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Platform Engineer

Job in Dearborn, Wayne County, Michigan, 48120, USA
Listing for: Stefanini, Inc
Full Time position
Listed on 2026-03-13
Job specializations:
  • Software Development
    Cloud Engineer - Software, DevOps
Salary/Wage Range or Industry Benchmark: 64 - 69 USD Hourly USD 64.00 69.00 HOUR
Job Description & How to Apply Below

Job Details

Platform Engineer – Dearborn, MI (Onsite)

Posted: 3/11/2026

Job : 63136

Job Category: Information Technology

Position Type: Contract;
Duration: Long Term;
Remaining Positions: 1

Pay Range: $64.00 - $69.00 per hour

About the Role

Stefanini Group is hiring a Platform Engineer who builds shared services, APIs, and developer tooling to help engineering teams deliver value safely and quickly. The role leans toward software development (high-quality APIs, automation, and tools), with working knowledge of cloud, Dev Ops, and SRE practices.

For quick apply, please reach out to Adil Khan at 248‑728‑6424 or

Responsibilities
  • 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.
Requirements

Experience Required

  • At least 6+ years of experience in relevant field.
  • Strong software engineering experience delivering production services/APIs (design, implementation, testing, and operations).
  • Proficiency in at least one backend language (Java, Go, C#, Python, Type Script) 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.

Experience Preferred

  • Experience building and maintaining platform APIs with an internal 'product' mindset: usability, docs, support, adoption.
  • Experience with event‑driven and asynchronous patterns (queues, pub/sub), reliability, and idempotency.
  • Security experience: OAuth/OIDC concepts, least privilege, threat modeling, input validation.
  • Experience improving reliability using SLOs and reducing toil through automation.
  • Experience with Kubernetes and infrastructure as code in partnership with platform/SRE teams.
Required Skills
  • Python:
    Build and ship production‑grade services or internal tools (e.g., writing a CLI tool that scaffolds new microservices with standard configuration, logging, and health endpoints).
  • Go:
    Write idiomatic Go for high‑performance, reliable backend APIs or platform services (e.g., implementing a REST API with structured logging, metrics endpoints, and proper error modeling).
  • REST APIs:
    Design and deliver well‑structured REST APIs following lifecycle management best practices (e.g., designing a versioned internal API with consistent error modeling and clear documentation).
  • Cloud Infrastructure:
    Working knowledge of running services in a cloud environment (e.g., deploying a containerized service using CI/CD pipelines and configuring health checks).
  • Docker:
    Containerize services using Docker as part of a standard delivery workflow (e.g., writing a production‑ready Docker file for a backend API and integrating it into a CI pipeline).
Preferred Skills
  • GCP:
    Hands‑on experience deploying and operating services on Google Cloud Platform.
  • Kubernetes:
    Deploy and manage workloads in Kubernetes.
  • Agile Software Development:
    Work in short, iterative cycles with clear acceptance criteria and fast feedback.
  • Endpoint Security:
    Apply security best practices at the API and service level (e.g., implementing OAuth/OIDC‑based authentication and participating in threat modeling).
Education
  • Bachelor's Degree
Equal Opportunity

Stefanini is an equal opportunity employer and encourages applicants from diverse backgrounds.

About Stefanini Group

The Stefanini Group is a global provider of offshore, onshore, and nearshore outsourcing, IT consulting, systems integration, and staffing services.

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