Amazon

Senior System Development Engineer, Open Data Analytics Fundamentals team

Bengaluru, India
C++ Java Go PowerShell Hadoop AWS C# Python Ruby Spark Machine Learning SQL
Description
- 4+ years of non-internship professional software development experience
- 5+ years of programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby experience
- 2+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- Experience with Linux/Unix
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
- Experience leading the design, automation, deployment, and support of large-scale infrastructure
- Experience with CI/CD pipelines build processes
- Experience in mentoring, leading, or managing more junior engineers
- Experience with Apache Hadoop ecosystem applications: Hadoop, Hive, Presto, Spark, and more

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.
AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.

Amazon Web Services Open Data Analytics (ODA) organization is looking for exceptional engineers to help in our mission to provide the world’s best cloud Big Data processing platform and services such as EMR and Athena.

Amazon Elastic MapReduce (EMR) is the industry-leading cloud big data platform for petabyte-scale data processing, interactive analytics, and machine learning using open-source frameworks such as Apache Spark, Trino, Hadoop, Hive, and HBase. Amazon Athena is a serverless query service that simplifies analyzing data directly in Amazon S3 using standard SQL.

The ODA Fundamentals team is responsible for integrating and packaging the latest features from the ODA organization and delivering robust, thoroughly tested analytics products to our customers. The team plays a pivotal role in shaping the strategic direction of ODA services and executing the product release process to meet business and customer needs.

As a SysDE III (Senior System Development Engineer), you will lead the EMR/Athena release processes to improve efficiency, security, stability, and coverage. You will guide the entire lifecycle of releases, from creation to deployment, either by utilizing existing internal tools or by innovating and creating new ones. You will oversee the infrastructure of our internal testing and simulation environments, consisting of both synthetic and user-generated test benches. You will work closely with multiple DevOps teams to drive the SDLC from concept to launch and ensuring the highest level of for your deliverables





Key job responsibilities
• Analyze and improve availability, efficiency, capacity, scalability, security and performance of our services.
• Build, maintain and continuously improve infrastructure for a multi-site development team, including source code repository, build, integration, release tools and scripts, continuous integration infrastructure, packaging, and deployment tools.
• Develop processes and tools to maintain code base integrity, including check-in validation rules and branch/merge processes.
• Investigate and recommend best practices for maintaining code quality, including the development of code metrics, code review workflows, test coverage measurement, and the use of static and dynamic analysis tools.
• Influence and drive operational excellence best practices within the organization.
• Mentor and support the career growth of fellow engineers within the team.


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
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 (gender diversity) 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, 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 in the cloud
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