Lead Software Development Engineer

Amperity Amperity · Seattle · Seattle, WA · Engineering

Lead Software Development Engineer at Amperity, an AI-first company focused on customer data platforms. The role involves evolving a large, mature platform, unifying batch and real-time processing, managing technical debt, and integrating AI tooling to improve team velocity and customer experience. Requires strong experience in large-scale distributed systems and a pragmatic approach to applying AI.

What you'd actually do

  1. You will lead the effort to unify batch and real-time event processing across core platform services.
  2. You will manage a large, mature codebase and develop a clear strategy for which technical debt to carry, which to pay down, and which to eliminate.
  3. Translate customer requirements into well-scoped, high-value engineering work, knowing when to apply solutions and when the problem is unique enough to warrant deeper investment.
  4. Building seamless integrations with the data platforms and cloud infrastructure our customers already operate in.
  5. Raising the team's AI velocity requires establishing clear norms. These norms define where AI tooling accelerates delivery, where it misleads, and how to how to validate what it produces. By doing so, every engineer works faster and more effortlessly with it.

Skills

Required

  • 9+ years building and evolving complex, high-scale software systems
  • Experience leading platform migrations or major architectural transitions
  • Technical depth in distributed systems, data-intensive architectures, or cloud-native infrastructure
  • Fluent in the capabilities of AI tooling
  • Customer-first thinking
  • Partner to Product in roadmap planning

Nice to have

  • streaming experience

What the JD emphasized

  • 9+ years building and evolving complex, high-scale software systems.
  • Experience leading platform migrations or major architectural transitions (streaming experience a strong plus).
  • Fluent in the capabilities of AI tooling, while balancing its limitations.
  • A track record of fast value delivery: shipping high-quality work, iterating based on evidence, and making confident decisions through ambiguity.
  • Comfortable inheriting large, imperfect codebases.

Other signals

  • AI-first company
  • AI-powered Customer Data Cloud
  • AI is at the core of our platform
  • AI tooling to remove barriers
  • Raising the team's AI velocity
  • Machine learning models and systems