Platform Engineering Engineer 3

Job Description
Platform Engineering Engineer 3

Location: Dearborn, MI

Job type: Resources will be in office 4 days a week in Dearborn, MI

Full time - Direct hire

Overview:
•Platform Engineering builds shared services, APIs, and developer tooling that help engineering teams deliver value safely and quickly.
•This role leans toward software development (high-quality APIs, automation, and tools), with working knowledge of cloud, DevOps, and SRE practices.

What you'll do
•Design and build internal and customer-facing APIs and services that are secure, reliable, and well-documented.
•Create developer tools and platform services that improve developer experience (DX): templates, CLIs, libraries, service scaffolding, automation.
•Apply engineering best practices: test-driven development, code review, CI, and safe deployment patterns.
•Engineer for operability: structured logging, metrics/tracing, health endpoints, and actionable alerts.
•Collaborate with platform and product teams to standardize patterns (authn/authz, secrets, configuration, resilience, versioning).
•Participate in incident response and reliability improvements; help teams reduce defects and operational risk.

Required:
•Strong software engineering experience delivering production services/APIs (design, implementation, testing, and operations).
•Proficiency in at least one backend language (e.g., Java, Go, C#, Python, TypeScript) and modern API practices.
•Experience with API design and lifecycle management (versioning, backward compatibility, pagination, error modeling).
•Strong testing discipline (unit/component/integration tests) and comfort refactoring safely.
•Working knowledge of cloud-native delivery: containers, CI/CD, and operating services in a cloud environment.
•Ability to debug across layers (application, runtime, platform) using logs/metrics/traces.

Skills Required:
•Python - The candidate can write production-grade Python to automate platform workflows and build internal tooling - not just write scripts, but ship tested, documented code.
•Go - The candidate can write performant, concurrent Go programs for platform services - CLIs, API handlers, K8s operators, or automation tooling.
•Docker - The candidate can author production-quality container images and understand the container lifecycle - not just `docker run hello-world'.
•Kubernetes - The candidate can deploy, troubleshoot, and operate workloads on Kubernetes - and understand the platform layer (not just `kubectl apply`).
•REST APIs - The candidate can design, implement, and version production APIs with proper error modeling, pagination, and backward compatibility - and treat them as products with users.
•Linux - The candidate can operate, debug, and troubleshoot Linux systems at a level that supports production platform work - networking, process management, permissions, and performance.
•GCP - The candidate can provision, operate, and troubleshoot GCP services that power a cloud-native platform - not just point-and-click console work.

Skills Preferred:
•Tekton - The candidate can design and maintain CI/CD pipelines as code using Tekton - understanding tasks, pipeline definitions, triggers, and how they fit into a GitOps workflow.
•React - The candidate can build internal developer-facing UIs - dashboards, tooling interfaces, or self-service portals - using React. This is not a frontend-first role, but the ability to build usable internal tools is valued.

Experience Required:
•Engineer Exp: Prac. In 2 coding lang. or adv. Prac. in 1 lang.
•6+ years in IT
•4+ years in development

Education Required:
•Bachelor's Degree