves to learn, and wants to innovate in the world of AI. Major responsibilities include: · Understand the customer’s business need and guide them to a solution using ML and other computer science or mathematics techniques. · Assist customers by being able to deliver a ML / DL project from beginning to end, including understanding the business need, aggregating data, exploring data, building & validating predictive models, and deploying completed models to deliver business impact to the organization. · Use Deep Learning frameworks like MXNet, Caffe 2, Tensorflow, Theano, CNTK, and Keras to help our customers build DL models. · Use SparkML and Amazon Machine Learning (AML) to help our customers build ML models. · Work with our Professional Services Big Data consultants to analyze, extract, normalize, and label relevant data. · Work with our Professional Services DevOps consultants to help our customers operationalize models after they are built. · Assist customers with identifying model drift and retraining models. · Research and implement novel ML and DL approaches, including using FPGA. BASIC QUALIFICATIONS · A Bachelor or Masters Degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent experience · 7+ years of industry experience in machine learning · Previous experience in a ML or data scientist role and a track record of building ML or DL models · Experience using Python and/or R · Able to write production level code, which is well-written and explainable · Experience using ML libraries, such as scikit-learn, caret, mlr, mllib · Experience working with GPUs to develop models · Experience handling terabyte size datasets · Track record of diving into data to discover hidden patterns · Familiarity with using data visualization tools · Knowledge and experience of writing and tuning SQL · Past and current experience writing and speaking about complex technical concepts to broad audiences in a simplified format · Experience giving data presentations · Extended travel to customer locations may be required to deliver professional services, as needed · Strong written and verbal communication skills   PREFERRED QUALIFICATIONS · PhD in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) · 10+ years of industry experience in predictive modeling and analysis · Good skills with programming languages, such as Java or C/C++ · Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations · Consulting experience and track record of helping customers with their AI needs · Publications or presentation in recognized Machine Learning, Deep Learning and Data Mining journals/conferences · Experience with AWS technologies like SageMaker, S3, EC2, Data Pipeline, & EMR · Combination of deep technical skills and business savvy enough to interface with all levels and disciplines within our customer’s organization · Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.
Oct 03, 2019
Full time
Amazon Sydney NSW, Australia
DESCRIPTION Are you a Big Data specialist? Do you have Data Streaming and/or Hadoop experience? Do you like to solve the most complex and high scale data challenges in the world today? Would you like a career that gives you opportunities to help Australia and New Zealand customers and partners use cloud computing to do big new things faster and at lower cost? Do you want to be part of history and transform Australia and New Zealand businesses through cloud computing adoption? Do you like to work on-site in a variety of business environments, leading teams through high impact projects that use the newest data analytic technologies? Would you like a career path that enables you to progress with the rapid adoption of cloud computing? Amazon Web Services (AWS) is looking for highly skilled and motivated Data & Analytics Solution Architects to help accelerate the growth our customers need for their businesses in Australia and New Zealand. You would be part of a dynamic team bringing the latest in disruptive, cloud computing technologies to enable leaders that want to serve customers more effectively. You will have the opportunity to shape and deliver on a strategy to help customers better leverage AWS Data & Analytics platforms to meet their innovation agendas. Amazon strives to be the most customer centric company on earth. The ideal candidate will … · Enjoy working with customers and partners. You will have a passion for educating, training, designing, and building Big Data & Analytics cloud computing systems for some of the largest and most important accounts to drive efficiencies and increase innovation. · You will enjoy keeping your existing technical skills and developing new ones enabling you to lead deep Big Data & Analytics architecture discussions. · You will be happy to roll up your sleeves, learn the deep details of AWS systems, and generally do what it takes to achieve technical success for customers on the AWS platform. · You will develop and run technical workshops, prove our technology through mechanisms like demonstrations, proof-of-concept projects. · As the right candidate, you will love what you do, and instinctively know how to make work fun. You will be dynamic and creative, and willing to take on any challenge. Responsibilities include: · Collaborate with AWS field sales, Solution Architects, training and support teams to help partners and customers learn and understand the capabilities and value of AWS Big Data and Analytics services such as AWS Glue, Amazon Elastic Map Reduce (EMR), Amazon Athena & Amazon Kinesis, in addition to other offerings that form the Data & Analytics ecosystem. · Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, creating consulting proposals and designing relevant data solutions. · Push the envelope – Cloud computing is reducing the historical “IT constraint” on businesses. Imagine bold possibilities and work with our clients and partners to find innovative new ways to satisfy business needs through Data / Business Intelligence cloud computing. · Build the Community – Develop and cultivate a community of Big Data & Analytics experts, sharing ideas and best practices. Coordinate efforts around IP development, evangelism and thought-leadership events relating to Big Data & Analytics. · Provide thought leadership to Data & Analytics experts both externally through events like AWS Summit Series and User-Groups. · Work with AWS engineering and support teams to convey partner and customer needs and feedback as input to technology roadmaps. Share real world implementation challenges and recommend new capabilities that would simplify adoption and drive greater value from use of AWS cloud services. The candidate will possess both technical and customer-facing skills that will allow them to be a "trusted advisor" to customers. He or she will be able to facilitate relationships with senior personnel, as well as easily interact and give guidance to database experts, software developers, IT pros, and system architects. The ideal candidate will also have a demonstrated ability to think strategically about business, product, and technical challenges. If you are someone who enjoys innovating, likes solving hard problems and working on cutting edge technology, we would love to have you on the team. This role is Sydney based and covers the A/NZ region and regular travel will be required. BASIC QUALIFICATIONS · Deep understanding of Apache Hadoop and the Hadoop ecosystem. · Experience with tools such as Spark, Kafka, Hive. · Familiarity with SQL-on-Hadoop technologies such as Hive, Impala, Spark SQL, and/or Presto. · Current hands-on implementation experience required, possessing 5 or more years of IT platform implementation experience. · Experience in a consultative technical sales or professional services with a proven track record of success. · Ability to gain credibility and build relationships with all levels in an organisation, from technical experts to senior executives. · Demonstrated ability to think strategically about business, product, and technical challenges in an enterprise environment. · Track record of thought leadership and innovation around Big Data. · Solid understanding of Cloud Computing Technologies and related emerging technology Strong verbal and written communications skills are a must, as well as the ability to lead effectively across internal and external organisations and virtual teams. · A talent for being able to influence and build mindshare convincingly with any audience. Confident and experienced in public speaking to large audiences.   PREFERRED QUALIFICATIONS · Experience operating on agile cross-functional teams · Presentation skills with a high degree of comfort with both large and small audiences · BS degree or equivalent experience; Computer Science or Math background preferred. · Hands on experience leading large-scale global big data / analytics projects. · Familiar with AWS Services. Experience designing and implementing AWS solutions in business environments such as large enterprises and start-ups. · AWS Certifications, e.g. AWS Solutions Architect Professional desirable.
Oct 03, 2019
Full time
Amazon Sydney NSW, Australia
DESCRIPTION Amazon is expanding the Data Center management team globally and specifically in Australia. This position requires broad skills in Data Center / Critical Facilities Environment knowledge with Subject Matter Expertise (SME) in as many relevant fields as possible. The Data Center Engineering Operations Manager, will be responsible for developing and improving the performance of our incumbent Service Providers in their provision of site operations and maintenance of their electrical, mechanical, and HVAC equipment as contracted by AWS to support some aspects of our mission-critical IT Systems and must maintain better than 99.999% availability. This position will liaise with Service Delivery Vendors on a regular basis ensuring that each operator is working to deliver on their contracted reliability and performance whilst always looking to innovate and improve the services and operations supporting our business. The Data Center Engineering Operations Manager ensures that that the AWS team under their control is also performing at an optimum level in line with our objectives to raise the bar on the Service Delivery levels on an ongoing basis. The team will ensure that the Vendors maintain, operate, and troubleshoot, Data Center Operation’s Mission Critical Facilities and support systems, which would typically include stand-by diesel generators and related fuel systems, 3 phase electrical systems that include but not limited to switchgear, UPSs, PDUs , ATS, CRAC, chillers, air handlers and associated systems, pumps, & motors. Primary responsibilities include, but are not limited to: · Jointly drive completion of all Data Center changes/events/incidents/problems from beginning to end and follow-up resolution actions with the Data Center Service Vendor · Ensure maintenance/ repairs of site-critical facility infrastructure for Data Centers are planned, scheduled and executed in the best interest of the business. · Responsible for Asset and Inventory management in the Data Center. · Work with the Vendors to ensure they develop and maintain methods of procedures, standard operating procedures, emergency response procedures, preventive maintenance programs, and all technical documentation. Ensure standardization and consistency with best-in-class operating practices. · Develop and deliver regular engineering reports and ensure adherence to contracted deliverables including SLA’s and KPI’s. · Overseeing all changes and the change management processes within the Data Centers including the delivery, installation, configuration, planned preventative maintenance, decommission, and disposal of AWS equipment. · Knowledge of Data Center capacity planning and management processes. · Ensure methods are in place that supervise 3rd party contractors performing servicing or preventive maintenance. · EOT team to perform trouble-shooting for Data Hall and Rack level events. · Ensure EOT's perform basic support concepts such as ticketing systems, root cause analysis, and task prioritization. · Ensure Vendor maintains maintenance tasks to include: filter changes, battery system PMs, and Rack PDU & Rack ATS replacements. · Have the DCEO team assist with installation of racks into Data Center environment and provide quality assurance · Provide hands on facility support where & as required (e.g. installation of new equipment, decommissioning of equipment, replacement of faulty equipment, internal audits…etc.) · Reviewing incident reports, documenting periodic trend summaries, and providing updates and recommended actions to management. · Managing information flow during incidents while providing regular updates to management. · Manage and coordinate with vendors to resolve any incidents during emergency situations. · Promote engineering best practice, continuous improvement, and value engineering. · Aware of Australian WHS requirements. BASIC QUALIFICATIONS · At least two to three years of experience of Data Center and or Critical Facilities Operations Management and managing on-call support for Data Center or Critical Facilities · 2 years Vendor Management exposure · An excellent understanding on the nature and operation of mission critical systems (Data Centers, Hospitals, Power Plants, military facilities, etc.) · Proven history of working with and developing teams to help them perform at their best · Ability to solve problems at their root, stepping back to understand the broader context · Ability to write and review accurate and complete support procedures, system documentation, and issue tracking entries. · Shows good judgment and instincts in decision making under pressure. · Ability to prioritize in complex, fast-paced environment · Proactively and continually improve his/her level of knowledge about Amazon’s business and relevant technologies. · Computer literacy PREFERRED QUALIFICATIONS · Operations Management Experience · An excellent understanding of the Mechanical systems in critical Data Center operations such as CRACs/CRAHs/AHUs, chillers, cooling towers systems etc · An excellent understanding of other facilities systems used in Data Centers and Mission critical facilities, including such as fire detection and suppression systems, Building Management Systems etc · Critical Facilitiesssssssss IST and Commissioning experience · Certifications/Accreditations that will be viewed positively: PMP; Prince2; ITIL v2/3; BICSI; ASHRAE, CDCP/S/E or equivalent · An undergraduate degree in a technical field (Electrical Engineering, Mechanical Engineering, Industrial Engineering
Oct 03, 2019
Full time
Amazon Sydney NSW, Australia
BENEFITS · Be a part of the Earth's largest Cloud Platform organization · Clear and defined career progression, training & certifications + much more · Subsidised Healthcare, Sign-on bonus, Stock & Shares, Paid commuting to work, subsidised mobile phone allowance DESCRIPTION Amazon has built a reputation for excellence with recent examples of being named #1 in customer service, #1 most trusted, and #2 most innovative. Amazon Web Services (AWS) is carrying on that tradition while leading the world in Cloud technologies. AWS Premium Support provides global technical support to a wide range of external customers as they build mission-critical applications on top of AWS services. Our Big Data teams specialise in helping customers with streaming, storing and processing vast amounts of data in the Cloud. We also help our customers to leverage this data to produce business insights, which may include using Machine Learning/Artificial Intelligence (ML/AI) while our engineers focus on helping customers use and integrate services in what is arguably our industry’s most exciting space. The portfolio of services covers EMR (Hadoop), DynamoDB (NoSQL), ElasticSearch, Kinesis, Athena, ML/AI & more. With a global presence in many countries, our follow the sun support and shift model mean you will not be on-call! We are seeking talented Cloud & Systems engineers who are well versed in maintaining large complex systems/clusters. You will be able to write code to automate maintenance, monitor performance or crunch data to solve business problems. We invest heavily in knowledge acquisition and skills development providing unlimited opportunities for technical and career development. If you have a spark for knowledge – we have the fuel for the fire!!! Typical Day - Every day will bring new and exciting challenges on the job while you: · Apply advanced troubleshooting techniques to provide tailored solutions for our customers. · Drive customer interactions through: Phone, Chat, Emails, Screen shares and conference calls. · Leverage your customer support experience to provide feedback to internal AWS teams on how to improve our services. · Interact with leading technologists around the world. BASIC QUALIFICATIONS To qualify for this role, you should have the following experience: · Strong Linux/Unix system administrator skills. · Intermediate programming/scripting skills. Ideally in Java or Python, but will consider experience in other Object Oriented and Functional languages. · Understanding of networking principles and ability to troubleshoot (DNS, TCP/IP, HTTP). · Foundation knowledge of databases and Structured Query Language (SQL). · Understanding of Virtualization and/or cloud computing. · Good understanding of security best practices. · Impeccable written & oral communication skills. · Exceptional customer focus / customer service experience. · Good understanding of distributed computing environments and methodologies. · Ability to work a staggered week, either Sun-Thu or Tue-Sat (no on-call) PREFERRED QUALIFICATIONS These qualifications are optional, but please highlight them on your resume if you have them: · Experience in either software development or technical support. · Demonstrable knowledge & experience in various Big Data or distributed systems. Such as Hadoop, NoSQL, Search and Streaming · Experience with Cloud Services and Cloud deployments. Exposure specifically to AWS is a bonus · Experience utilising data analysis techniques such as quantitative or qualitative analysis · Ability to work in a fast paced and agile development environment
Oct 03, 2019
Full time
Amazon Sydney NSW, Australia
DESCRIPTION Start your career with Amazon's Australia retail team. Located in Sydney, Amazon Strategic Vendor Services team is looking for a bright, customer obsessed and driven analyst to join our team. As Brand Data Analyst, you will join the Amazon Strategic Vendor Services team and partner with key brands to maximize their potential on Amazon and make a major impact on our customer's experience. You’ll be responsible for looking after key strategic vendors in a globally unique relationship, contributing to improvements in their operational metrics and creating detailed reports on performance. You’ll lead presentations and planning sessions and act as the main point of contact for them. You will also provide support to drive category growth through detailed analysis of business inefficiencies and identifying solutions; proposing changes to operational processes; driving a high standard in customer satisfaction; ensuring high-quality product detail pages; and making recommendations for effective marketing campaigns. To achieve success in this role, you will have strong analytical, relationship management and organisational skills. You'll be an analytics expert, identifying problem areas and then creating plans to find resolutions, with the ability to pick up new skills quickly. You'll have strong communication skills and a proven track record of building positive working relationships. You will have to be very comfortable delivering results in an ambiguous environment, being exceptionally detail orientated while looking around corners and thinking bigger about how we create a compelling customer offer. You will also use a wide range of skills working across major functional areas: - Vendor management: helping grow selection of products to sell on Amazon, on-boarding new vendors, identifying and resolving vendor-related issues - In-stock management: tracking purchase orders, investigating late deliveries, resolving order rejections, working with vendors on PO automation - Online marketing: improving product page data, developing marketing and merchandising plans, improving customer experience onsite, helping generating traffic and sale. BASIC QUALIFICATIONS You are degree qualified , with strong oral and written communication skills. You thrive in a fast-paced environment and pride yourself on your flexible, detail-oriented, analytical mind set and can operate with a high degree of autonomy. Strong analytical and data skills are essential to succeed in this role. PREFERRED QUALIFICATIONS Prior experience working in Retail (Buying, Marketing &/or Supply Chain). Prior experience working in data & analytics (SQL, Tableau, Excel)
Oct 03, 2019
Full time
Amazon Sydney NSW, Australia
DESCRIPTION Are you an experienced data warehouse and big data analytics specialist? Do you like to solve the most complex and high scale data challenges in the world today? Do you want to have an impact in the development and use of new data analytics technologies? Would you like a career that gives you opportunities to help customers and partners use cloud computing web services to do big new things faster, at lower cost? At AWS, we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements will focus on customer solutions such as batch data processing, designing and deploying future state of fully managed, petabyte-scale data warehouse service and assist in building or designing reference configurations to enable our customers and influence Redshift adoption. Responsibilities include: · Employ customer facing skills to represent AWS well within the customer’s environment and drive discussions with senior personnel regarding trade-offs, best practices, project management and risk mitigation · Write and produce technical documentation, knowledgebase articles · Work closely with AWS Redshift teams at all levels to help ensure the success of project consulting engagements with customer · Work directly with customers’ technical resources to devise and recommend solutions based on the understood requirements · Help design and implement Redshift Cluster architectures and configurations for customer · Demonstrated ability to think strategically about business, product, and technical challenges in an enterprise environment. · Consulting with Customer to troubleshoot error conditions and migrate load processes from Appliance DWH system (e.g. Netezza, Teradata) to AWS Redshift · Consulting with Customers in optimal design of database projections · Analyze complex distributed production deployments, and make recommendations to optimize performance · Highly technical and analytical, possessing 5 or more years of IT platform implementation experience · Keep current with the NoSQL and MPP ecosystem technologies · Developing innovative solutions to complex business and technology problems · Travel up to 50% BASIC QUALIFICATIONS · 5+ years of experience in DBA or application DBA activities · Understand high availability concepts · Understands server tuning concepts (parameters, resources, contention, etc) · Backup / restore/ Disaster Recovery experience · Experience with data warehousing concepts and techniques including extensive knowledge and use of star schema · Experience in optimization techniques such as projections and partitioning · Able to write, tune SQL queries · Understand column store databases · Scripting language (bash, perl, python) · Proven ability in managing databases of 1-10TB in size (Vertica, Greenplum, Netezza, AsterData, Paracel, Exadata) · Understanding of OLTP vs OLAP data administration needs · Experience in ETL/ELT workflow management · Understanding and ability to participate in all phases of the SDLC including requirements gathering, business analysis, configuration management and quality control · Be mobile and open to travel to client locations as and when required. PREFERRED QUALIFICATIONS · Hands on experience leading large-scale global data warehousing and analytics projects. · Demonstrated industry leadership in the fields of database, data warehousing or data sciences. · Experience with AWS EC2, monitoring and optimization · Implementation and tuning experience specifically using Amazon Elastic Map Reduce (EMR). · NoSQL · Full understanding of Redshift or Columnar DB architecture · Familiar with HBASE · Track record of implementing AWS services in a variety of distributed computing, enterprise environments.
Oct 03, 2019
Full time
Amazon Sydney NSW, Australia
DESCRIPTION Are you a data and analytics specialist? Do you have deep expertise in AWS services for managing data at speed and scale? Do you think big about how data can change the world, and want to have an impact on the development and delivery of new data analytics technologies and services? Would you like a career that gives you opportunities to help customers and partners use Cloud computing services to build new solutions, faster, and at lower cost? At AWS, we’re hiring highly technical cloud computing architects and engineers to collaborate with our customers, partners, field and engineering teams on solutions in database, data management, and analytics. These engagements will focus on real time and batch-based data processing, business intelligence, analytics, and machine learning. In this role, you'll work directly with customers to support the most technically demanding use cases, and distil these reference architectures into best practices, patterns and training for the wider AWS field teams. Through these engagements, you'll represent the voice of the customer within AWS database service engineering teams, which will help shape the roadmap for our services, and you'll be an integral part of building our global database and analytics community. Roles & Responsibilities · Develop and deliver training on new and existing DBS Services to internal AWS Technical Roles to promote technical readiness for AWS services including Elastic Map Reduce (EMR), Redshift, Kinesis, Amazon Machine Learning, Amazon Athena, Data Pipeline, S3, DynamoDB, ElastiCache and the Relational Database Service (RDS) · Manage escalations for technical depth from AWS field sales, pre­sales, training and support teams in customer · Produce and validate reference architectures and technical content · Capture best-practice knowledge from engineering and field teams and share reference architectures and patterns amongst the worldwide AWS solution architect community · Represent the voice of the customer and field engagement teams with Database Services engineering teams, and communicate information to the field about service strategy · Collaborate with AWS field teams to build a strong worldwide Database and Analytics community BASIC QUALIFICATIONS · Highly technical and analytical, possessing 10 or more years of analytics platform implementation or operations experience. Database & Analytics Systems development and deployment experience, IT systems and engineering experience, security and compliance experience, etc. · Possess significant experience of software development and/or IT and implementation/consulting experience. · Strong verbal and written communications skills are a must, as well as the ability to work effectively across internal and external organizations and virtual teams. · Executive speaking and presentation skills – formal presentations, white boarding, large and small group presentations. · Ability to think strategically about business, product, and technical challenges in an enterprise environment. · Implementation and tuning experience in the Big Data Ecosystem, (EMR, Hadoop, Spark, R, Presto, Hive), Database (Oracle, mysql, postgres, MS SQL Server), NoSQL (DynamoDB, HBase, MongoDB, Cassandra, design principles) and Data Warehousing (Redshift, Teradata, Vertica, schema design, query tuning and optimization) and data migration and integration. · Knowledge of foundation infrastructure requirements such as Networking, Storage, and Hardware Optimisation. PREFERRED QUALIFICATIONS · Hands on experience leading large-scale global database, data warehousing and analytics projects. · Demonstrated industry leadership in the fields of Database and/or Data Warehousing, Data Sciences and Big Data processing. · Deep understanding of data, application, server, and network security · Experience with Statistics, Machine Learning and Predictive Modelling. · Hands on experience as a database, data warehouse, big data/analytics developer or administrator, or work as a data scientist. · Experience working within the software development or Internet industries is highly desired. · Advanced technical degrees in computer science, software engineering, or mathematics · Working knowledge of modern software development practices and technologies such as agile methodologies and DevOps. · Track record of implementing AWS services in a variety of business environments such as large enterprises and start-ups. · AWS Certification, eg. AWS Solutions Architect, Developer, or SysOps Associate/Professional · BS level technical degree required; Computer Science or Mathematics background preferred. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We value your passion to discover, invent, simplify and build.
Oct 03, 2019
Full time
Amazon Sydney NSW, Australia
DESCRIPTION Amazon Web Services is the largest consumer cloud offering in the world, powering cutting-edge science, rapidly growing startups, and industry leaders. This team builds the systems and services that ensure that AWS customers can rely on the highest-availability, lowest-latency cloud platform on the planet. At the scale of Amazon, unique and complex problems are a part of our daily-life. If you are excited about the prospect of solving problems never heard of and use massive amounts of data to develop Machine Learning (ML) and Deep Learning (DL) models, then we’d love to hear from you! Our team in Sydney is working on a brand-new, Sydney born and bred, public AWS product. Our success depends on our ability to process data produced by AWS and by our customers, globally, in real-time across a wide spectrum of problems. The product built by this team solves critical problems for large and small organizations across the world, and lives up to the high Availability and Reliability standards already associated with an AWS product. Since we are just getting started, you have the unique opportunity to shape the future of how Data Science impacts this space. In this position, you will research and develop innovative Machine Learning based approaches to predict the near-term future. You will have ownership over our data strategy, working in one of the world’s most diverse and complex data environments, bringing together loosely structured data sets to find actionable outcomes that improve our customer’s experience. We are looking for someone who is passionate about data, has deep expertise and experience in processing and manipulating huge amounts of data, both historical and in real-time. The successful candidate will also have experience working in a development team to translate their models into working software. In addition, the candidate will possess excellent business and communication skills, be able to work with engineers as well as business owners to formulate our data strategy and drive its execution across the globe. Job Responsibilities: · Develop quantitative models across multiple reliability data slices for use in Machine Learning and other systems · Develop hypotheses, design experiments, collaborate with engineering team to implement live tests and evaluate their performance · Answer complex business questions by using appropriate statistical techniques on available data or designing and running experiments to gather data · Manage critical processes that are central to the delivery of accurate results (e.g. data pipelines, etc.) · Communicate findings to managers and engineers, often through succinct written summaries of findings and code samples BASIC QUALIFICATIONS · MS in Machine Learning, Mathematics, Statistics, Computer Science or in another highly quantitative field · 8+ years of relevant academic research or industry experience in developing algorithms · Previous experience in a ML or data scientist role and a track record of building ML or DL models · Experience using Python and/or R · Knowledge of SparkML · Experience handling terabyte size datasets · Track record of diving into data to discover hidden patterns · Familiarity with using data visualization tools · Strong verbal/written communication & data presentation skills, including an ability to effectively communicate with both business and technical teams PREFERRED QUALIFICATIONS · PhD in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) · 4+ years of industry experience in predictive modeling and analysis · Good skills with programming languages, such as Java, C/C++ or others · Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations · Consulting experience and track record of helping customers with their AI needs · Publications or presentation in recognized Machine Learning, Deep Learning and Data Mining journals/conferences · Experience with AWS technologies like Redshift, S3, EC2, Data Pipeline, & EMR · Combination of deep technical skills and business savvy enough to interface with all levels and disciplines within our customer’s organization · Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment
Oct 03, 2019
Full time
Amazon Sydney NSW, Australia
DESCRIPTION Are you a Data Analytics specialist? Do you have Data Warehousing and/or Hadoop experience? Do you like to solve the most complex and high scale (billion + records) data challenges in the world today? Would you like a career that gives you opportunities to help customers and partners use cloud computing to do big new things faster and at lower cost? Do you want to be part of history and transform businesses through cloud computing adoption? Do you like to work on-site in a variety of business environments, leading teams through high impact projects that use the newest data analytic technologies? Would you like a career path that enables you to progress with the rapid adoption of cloud computing? At Amazon Web Services (AWS), we’re hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements involve emerging technologies like AI, IoT, and Data Analytics. This role will specifically focus on Data and Analytics capabilities and helping our customers and partners to remove the constraints that prevent our customers from leveraging their data to develop business insights. At AWS, we are hiring the best Data / Analytics cloud computing consultants, who can help our clients and partners derive business value from Data in the cloud. Our consultants will collaborate with partner and client teams to deliver proof-of-concept projects, conduct topical workshops, and lead implementation projects. These professional services engagements will focus on customer solutions such as HPC, batch/realtime data processing, Machine Learning, Data Analytics and Business intelligence. This role will specifically focus on Data processing capabilities and helping our customers and partners to remove the constraints that prevent our customers from leveraging their data to develop business insights. Responsibilities include: Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Amazon Elastic Compute Cloud (EC2), Amazon Data Pipeline, S3, DynamoDB NoSQL, Relational Database Service (RDS), Elastic Map Reduce (EMR) and Amazon Redshift. Solutions - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, creating consulting proposals and creating packaged Data service offerings. Delivery - Engagements include short on-site projects proving the use of AWS services to support new distributed computing solutions that often span private cloud and public cloud services. Engagements will include migration of existing applications and development of new applications using AWS cloud services. Insights - Work with AWS engineering and support teams to convey partner and customer needs and feedback as input to technology roadmaps. Share real world implementation challenges and recommend new capabilities that would simplify adoption and drive greater value from use of AWS cloud services. Push the envelope – Cloud computing is reducing the historical “IT constraint” on businesses. Imagine bold possibilities and work with our clients and partners to find innovative new ways to satisfy business needs through Data / Business Intelligence cloud computing. BASIC QUALIFICATIONS · Bachelor’s degree, or equivalent experience, in Computer Science, Engineering, Mathematics or a related field · 12+ years of experience of IT platform implementation in a highly technical and analytical role. · 5+ years’ experience of Data Analytics platform implementation, including 3+ years of hands-on experience in implementation and performance tuning Hadoop/Spark implementations. · Ability to think strategically about business, product, and technical challenges in an enterprise environment. Leadership and innovation around Data Analytics. · Experience with analytic solutions applied to the Marketing or Risk needs of enterprises · Highly technical and analytical, possessing 5 or more years of IT platform implementation experience. · Understanding of Apache Spark/Hadoop and the Data Analytics ecosystem. Experience with one or more relevant tools (Sqoop, Flume, Kinesis, Kafka, Oozie, Hue, Zookeeper, Ranger, Elasticsearch, Avro). · Familiarity with one or more SQL-on-Hadoop technology (Hive, Pig, Impala, Spark SQL, Presto). · Experience developing software code in one or more programming languages (Java, JavaScript, Python, etc). · Current hands-on implementation experience required · Ability to travel to client locations to deliver professional services when needed. PREFERRED QUALIFICATIONS · Masters or PhD in Computer Science, Physics, Engineering or Math. · Hands on experience leading large-scale global data warehousing and analytics projects. · Understanding of database and analytical technologies in the industry including MPP and NoSQL databases, Data Warehouse design, BI reporting and Dashboard development. · Industry leadership in the fields of database, data warehousing or data sciences. · Implementation and tuning experience specifically using Amazon Elastic Map Reduce (EMR). · Implementing AWS services in a variety of distributed computing, enterprise environments. · Computer Science or Math background preferred. Customer facing skills to represent AWS well within the customer’s environment and drive discussions with senior personnel regarding trade-offs, best practices, project management and risk mitigation. Should be able to interact with Chief Marketing Officers, Chief Risk Officers, Chief Technology Officers, and Chief Information Officers, as well as the people within their organizations.
Oct 03, 2019
Full time
Amazon Sydney NSW, Australia
DESCRIPTION Are you excited by using massive amounts of data to help run the network behind the world's largest public cloud? At AWS, Network Availability Engineering is seeking a talented Data Scientist to join their Sydney team! The Network Health team delivers on network automation software solutions to be used by our networking teams across the globe, to enforce safe operation of our large global network. Here at AWS we are looking for a Data Scientist who is passionate about using data to drive business decisions, measure the effectiveness of our network modelling software tools, improve our processes, and to help bring machine learning techniques to the mainstream within the Networking organisation! The successful candidate is an engineer with a passion for data science that sets a high bar for ability to deliver various data products ranging from actionable insights, advanced visualisation, to real time machine learning models. They must possess strong verbal and written communication skills, be self-driven and deliver high quality results in a fast paced environment. They need to enjoy working with their customers and peers, and help plan and deliver results that matter to the business. They are not afraid of technical discussion, and can utilise their analytical skills to isolate valuable data, noting trends and patterns in order to inform decisions. They know how to use data to make the case for business decisions. The successful candidate will be responsible for: · Finding and processing large data sets to help define the best ways for our team to define network health. · Working together on algorithms to accurately model the operation of large scale computer networks, including using Machine Learning to develop accurate models. · Collecting, analysing, and presenting actionable insights to drive team and customer experience decisions. · Understanding high-level business objectives and continually aligning work with those objectives to meet needs of the business. · Identifying, analysing, and solving problems at their root, while maintaining focus on the bigger picture. · Recognising and adopting best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation. · Writing high quality code to retrieve and analyse data and solve business problems, to then be released to our software developers to transform into stable production code. · Learning and understanding a broad range of Amazon's data resources and knowing when, how, and which to use and which not to use. BASIC QUALIFICATIONS · B.S. in Mathematics, Computer Science, Engineering, Statistics, etc. · Strong communication (verbal and written) and interpersonal skills, team player· 3+ years of experience analysing data in some capacity · Understanding of statistical methods · Experience with R, Spark, EMR, etc · Strong in at least one scripting language (Perl, Python etc.) · Application of Machine Learning fundamentals · Solid understanding of SQL, OBIEE and other data mining and analysis tools · Strong problem solving and algorithm design ability PREFERRED QUALIFICATIONS · Hands-on experience in Unix command line programming (bash, shell, AWK, grep, sed, etc.) · Experience working in a large-scale networking environment · Experience building advanced visualization using common frameworks · Familiarity with AWS data analytics and machine learning services · Post graduate qualification in quantitative discipline · Publication track record in top tier conferences and journals · Network analytics · Operational analytics · Time series analytics
Oct 03, 2019
Full time
Amazon Melbourne VIC, Australia
Roles and Responsibilities · Educate customers on the value proposition of AWS and participate in deep architectural discussions to ensure solutions are designed for successful deployment in the cloud · Build deep relationships with senior technical individuals within customers to enable them to be cloud advocates · As a key member of the sales team, ensure success in building and migrating applications, software, and services on the AWS platform · In partnership with the sales team, formulate and execute a sales strategy to exceed revenue objectives through the adoption of AWS · Own each technical engagement and help ensure timely and successful delivery of value. (delivery of actual solutions to be done by AWS partners) · Conduct one-to-few and one-to-many training sessions to transfer knowledge to customers considering or already using AWS · Capture and share best-practice knowledge amongst the AWS solutions architect community including authoring or otherwise contributing to AWS customer-facing publications such as whitepapers and blogs. · Act as a technical liaison between customers, service engineering teams and support · Understand the AWS market segments, customer base, and industry verticals. BASIC QUALIFICATIONS · The right person will be highly technical and analytical, possess 10 + years of current solution architecture (implementation/consulting) experience · Experience architecting infrastructure solutions using both Linux/Unix and Windows with specific recommendations on the server, load balancing, HA/DR, & storage architectures. · Experience architecting or deploying Cloud/Virtualization solutions in enterprise customers. AWS specific experience a bonus. · Enterprise application and database architecture a bonus. · Experience in Software Development and Automation of a bonus. · Strong verbal and written communication skills are a must, as well as the ability to work effectively across internal and external organizations. PREFERRED QUALIFICATIONS · AWS Certified SA Professional. · Hands-on development experience and full understanding of full-stack development · Fluent in AWS technologies. · Proficient in a modern programming language such as Java, NodeJS or Python · Technical degree; Computer Science or Math background highly desired · Experience working within software development or Internet-related industries · Experience migrating or transforming legacy customer solutions to the cloud · Familiarity with common enterprise services (Directory Services, Information Assurance, Virtual Desktop, etc.), products (i.e., Oracle, SAP) and frameworks (ITIL, Zachman, TOGAF, etc.)
Oct 02, 2019
Amazon Melbourne VIC, Australia
BASIC QUALIFICATIONS * 15+ years of professional hands-on and leadership experience in commercial and web-scale database systems development and delivery * Deep demonstrable and expert knowledge of modern database systems including MySQL, Postgres, MS SQL Server, Amazon Aurora *Proficiency in a modern programming language such as C#, Java, Node (Javascript) or Python * Understanding of operating system fundamentals (Linux or Windows) * Understanding of scalable computing systems, software architecture, data structures, and algorithms * Knowledge of network, distributed, asynchronous, and concurrent programming * Knowledge of professional software engineering best practices for the full software development life cycle * Strong verbal and written communication skills * Strong analytical skills, with excellent problem-solving abilities PREFERRED QUALIFICATIONS · Experience building and operating scalable database infrastructure and distributed systems · Experience developing database-driven software with knowledge of web protocols and modern web-scale architecture · Familiar with building secure software using modern security principles · Demonstrated ability to achieve stretch goals in a highly innovative and fast-paced environment
Oct 02, 2019
Full time
Amazon Melbourne VIC, Australia
BASIC QUALIFICATIONS · A Bachelor or Masters Degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent experience · 7+ years of industry experience in machine learning · Previous experience in a ML or data scientist role and a track record of building ML or DL models · Experience using Python and/or R · Able to write production-level code, which is well-written and explainable · Experience using ML libraries, such as sci-kit-learn, caret, mlr, mllib · Experience working with GPUs to develop models · Experience handling terabyte size datasets · Track record of diving into data to discover hidden patterns · Familiarity with using data visualization tools · Knowledge and experience of writing and tuning SQL · Past and current experience writing and speaking about complex technical concepts to broad audiences in a simplified format · Experience giving data presentations · Extended travel to customer locations may be required to deliver professional services, as needed · Strong written and verbal communication skills PREFERRED QUALIFICATIONS · PhD in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) · 10+ years of industry experience in predictive modeling and analysis · Good skills with programming languages, such as Java or C/C++ · Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations · Consulting experience and track record of helping customers with their AI needs · Publications or presentation in recognized Machine Learning, Deep Learning, and Data Mining journals/conferences · Experience with AWS technologies like SageMaker, S3, EC2, Data Pipeline, & EMR · Combination of deep technical skills and business savvy enough to interface with all levels and disciplines within our customer’s organization · Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.
Oct 02, 2019
Full time
Amazon Melbourne VIC, Australia
Roles and Responsibilities: Many Australian software businesses are investing in modernizing their technology stacks and platforms to iterate faster, increase software and product feature velocity, achieve a global reach for their products and services, improve the security posture for their software, all while driving cost to serve and acquire as lower as possible. You will provide a technology leadership role in supporting Australia software businesses modernize and invent their future software products, including: · Migrating away from software monoliths to more flexible serverless and container-based microservices architectures · Improving security and operational rigour by embracing DevSecOps and SRE · Adopting new API strategies using REST and GraphQL · Moving away from legacy relational database systems to modern database options · Embracing the deluge of data opportunities by inventing and delivering powerful data analytics and AI/ML platforms and tools · Evolving towards fully multi-tenant global SaaS platforms. You will also: · As a key member of the SA team, ensure success in designing, building and migrating applications, software, and services on the AWS platform · Provide architectural guidance and recommendations on running applications efficiently and reliably on AWS platform · Assist ISVs with the definition of technical strategies that will enable them to present their offering on the AWS platform · Participate in deep architectural discussions and design exercises to create world-class solutions built on AWS while ensuring solutions are designed for successful deployment in the cloud · Author or otherwise contribute to AWS customer-facing publications such as whitepapers and proof of concepts · Share customer feedback to internal product management and engineering teams to help drive the future of AWS cloud · In partnership with the sales team, formulate and execute sales strategies to exceed revenue objectives through the adoption of the AWS platform · Build deep relationships with senior technical individuals within customers to enable them to be cloud advocates · Capture and share best-practice knowledge amongst the AWS solutions architect community · Serve as the AWS executive technical sponsor for strategic customer initiatives · Actively participate in AWS and industry events · Identify patterns across customers to help AWS publish white papers, customer technical case studies, blog posts, pre-sales first call decks and other content that will drive scale, standardization, and repeatability. Who will you work with: As an AWS Software Solutions Architect, you will act as a trusted advisor to senior technology stakeholders through your role as CTO advisory and work directly with roles like CTO, CIO, VP Engineering, Head of Development, Head of Data, Chief Product Officer as well as build with and enable development and engineering teams directly. You will work closely with internal teams at AWS, including field teams like the AWS Partner, AWS Sales, AWS Professional Services and AWS Support teams, but you will also work directly with AWS product and service teams to provide the technical feedback loop between product teams and your customers. BASIC QUALIFICATIONS · 10+ years design/implementation/consulting experience with distributed applications · 10+ years of experience in application architecture and full-stack software development · Deep proficiency in a modern programming language such as Java, NodeJS, .NET, Go, Rust or Python · Knowledge of and advocate for Continuous Integration, Continuous Deployment, and Software Engineering best practices · Deep working knowledge of software development tools and methodologies · Technical degree required; Computer Science or Math background desired. PREFERRED QUALIFICATIONS · Experience architecting/operating solutions built on AWS · Presentation skills with a high degree of comfort speaking with executives, IT Management, and developers · Excellent communication skills with an ability to right level conversations · Recent (within the last 3 years) hands-on software development experience and deep understanding of full-stack development · Experience modernizing legacy software architectures, and moving to modern, shared-nothing microservices architectures. · Experience building event-driven, real-time data workflows and pipelines · AWS Solutions Architecture Professional certification.
Oct 02, 2019
Full time
Amazon Melbourne VIC, Australia
BASIC QUALIFICATIONS · Bachelor’s Degree in Computer Science or related field, or 5+ years of relevant work experience. · 5+ years experience in at least one modern Object-Oriented programming language such as Java, C#, or C++ · 2+ years operating enterprise applications in a cloud environment · Experience with cloud design patterns and service-oriented architecture · Demonstrated application of information security best practices · Demonstrated ability to program to solve problems and automate repetitive tasks in a common scripting or programming language such as Perl, PowerShell, and/or VBScript · Leadership experience with track record of driving projects to completion PREFERRED QUALIFICATIONS · Experience administrating Linux-based systems · Experience with Linux based LDAP solutions and/or Microsoft Active Directory · 3+ years building web-based applications using HTML, jQuery, Ajax, CSS (without Flash, Shockwave, Silverlight) · Flexibility, thinking on your feet, and strong problem solving skills · Proven record of driving vendor adoption of best practices for service-oriented architecture, ITIL operations framework, and information security · Experience building highly-scalable globally-distributed systems · Familiarity with Amazon builder tools, monitoring systems, and infrastructure management tools. · Demonstrable track record dealing well with ambiguity, prioritizing needs, and delivering measurable results in an agile environment · Clear, professional communication skills able to contribute to team discussions, knowing when to contribute, when to listen, and when to ask questions
Oct 02, 2019
Full time
Amazon Melbourne VIC, Australia
BASIC QUALIFICATIONS · More than 10+ years of business development, enterprise account management, or product management experience · Consistently exceeds key performance metrics · Strong communication skills and the ability to articulate complex concepts to cross-functional audiences. · Strong technical acumen, with a demonstrated track record of driving emerging/disruptive technologies like open-source software, virtualization, and Software as a Service delivery models. · Ability to think and work creatively to develop unique joint value propositions and product strategy within a partner ecosystem PREFERRED QUALIFICATIONS · Prior start-up experience as a founder or executive focused on the Big Data segment, or as a Big Data practice leader or business unit owner.
Oct 01, 2019
Full time
Amazon Melbourne VIC, Australia
BASIC QUALIFICATIONS · 5+ years of experience in the design and implementation of complex IT solutions (including scalable cloud-based solutions and microservices architectures) · Experience in infrastructure, database and networking architecture for highly available, Internet-scale applications · Working knowledge of software development tools and methodologies · Presentation skills with a high degree of comfort speaking with CTOs, Enterprise Architects, IT Management, and developers · Strong written communication skills · High level of comfort communicating effectively across internal and external organizations · Technical degree (Computer Science or Engineering) or equivalent experience · Demonstrated ability to adapt to new technologies and learn quickly PREFERRED QUALIFICATIONS · 5+ years experience in a customer-facing, the sales-aligned role such as consultant, solutions engineer or solutions architect · Professional experience architecting large scale solutions on AWS · A Masters Degree in computer science, MIS, engineering or equivalent technical degree · AWS Solution Architect Certificates; Associates, Developer, Professional. · Hands-on experience with Amazon Web Services
Oct 01, 2019