Senior Engineer, Platform Architecture

Auto Hauler Exchange - Rochester, MI

Hiring: Senior Engineer, Platform Architecture Company: Auto Hauler Exchange Location: Rochester, MI Job Posted Time: 2026-09-10 12:47:29 Employment Type: Full-time / Hybrid Target Skills & Keywords : AWS, Azure, BigQuery, Event-Driven, GCP, GraphQL, IAM, Infrastructure as Code, Kubernetes, LLM, Meilisearch, MySQL, Next.js, Node.js, PostgreSQL, Pub/Sub, TypeScript, dbt About the job Experience: •10 years of experience in a software engineering role, several of them at a staff, principal, or architect level. Required Skills: •Own the architecture across our services, and decide where new capability belongs. •Set the standards for GraphQL federation, service layering, contract versioning, and data ownership, then write them down so they hold. •Turn product initiatives into technical designs the team can build from, with contracts and acceptance criteria attached. •Write and review production code in TypeScript and Go every week. •Build the first working version of a new pattern so everyone else has something to copy. •Run point on the hard defects. Find the actual root cause, not the nearest one. •Partner with Product and engineering leadership on the architecture of our AI product capabilities: document intake and extraction, natural-language access to operational data, and MCP servers for internal and partner tooling. •Push AI further into how we deliver, with coding standards checked into the repo, automated documentation, API contract testing, and advisory code review. A human still approves anything that merges or deploys. Qualifications: •A minimum of 10 years of experience in a software engineering role, several of them at a staff, principal, or architect level. •You still write code, and you want to keep writing it. •Deep TypeScript and Node.js, plus production Go, or another systems language and the appetite to pick up Go. •Real GraphQL depth: schema design, contract evolution, and what breaks when you get it wrong. •You've led a service decomposition in production and can talk about the parts that went sideways. •Cloud platforms (GCP, AWS, or Azure), Kubernetes, and infrastructure as code. •Event-driven systems done properly: durable messaging, transactional outbox, idempotent consumers, distributed tracing. •You write clearly. Architecture decision records and design docs are part of the job here, not homework. •Operational familiarity with AI tools such as ChatGPT, Claude, Cursor, Copilot, or similar platforms, and the judgment to know when a deterministic script is the better answer. •Hands-on experience standing up BigQuery as an analytics platform: dataset and table design, partitioning and clustering, streaming and batch ingestion, and query cost controls. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!