_{11th March, 2026}

Platform Engineer #1051712
Job Description:
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.

 
What we're looking for
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.

 
Preferred:

• Experience building and maintaining platform APIs (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.

 
How we work

• Build small, ship often: incremental changes with clear acceptance criteria and fast feedback.
• Quality is non-negotiable: tests, clear design, observability, and secure defaults.
• Operate what we build: ownership includes production support, documentation, and continuous improvement.

 
What success looks like

• Platform APIs and tools are adopted because they are reliable, well-documented, and easy to integrate.
• Developers spend less time on undifferentiated work (setup, pipeline wiring, troubleshooting) and more time delivering features.
• Incidents decrease due to better operability, safer releases, and consistent engineering standards.

 
Skills Required:
Python, Go, REST APIs, Cloud Infrastructure, Docker

• Python A candidate is expected to use Python to build and ship production-grade services or internal tools - for example, writing a CLI tool that scaffolds new microservices with standard configuration, logging, and health endpoints baked in, including unit and integration tests.
• Go A candidate is expected to write idiomatic Go to build high-performance, reliable backend APIs or platform services - for example, implementing a REST API with structured logging, metrics endpoints, and proper error modeling that is deployed via CI/CD to a cloud environment.
• REST APIs A candidate is expected to design and deliver well-structured REST APIs following lifecycle management best practices - for example, designing a versioned internal API with consistent error modeling, pagination, backward-compatible changes, and clear documentation so consuming teams can integrate with minimal friction.
• Cloud Infrastructure A candidate is expected to have working knowledge of running services in a cloud environment - for example, deploying a containerized service using CI/CD pipelines, configuring health checks and structured logging, and understanding how the runtime environment (networking, secrets, config) affects their application.
• Docker A candidate is expected to containerize services using Docker as part of a standard delivery workflow - for example, writing a production-ready Dockerfile for a backend API, integrating it into a CI pipeline, and ensuring the container behaves consistently across dev and production environments.

 
Skills Preferred:
GCP, Kubernetes, Agile Software Development, Endpoint Security

• GCP A candidate is expected to have hands-on experience deploying and operating services on Google Cloud Platform - for example, using GCP-native services (e.g., Cloud Run, Pub/Sub, Secret Manager) to build a reliable, observable platform service with appropriate IAM and least-privilege access controls.
• Kubernetes: A candidate is expected to deploy and manage workloads in Kubernetes in partnership with platform and SRE teams - for example, authoring Kubernetes manifests or Helm charts for a service, configuring liveness/readiness probes, and troubleshooting pod-level issues using logs and metrics.
• Agile Software Development: A candidate is expected to work in short, iterative cycles with clear acceptance criteria and fast feedback - for example, breaking a platform API feature into small incremental pull requests, participating in code review, and shipping working software frequently rather than in large batches.
• Endpoint Security A candidate is expected to apply security best practices at the API and service level - for example, implementing OAuth/OIDC-based authentication on an API, enforcing least-privilege access, validating and sanitizing all inputs, and participating in threat modeling for a new service to identify and mitigate risks before release.

 
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

 
Additional Info:
 
At FastTek Global, Our Purpose is Our People and Our Planet. We come to work each day and are reminded we are helping people find their success stories. Also, Doing the right thing is our mantra.  We act responsibly, give back to the communities we serve and have a little fun along the way.
We have been doing this with pride, dedication and plain, old-fashioned hard work for 24 years!
FastTek Global is financially strong, privately held company that is 100% consultant and client focused.
We've differentiated ourselves by being fast, flexible, creative and honest. Throw out everything you've heard, seen, or felt about every other IT Consulting company. We do unique things and we do them for Fortune 10, Fortune 500, and technology start-up companies.
Our benefits are second to none and thanks to our flexible benefit options you can choose the benefits you need or want, options include:
 

• Medical and Dental (FastTek pays majority of the medical program)
• Vision
• Personal Time Off (PTO) Program
• Long Term Disability (100% paid)
• Life Insurance (100% paid)
• 401(k) with immediate vesting and 3% (of salary) dollar-for-dollar match

 
Plus, we have a lucrative employee referral program and an employee recognition culture.
FastTek Global was named one of the Top Work Places in Michigan by the Detroit Free Press in 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, and 2023!
To view all of our open positions go to: https://www.fasttek.com/fastswitch/findwork
Follow us on Twitter: https://twitter.com/fasttekglobal
Follow us on Instagram: https://www.instagram.com/fasttekglobal
Find us on LinkedIn: https://www.linkedin.com/company/fasttek
You can become a fan of FastTek on Facebook: https://www.facebook.com/fasttekglobal/
AI & Hiring Disclosure
We use AI tools to support parts of our hiring process, such as reviewing applications and identifying potential matches. These tools are designed to promote efficiency, consistency, and fairness, and they are always used under human oversight.
All personal data collected is used solely for recruitment purposes, and you have the right to know, access, or request deletion of your data at any time, subject to legal limits.
If AI will be used in a video interview, you'll be informed in advance and asked for your consent, with the option to opt out.
Our tools are regularly reviewed to detect potential bias and to ensure compliance with all applicable laws and our commitment to inclusive hiring.
To learn more or exercise your rights, please contact us at info@fasttek.com.
 
 
 

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