Software Dev Engineer III, AWS SageMaker Unified Studio

Amazon Development Center U.S., Inc.•4h ago

United StatesOnsite$168.1K–$227.4KFull-timeMid Level5+ yrs exp

H-1B verified · 2310 LCAs

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Software EngineerSoftware Engineer IiAws EngineerSenior Software Engineer

The Company: Amazon Web Services (AWS) is the pioneer and recognized leader in Cloud Computing. Our web services provide a platform for IT infrastructure in-the-cloud that is used by hundreds of thousands of developers and businesses around the world. These customers range from start-ups to leading web companies to Global 500 companies. The Group: SageMaker Unified Studio is an AI-assisted unified development environment, designed to provide an integrated experience for customers using AWS Analytics and ML services without regard for service boundaries. It targets Data Engineers, Data Scientists, SQL Analysts and IT Administrators with persona driven experiences Top reasons to join our team: - Be a catalyst to deliver a truly disruptive product - Solve unique and first-order problems in areas of Big Data, Spark, Distributed Systems, Serverless and Machine Learning - Influence and build a product that will leverage scale of resources to orchestrate data workflow - Be part of big data revolution in the cloud - Grow the leader in you to build a revolutionary product About you: - Passionate in building large scale distributed systems - Thrive in culture of ownership, delivery and bias for action - Fast paced environment energizes you to be at your best - Innovate and invent in an agile and collaborative environment - Curious and eager to learn to expect more of you and others Key job responsibilities
Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring innovative products and services to market.
Design and build innovative technologies in a large distributed computing environment and help lead fundamental changes in the industry.
Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed.
Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use.
Design and code the right solutions starting with broadly defined problems.
Work in an agile environment to deliver high-quality software. About the team SageMaker Unified Studio (SMUS) is a growing team excited to create a development experience for our Data Engineering and Data Analyst customers. We have a wide range of talented engineers on the team
many diverse tasks that we work on day to day. We move quick, are particularly collaborative
know how to have a good time while doing it. About AWS AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path
includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home
is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team
5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing
operations experience - Bachelor's degree in computer science or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability
other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications
location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off
parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, VA, Arlington - 168,100.00 - 227,400.00 USD annually

Required skills

PythonDistributed SystemsMachine LearningBig DataSpark