Platform Engineering Engineer 3

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