A

Amperity

SaaS CDP unifying customer data profiles

Lead Software Development Engineer - Infrastructure

Platform EngineeringConfirmed live in the last 24 hours
Full-timeSeattle, WA, USA

About the Job

Requirements

  • Deep technical leadership experience owning architectural strategy for high-scale, distributed systems and making consequential architectural decisions.
  • Expertise in large-scale data processing with Spark or a similar distributed framework, including the ability to explain architectural choices.
  • Fluency with AI-assisted and agentic workflows, including building, debugging, and operating systems with large language models and agent tooling.
  • Ability to learn new technology stacks quickly and apply architectural principles to new languages; prior Clojure experience is not required.
  • Demonstrated mentorship of senior engineers and development of technical practices that last beyond individual projects.
  • Ability to translate technical trade-offs into business and long-term platform outcomes while working across partners.
  • Ability to turn strategic uncertainty, competing priorities, and unclear problems into concrete, executable engineering plans.

Responsibilities

  • Lead the full architectural health of the BASS platform and connect technical decisions to multi-year horizons and organizational strategy.
  • Define technical standards for developer productivity and automation, setting expectations for scalability and simplicity across the organization.
  • Raise team execution standards through sponsorship and feedback, shifting focus from personal execution to team outcomes.
  • Identify team-level ambiguity and turn company-level strategic uncertainty into executable engineering plans.
  • Act as the strategic anchor for complex operational challenges and drive architectural improvements that reduce systemic platform risk.
  • Define the team-wide philosophy for AI-driven changes to engineering and platform practices.
  • Define and execute a two- to three-year AI strategy for internal platforms, anticipating how AI and agentic workflows affect build, automation, Spark, and services.
  • Architect agentic DevOps and CI/CD systems that enable AI agents to identify build failures, resolve dependency conflicts, and improve pipelines.
  • Implement predictive models for Spark cluster resource needs to prevent out-of-memory errors.
  • Embed data privacy and personally identifiable information protection as default constraints in AI-assisted systems.
  • Implement intelligent automation for service discovery and log analysis, enabling engineers to use natural language or autonomous agents with BASS infrastructure.
  • Establish technical excellence standards, mentor senior engineers, and convert strategic ambiguity into actionable engineering plans.

About the Company

Amperity

SaaS CDP unifying customer data profiles

Amperity runs a subscription-based customer data platform that turns scattered customer data into unified, accurate profiles using patented identity resolution. The platform ingests data from many sources, cleans and reconciles it, and provides tools for data integration, identity resolution, and customer analytics. These profiles power more effective marketing campaigns, better customer service, and deeper business insights. The company also offers professional services to help with implementation and optimization. Amperity differentiates itself through its patented identity resolution technology and proven ROI, serving global retail and hospitality brands with a SaaS model that emphasizes measurable returns. The goal is to help organizations turn raw data into actionable customer insights that improve marketing effectiveness, customer experiences, and overall business performance.

Company size
201-500
Company stage
Series D
Total funding
$187M
Headquarters
Seattle, WA
Founded
2016

Recently Posted Jobs

Explore more opportunities at Amperity

See more jobs