Drimva

Amazon

Software Development Engineer, Ads Campaign Management

$158K–$214K

New York, NY · Full-time · Posted Oct 26, 2026

Experience
3+ years of professional software development; 2+ years of system design or architecture; 1+ year of software development engineer or related occupational experience; and 1+ year of large-scale software development using a listed language and 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 scalable advertising campaign systems and AI-agent infrastructure that provide advertisers with fast, reliable access to campaign data and strategic advice.

What you'll do

  • Design and implement scalable APIs serving millions of advertisers at thousands of transactions per second.
  • Build Model Context Protocol (MCP) server infrastructure to deliver advertiser context with sub-second latency and minimal token consumption.
  • Establish system design patterns and best practices for global advertising experiences at scale.

What they ask for

  • 3+ years of non-internship professional software development experience.
  • 2+ years of non-internship experience designing or architecting systems, including design patterns, reliability, and scaling.
  • At least 1 year of experience developing large-scale software using C#, C++, Java, or Perl, and at least 1 year 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.
  • Bachelor's degree in computer science or equivalent.

Pay

USD 158,100.00 - 213,800.00 annually (base salary)

Tools

C#, C++, Java, Perl, ECS, Fargate, EC2, EMR

AI focus

Develop generative AI and agentic systems for advertiser advice, including MCP infrastructure, agent orchestration, context optimization, and feedback loops for evaluating and improving solutions.

Model-written summary · the original posting is authoritative

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