Principal Engineer

A2Z SyncDenver, CO

About The Position

We operate a multi-tenant automotive SaaS platform serving thousands of dealer groups across the United States. Our backend — event-driven serverless on AWS (Lambda, EventBridge, DynamoDB, S3, Step Functions) — orchestrates everything from dealer onboarding to inventory management to real-time transaction processing. That platform works. Now we need to make it think. We are building agentic AI systems: autonomous, tool-using agents that observe platform state, reason over dealer context, take action through production APIs, and learn from outcomes. These are not chatbots bolted onto a dashboard. They are first-class platform services — backed by AWS Bedrock, connected to production systems via MCP servers — that make decisions, execute workflows, and close loops without human intervention unless guardrails say otherwise. This Principal Engineer owns that entire surface. You are not advising on AI strategy from a whiteboard. You are writing agent code, defining tool interfaces, building evaluation harnesses, setting cost and latency budgets, and shipping production AI workflows that touch real dealers and real money. You set the engineering patterns the team follows, you help make the build-vs-buy calls, and when an agent misbehaves at 2 AM, your architecture is what determines whether it fails safe or fails loud.

Requirements

  • 8+ years of software engineering experience with at least 3 years in a Staff / Principal / Architect role.
  • Build Cloud native solutions with emphasis on speed to market.
  • Deep hands-on experience (About 40-50% in the code, 40-50% in Design) with AWS serverless (Lambda, EventBridge, DynamoDB, StepFunctions) and traditional service architectures (ECS, RDS, API Gateway).
  • Experience spending 10-20% of your time in mentoring, cross-team alignment and operating mechanisms.
  • Track record of leading monolith-to-services migrations — strangler fig, dual-write validation, traffic-splitting, canary rollouts.
  • Fluency across multiple languages: you can review PHP, architect & prototype Python, architect Java services, and reason about TypeScript frontends.
  • Experience with event-driven architectures, configuration-driven workflow engines, and DynamoDB single-table design.
  • Strong opinions on observability and the discipline to instrument before you migrate.
  • The ability to write a design doc that a senior IC can implement without ambiguity, and the judgment to know when to write code yourself instead.

Nice To Haves

  • Automotive, fintech, or multi-tenant marketplace platform experience.
  • Experience with data pipelines (NiFi, Glue/Athena) or ETL/data lake tooling.
  • Familiarity with Auth0 Organization model, M2M apps, and Actions for JWT enrichment.
  • Experience with browser automation (Playwright) in production integration flows.

Responsibilities

  • Ownership and core development of agentic AI systems — designing, building, and operating the AI agent infrastructure (AWS Bedrock, MCP servers) that powers intelligent automation across the platform. You are not advising on AI strategy; you are writing the agent code, defining the tool interfaces, building the evaluation harnesses, and shipping production AI workflows.
  • AI agent lifecycle end to end — from prompt engineering and tool-use design through guardrails, evaluation, cost optimization, and production observability. You own the patterns the team uses to build with AI: how agents connect to production systems, how we evaluate output quality, how we manage model costs at scale, and how we roll back when an agent misbehaves.
  • System design and technical decision-making for migration waves — from identity/tenant services through core domain extraction and frontend decomposition.
  • The dual-write framework, API Gateway traffic-splitting, and per-tenant feature flag rollout that make every migration step reversible.
  • Cross-cutting concerns: observability (OpenTelemetry, CloudWatch), security posture (Auth0 consolidation, IAM), and data architecture (DynamoDB single-table design, Aurora consolidation).
  • Mentoring and force-multiplying senior ICs — establishing patterns, reviewing designs, and raising the technical bar across 5 engineering teams.
  • Consolidate and strategize 30+ different integrations and make the future integrations easier.

Benefits

  • Comprehensive medical, dental, and vision benefits.
  • Employer provided STD/LTD and life insurance.
  • Matching 401k plan.
  • Unlimited paid time off, including 10 paid holidays.
  • Real ownership of a high-stakes AI surface — your roadmap, your architecture decisions, your metrics.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service