Amazon
Software Development Engineer, AWS OpenSearch Service
$144K–$194K
Austin, TX · Full-time · Posted Aug 31, 2026
- Experience
- 3+ years professional software development; 2+ years design or architecture; 1+ years software development engineer or related occupational experience; 1+ years designing and developing large-scale software. All specified as non-internship where stated.
- Education
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field.
About the job
Develop and operate components of the AWS OpenSearch Service control plane, which manages distributed OpenSearch clusters and collections at scale.
What you'll do
- Design, build, and operate distributed control-plane components, accounting for failure modes, multi-tenant isolation, and blast radius.
- Develop solutions for cluster orchestration, capacity provisioning, lifecycle workflows, query routing, and operational tooling; participate in incident response and root-cause analyses.
- Use AI coding assistants and GenAI tools across the software development lifecycle, validating generated output for correctness, security, and operational quality.
What they ask for
- 3+ years of non-internship professional software development experience.
- 2+ years of non-internship design or architecture experience involving design patterns, reliability, and scaling.
- 1+ years of experience designing and developing large-scale software applications, tools, systems, or services using C#, C++, Java, or Perl.
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field; experience programming with at least one software programming language.
Nice to have
- 3+ years of full software development life cycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations.
- Bachelor's degree in computer science or equivalent.
Pay
143,700.00 - 194,400.00 USD annually (base salary)
Tools
Java, Rust, Python, Go, C#, C++, Perl, Apache Lucene
AI focus
Use AI coding assistants and GenAI tools for design, prototyping, coding, testing, code review, debugging, and operations; validate their output against correctness, security, and operational standards.
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