Senior Storage Systems Engineer, NoSQL Data Plane

Amazon

Seattle (WA)

On-site

USD 168,000 - 227,000

Full time

14 days+
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Job summary

Amazon's DynamoDB team in Seattle is seeking a senior software development engineer with a deep passion for storage and persistence. You will design and build high-performance, low-latency systems that scale, and contribute to the durability and availability of customer data at planetary scale.

You will lead technical designs, mentor engineers through reviews, and expand data-modeling capabilities while improving throughput and tail latency.

Qualifications

  • 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.

Responsibilities

  • Design and build high-performance, low-latency systems that operate reliably at massive scale.
  • Optimize the read and write paths to improve throughput and tail latency while maintaining strict performance guarantees.
  • Expand query and data‑modeling capabilities that make the database more flexible and easier for customers to use.
  • Improve fleet efficiency and capacity utilization through smarter resource management.
  • Build automation and tooling that increase operational excellence and prevent customer‑impacting issues before they occur.
  • Lead technical designs, drive cross‑team initiatives, and mentor engineers through design and code reviews.

Skills

Software development
Programming
Leadership
Mentorship

Education

Bachelor's degree in computer science or equivalent

Job description

Amazon's DynamoDB team in Seattle is seeking a senior software development engineer with a deep passion for storage and persistence. You will design and build high-performance, low-latency systems that scale, and contribute to the durability and availability of customer data at planetary scale.

You will lead technical designs, mentor engineers through reviews, and expand data-modeling capabilities while improving throughput and tail latency.

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