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Observability Engineer Jobs in Michigan (NOW HIRING)

FastTek

Platform Engineer

Dearborn, MI · On-site

As a Software Engineer on our Platform Observability team, you will be at the heart of our engineering ecosystem. * You won't just be monitoring systems; you will be designing and building the next ...

TEKsystems c/o Allegis Group

AI/ML Engineer

Dearborn, MI · On-site

$50 - $75/hr

Top Skills' Details 4+ years experience as AI/ML Engineer Ability to design, build and deploy ... Implement practical security, observability, monitoring, and deployment practices for production AI ...

New

Stellantis

Full Stack Engineer

Auburn Hills, MI · On-site

Implement monitoring, observability, and application health dashboards using Grafana and cloud ... Work closely with DevOps, data engineering, QA, and business stakeholders to ensure smooth delivery ...

FastTek

Software Engineer

Dearborn, MI · On-site

As a Software Engineer on our Platform Observability team, you will be at the heart of our engineering ecosystem. * You won't just be monitoring systems; you will be designing and building the next ...

TEKsystems

AI/ML Engineer

Dearborn, MI · On-site +1

$50 - $75/hr

Top Skills' Details 4+ years experience as AI/ML Engineer Ability to design, build and deploy ... Implement practical security, observability, monitoring, and deployment practices for production AI ...

General Motors

Senior Security Software Engineer

Warren, MI · On-site

$115K - $151K/yr

Define and implement observability for services, including metrics, logs, traces, dashboards, and ... Use modern engineering tools for development, testing, troubleshooting, and event streaming.

THOMSON REUTERS

Senior Platform Engineer

Ann Arbor, MI

$102K - $140K/yr

Build and maintain observability into our services - metrics, logging, and tracing - that gives the ... Mentor junior and mid-level engineers, sharing knowledge and supporting their technical growth.

Stellantis

AI Engineer - Supply Chain

Auburn Hills, MI · On-site

Ensure compliance, observability, and governance for agentic systems Basic Qualifications: * Bachelor's or Master's degree in computer science, data science, engineering, or a related field * 8+ ...

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All JobsObservability Engineer JobsObservability Engineer Jobs in Michigan

Observability Engineer information

See Michigan salary details

$19

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How much do observability engineer jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for observability engineer in Michigan is $56.79, according to ZipRecruiter salary data. Most workers in this role earn between $47.29 and $65.23 per hour, depending on experience, location, and employer.

What does an observability engineer do?

An Observability Engineer is responsible for designing, implementing, and maintaining monitoring, logging, and tracing systems to ensure the health, performance, and reliability of applications and infrastructure. They work with tools like Prometheus, Grafana, OpenTelemetry, and ELK to collect and analyze telemetry data. Their goal is to provide visibility into system behavior, detect and diagnose issues quickly, and improve overall system observability. They collaborate with developers, SREs, and operational teams to create automated and scalable observability solutions.

What are the key skills and qualifications needed to thrive as an observability engineer?

To thrive as an Observability Engineer, you need a solid understanding of monitoring, logging, and tracing systems, as well as expertise in programming, cloud infrastructure, and incident response. Proficiency in tools like Prometheus, Grafana, ELK stack, and familiarity with cloud platforms such as AWS, Azure, or GCP are commonly required, and certifications like AWS Certified DevOps Engineer can be advantageous. Strong analytical thinking, collaborative skills, and effective communication are essential soft skills for diagnosing issues and working across development and operations teams. These competencies are vital for proactively maintaining system reliability, ensuring performance, and resolving complications before they impact business operations.

How much do observability engineers make?

Observability engineers typically earn between $90,000 and $150,000 annually, depending on experience, location, and company size. Senior roles or those with expertise in tools like Prometheus, Grafana, or cloud platforms may command higher salaries.

What are the most commonly searched types of Observability Engineer jobs in Michigan?

The most popular types of Observability Engineer jobs in Michigan are:

What are popular job titles related to Observability Engineer jobs in Michigan?

For Observability Engineer jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Observability Engineer jobs in Michigan look for?

The top searched job categories for Observability Engineer jobs in Michigan are:

Observability Engineer jobs near you
Infographic showing various Observability Engineer job openings in Michigan as of August 2026, with employment types broken down into 87% Full Time, 6% Part Time, 2% Temporary, 4% Contract, and 1% Nights. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $118,132 per year, or $56.8 per hour.

Platform Engineer

FastTek

Dearborn, MI • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago

Job description

Platform Engineer #1058624
Job Description:
  • We are seeking a highly motivated full stack developer to join our Observability team. As a Software Engineer on our Platform Observability team, you will be at the heart of our engineering ecosystem.
  • You won't just be monitoring systems; you will be designing and building the next generation of self-service observability infrastructure that provides deep, real-time insights into our data platform.
  • In this role, you will champion the adoption of modern telemetry standards, build robust data pipelines to handle metrics, logs, and traces daily, and create intuitive tooling that helps our engineering organization detect, diagnose, and resolve complex system issues before they impact our users.
  • If you love solving distributed systems problems on a scale and have a passion for developer experience, this is the perfect place for you.
  • A platform software Engineer is a versatile developer with expertise in Java or Python and a strong foundation in cloud platforms to build and manage applications at scale.
  • Generally, platform engineers fall into two categories: backend engineers, who design and implement microservices with robust APIs, and full-stack engineers, who deliver native UI/UX solutions, and ability to develop frameworks and service to enable an enterprise data platform.
  • With a solid understanding of the SDLC and hands-on experience in Git and CI/CD, platform engineers can independently design, code, test, and release features to production efficiently.

Skills Required:
  • GCP
  • Angular
  • Java
  • Python
  • Big Query
  • Big Data

Skills Preferred:
  • Design and Build Data Pipelines: Architect, develop, and maintain scalable data pipelines and microservices that support real-time and batch processing on GCP.
  • Service-Oriented Architecture (SOA) and Microservices: Design and implement SOA and microservices-based architectures to ensure modular, flexible, and maintainable data solutions.
  • Full-Stack Integration: Leverage your full-stack expertise to contribute to the seamless integration of front-end and back-end components, ensuring robust data access and UI-driven data exploration.
  • Data Ingestion and Integration: Lead the ingestion and integration of data from various sources into the data platform, ensuring data is standardized and optimized for analytics.
  • GCP Data Solutions: Utilize GCP services (BigQuery, Dataflow, Pub/Sub, Cloud Functions, etc.) to build and manage data platforms that meet business needs.
  • Data Governance and Security: Implement and manage data governance, access controls, and security best practices while leveraging GCP's native row- and column-level security features.
  • Performance Optimization: Continuously monitor and improve the performance, scalability, and efficiency of data pipelines and storage solutions.
  • Collaboration and Best Practices: Work closely with data architects, software engineers, and cross-functional teams to define best practices, design patterns, and frameworks for cloud data engineering.
  • Automation and Reliability: Automate data platform processes to enhance reliability, reduce manual intervention, and improve operational efficiency.

Experience Required:
  • Minimum 5 years of experience as a Software Engineer
  • Technical Skills: Proficient in Java, angular or any javascript technology with experience in designing and deploying cloud-based data pipelines and microservices using GCP tools like BigQuery, Dataflow, and Dataproc.
  • Ability to leverage best in-class data platform technologies to deliver platform features, and design & orchestrate platform services to deliver data platform capabilities.
  • Service-Oriented Architecture and Microservices: Strong understanding of SOA, microservices, and their application within a cloud data platform context. Develop robust, scalable services using Java Spring Boot, Python, Angular, and GCP technologies.
  • Full-Stack Development: Knowledge of front-end and back-end technologies, enabling collaboration on data access and visualization layers (e.g., React, Node.js).
  • Design and develop RESTful APIs for seamless integration across platform services.
  • Implement robust unit and functional tests to maintain high standards of test coverage and quality.
  • Database Management: Experience with relational (e.g., PostgreSQL, MySQL) and NoSQL databases, as well as columnar databases like BigQuery.
  • Must possess excellent SQL skills, including query optimization and data manipulation.
  • Data Governance and Security: Understanding of data governance frameworks and implementing RBAC, encryption, and data masking in cloud environments.
  • CI/CD and Automation: Familiarity with CI/CD pipelines, Infrastructure as Code (IaC) tools like Terraform, and automation frameworks.
  • Manage code changes with GitHub and troubleshoot and resolve application defects efficiently.
  • Ensure adherence to SDLC best practices, independently managing feature design, coding, testing, and production releases.
  • Problem-Solving: Strong analytical skills with the ability to troubleshoot complex data platform and microservices issues.
  • Certifications (Preferred): GCP Data Engineer, GCP Professional Cloud

Experience Preferred:
  • GCP experience preferred

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.