Software Dev Engineer III, Redshift

About the role

ABOUT AWS: Diverse Experiences Amazon 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. 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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. 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 and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship and 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.

Requirements

• 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, and 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, or other legally protected status.
• Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to stan

Additional Information

Are you interested in building next-generation hyper-scale distributed systems in the cloud? Amazon Redshift is a rapidly growing, fast, and fully managed petabyte-scale data warehouse service in the cloud. Tens of thousands of customers rely on Redshift to analyze exabytes of data every day to power their most critical analytics workloads. Join the Amazon Redshift Data Foundation team to solve some of the most challenging problems in petabyte-scale distributed data systems. Our team owns the critical foundation that underpins Redshift's storage, metadata, durability, and reliability guarantees - the cornerstone on which every query, every table, and every customer workload depends. You will dive deep into complex interactions within the Redshift engine, tackling large-scale, high-complexity problems that span data storage architecture, durability mechanisms, and performance optimization at massive scale. We're looking for an engineer with a strong understanding of distributed systems, storage internals, and the curiosity to ask the right questions as we build a best-in-class cloud analytics database engine. You will design and deliver features that keep Redshift at the forefront of cloud analytics - ensuring data is always safe, always accessible, and always fast. ** Databases, and Distributed Systems experience is mandatory; Storage and C++ experience is a plus. Key job responsibilities Innovate system architectures that address scalability, reliability, and performance for large-scale distributed systems Design and develop core storage, metadata, and catalog subsystems that operate reliably at petabyte scale Solve large-scale, high-complexity problems spanning data durability, availability, consistency, and performance Debug deep, cross-cutting issues that require understanding the full stack - from query planning to distributed storage to on-disk data formats Drive performance improvements in storage I/O paths, metadata access patterns, in-memory caching, and catalog operations Improve reliability and durability guarantees through resilient system design, automated recovery, and defensive engineering Mentor and grow junior engineers through design reviews, code reviews, and technical guidance Raise the bar on operational excellence by building deep observability, reducing operational toil, and strengthening the team's ability to resolve complex customer-impacting issues

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