Software Development Engineer , AWS SMGS Ops DP&I - Atlas at Amazon SZ South 3 GmbH

Seattle, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

17 May, 26

Salary

194400.0

Posted On

16 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Distributed Systems, Big Data, Web Application Development, Data Ingestion, Microservices, Container Architectures, Serverless, AWS Lambda, AWS CDK, Object-Oriented Design, Scrum, System Architecture, Data Validation, Security, Testing

Industry

Software Development

Description

Join us in building on AWS, for AWS! Amazon Web Services has been the global leader in cloud computing since 2006, providing a robust platform that powers hundreds of thousands of businesses in over 190 countries. Developers all over the world rely on our storage, compute, and virtualized services. The Sales,Marketing and Global Services Operations - Atlas team’s success depends on delivering trusted, extensible, and high-quality intelligence that empowers our go-to-market (GTM) teams and enhances customer engagement at scale. The Atlas team builds and operates the foundational customer intelligence that powers AWS Sales field. Atlas integrates external firmographic data with internal AWS datasets to create a unified, scalable view of customers and accounts. This intelligence layer is critical to enabling the Field organization with accurate insights , improved account targeting and better customer engagement at scale. We’re looking for a Software Development Engineer to design and deliver solutions that combine machine learning, distributed big data technologies, and web application/service development. We're building solutions to achieve amazing feats with data, to enable us to arm our field teams with the actionable intelligence needed to engage and serve every possible AWS customer in the world, to the fullest. Key job responsibilities * Design, develop, and maintain scalable data ingestion solutions to solve complex and ambiguous data challenges for large-scale datasets * Build highly available, secure, distributed systems in microservices, container, and distributed cluster-compute architectures with comprehensive data validation frameworks * Develop serverless applications using AWS Lambda, S3, CloudWatch, and Glue services while implementing infrastructure as code through AWS CDK for automated deployment and monitoring * Apply Machine Learning to solve challenging data problems at scale * Work with AWS technologies such as Glue, EMR, S3, DynamoDB, Redshift, ElasticSearch, Lambda, SQS, SNS, API Gateway and more * Apply software development best practices in terms of quality and security * Utilize object-oriented software design to build scalable, maintainable systems * Contribute to planning, design, implementation, testing, operations, and process improvement as a member of a Scrum team * Play an instrumental role in defining system architecture, own and implement specific components, and help shape the overall user experience for a data-focused product About the team Diverse Experiences 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, or 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 AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. 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, which 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. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of programming with at least one software programming language experience - 1+ years of machine learning, statistical modeling, data mining, and analytics techniques experience - Bachelor's degree in computer science or equivalent Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or 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 [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, and 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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits [https://amazon.jobs/en/benefits]. USA, TX, Dallas - 143,700.00 - 194,400.00 USD annually USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually

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Responsibilities

The role involves designing, developing, and maintaining scalable data ingestion solutions to handle complex, large-scale datasets and building highly available, secure, distributed systems using modern architectures. Responsibilities also include applying Machine Learning to solve challenging data problems and developing serverless applications using various AWS services.