Platform Engineering Engineer 3
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Full time | IPS Technology Services | United States Posted On 06/10/2026 Job Description 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: Pract. In 2 coding languages or advanced practice in 1 language. #J-18808-Ljbffr