Drimva

Amazon

Software Development Engineer, AWS DMS

$144K–$194K

Seattle, WA · Full-time · Posted Aug 31, 2026

Experience
3+ years non-internship professional software development; 2+ years non-internship design or architecture; 1+ years software development engineer or related occupational experience; 1+ years developing large-scale applications using C#, C++, Java, or Perl; 1+ years Object Oriented Design.
Education
Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field.

About the job

Build and operate the AWS DMS control plane and fleet systems that provision, deploy, secure, monitor, and maintain database migration infrastructure worldwide.

What you'll do

  • Design and ship control-plane features for replication-instance lifecycle management, task orchestration, host management, and APIs.
  • Own deployment systems, patching, and safe fleet rollouts; improve security, compliance, monitoring, and incident recovery.
  • Participate in code reviews, design and release discussions, and an on-call rotation.

What they ask for

  • 3+ years of non-internship professional software development experience.
  • 2+ years of non-internship design or architecture experience with design patterns, reliability, and scaling.
  • 1+ years designing and developing large-scale software using C#, C++, Java, or Perl; 1+ years of Object Oriented Design experience.
  • 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

C#, C++, Java, Perl, AWS DMS, Amazon Aurora, Amazon RDS, PostgreSQL

AI focus

Use and improve AI-powered engineering tools for defect detection, code review, and incident resolution; the team also uses AI for autonomous bug-fixing and an on-call agent.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 4, 2026 (UTC)