Drimva

Amazon

Software Dev Engineer II, SIFT

$144K–$194K

Boston, MA · Full-time · Posted Oct 26, 2026

Experience
3+ years professional software development; 2+ years systems design or architecture; 1+ years large-scale software development using one of C#, C++, Java, or Perl; 1+ years Object Oriented Design. Preferred: 3+ years full software development life cycle.
Education
Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field.

About the job

Build, scale, and operate a full-stack AI product that turns field input into structured insights and reports for AWS sales teams.

What you'll do

  • Own features end to end, from user interface and backend design through production operations.
  • Improve AI-generated summaries, tags, and structured records, and build natural-language experiences grounded in users’ authorized data.
  • Scale services and MCP integrations; write design documents, review code, debug production issues, and mentor engineers.

What they ask for

  • 3+ years of non-internship professional software development experience.
  • 2+ years of non-internship design or architecture experience with new and existing systems, including design patterns, reliability, and scaling.
  • 1+ years designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services 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; knowledge of Python and/or C++ programming.

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.
  • Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques.

Pay

143,700.00 - 194,400.00 USD annually (base salary)

Tools

Model Context Protocol (MCP), Amazon Bedrock, C#, C++, Java, Perl, Python, LLM

AI focus

Apply generative AI and LLMs to summarize and tag field input, improve output quality, identify trends, and power natural-language queries and MCP-enabled assistant workflows.

Model-written summary · the original posting is authoritative

First seen Oct 27, 2026 · Last verified Nov 4, 2026 (UTC)