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Observability Engineer Jobs in Michigan (NOW HIRING)

Merican

AI Native Software Engineer

Detroit, MI

AI Native Software Engineer Seeking a hands-on AI Native Software Engineer to design, build, and ... Implement observability and monitoring for agent lifecycle AI Platform Integration * Integrate with ...

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.

Airspace Link, Inc.

Platform Engineer

Detroit, MI · On-site

... observability (Better Stack, Prometheus, VictoriaMetrics, Grafana) · Assist with incident response and participate in an on-call rotation as the team grows · Work with SRE to improve system ...

Mariana Minerals

Sr. Data Engineer

Ann Arbor, MI · On-site

$103K - $140K/yr

... observability, and lineage in your domain. • Build the data architecture that feeds production ML--the training and monitoring layer--in partnership with the ML engineers who own the model-specific ...

Mariana Minerals

Sr. Data Engineer

Ann Arbor, MI · On-site

$103K - $140K/yr

... observability, and lineage in your domain. • Build the data architecture that feeds production ML--the training and monitoring layer--in partnership with the ML engineers who own the model-specific ...

Deloitte

AI Engineer Senior Consultant

Detroit, MI · Hybrid

$103K - $142K/yr

AI Engineer Senior Consultant Our Deloitte Human Capital team transforms technology platforms ... observability, and cost/performance discipline. Recruiting for this role ends on August 30, 2026 ...

Merican

AI Native Software Engineer

Detroit, MI · On-site

AI Native Software Engineer Duration: 12 Months Location: Dallas, TX Work Type: Onsite Job Type ... Implement observability and monitoring for agent lifecycle AI Platform Integration * Integrate with ...

Ford Motor Company

Software Engineer

Dearborn, MI · On-site

... observability, monitoring, and alerting frameworks (SLOs/SLIs) to ensure the performance, reliability, and availability of critical systems. • Lead performance engineering initiatives, including ...

Apex Systems

Python Software Engineer

Dearborn, MI · Hybrid

$55 - $80/hr

Python Software Engineer Duration: Long-term contract Location: Hybrid - 4 days/week onsite in SE ... In this role, you will design and build next-generation, self-service observability infrastructure ...

Deloitte

AI Data Engineer - Senior Consultant

Detroit, MI · Hybrid

$103K - $142K/yr

AI Engineer Senior Consultant Our Deloitte Human Capital team transforms technology platforms ... observability, and cost/performance discipline. Recruiting for this role ends on August 30, 2026 ...

Deloitte

AI Data Engineer - Senior Consultant

Midland, MI · Hybrid

$89K - $123K/yr

AI Engineer Senior Consultant Our Deloitte Human Capital team transforms technology platforms ... observability, and cost/performance discipline. Recruiting for this role ends on August 30, 2026 ...

Apex Systems

Platform Engineer

Dearborn, MI · On-site

Maintain high engineering standards, including quality, observability, and secure defaults * Own end-to-end delivery, including production support, documentation, and continuous improvement Success ...

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Observability Engineer information

See Michigan salary details

$19

$56

$93

How much do observability engineer jobs pay per hour?

As of Jun 15, 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 engineers make $500,000?

Senior-level Observability Engineers with extensive experience, specialized skills in monitoring tools like Prometheus or Grafana, and certifications in cloud platforms such as AWS or Azure can earn $500,000 or more annually. These roles often require advanced knowledge of system architecture, automation, and performance optimization in large-scale environments.

What are the typical responsibilities of an Observability Engineer on a daily basis?

As an Observability Engineer, your daily responsibilities usually include designing and maintaining monitoring and alerting systems, analyzing system logs, and collaborating with development teams to improve service reliability. You'll work regularly with a suite of observability tools to ensure that infrastructure and applications are performing optimally, quickly responding to any incidents or anomalies detected. Additionally, you help establish best practices for instrumentation and metrics collection, often leading initiatives to enhance visibility into complex, distributed systems. The work is a blend of proactive system design and reactive problem-solving, requiring both technical expertise and strong teamwork skills.

What is the salary of observability specialist?

The salary of an Observability Engineer typically ranges from $80,000 to $140,000 annually, depending on experience, location, and company size. Professionals with skills in monitoring tools like Prometheus, Grafana, or Elasticsearch may command higher salaries, especially in tech hubs or with advanced certifications.

What does an observability engineer do?

An observability engineer designs, implements, and maintains systems that monitor and analyze software performance, reliability, and security. They work with tools like monitoring dashboards, log management, and alerting systems to ensure applications run smoothly and issues are quickly identified and resolved.

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 engineers make 300,000 a year?

Senior Observability Engineers with extensive experience, advanced skills in monitoring tools, cloud platforms, and automation can earn salaries of $300,000 or more annually. These roles often require specialized certifications and a strong understanding of system architecture and performance optimization.

What are the key skills and qualifications needed to thrive in the Observability Engineer position, and why are they important?

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.

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
Senior Machine Engineer, ML Systems and Infrastructure

Senior Machine Engineer, ML Systems and Infrastructure

Autodesk

Novi, MI • Remote

$98K - $134K/yr

Full-time

Posted 8 days ago

Autodesk rating

9.5

Company rating: 9.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

7th of 190 rated software companies

Job description

Job Requisition ID #

26WD98118

POSITION OVERVIEW

The work we do at Autodesk touches nearly every person on the planet. By creating software tools for making buildings, machines, and even the latest movies, we influence and empower some of the most creative people in the world to solve problems that matter.

Autodesk is seeking a Senior ML Engineer, ML Systems and Infrastructure to design and scale the systems that enable machine learning across research and product development. You will help build the infrastructure behind large-scale data pipelines, distributed training systems, evaluation frameworks, and production ML workflows that support foundation models and ML-powered product features.

This role is ideal for an engineer who is deeply interested in scalable systems and production-grade ML infrastructure. You will operate independently across multiple parts of the stack and help define strong engineering practices for reliability, performance, and maintainability.

This role is fully remote-friendly, with team members distributed across the US and Canada.

Location: US or Canada Remote, East Coast

RESPONSIBILITIES

  • Design and build scalable systems for ML training, evaluation, deployment, and monitoring

  • Develop and improve data pipelines that process large-scale structured and semi-structured technical datasets

  • Optimize distributed workflows for performance, reliability, resource utilization, and cost efficiency

  • Build platform capabilities such as experiment tracking, model versioning, checkpointing, reproducibility, and observability

  • Contribute to model deployment, inference services, and production monitoring workflows

  • Improve data quality, lineage, provenance, and operational transparency across ML pipelines

  • Contribute to architecture and design discussions across the team

  • Identify and resolve bottlenecks in data, compute, orchestration, and observability layers

  • Mentor engineers through code reviews, design guidance, and knowledge sharing

  • Collaborate closely with researchers, product engineers, and platform partners to turn ML workflows into robust engineering systems

MINIMUM QUALIFICATIONS

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent industry experience

  • At least 3 to 4 years of industry experience building and operating production software, ML systems, distributed infrastructure, or large-scale data pipelines

  • Strong experience in software engineering, distributed systems, backend systems, or ML infrastructure

  • Strong proficiency in Python and experience delivering production-quality systems

  • Experience designing and operating scalable data or compute pipelines

  • Experience with cloud platforms such as AWS, Azure, or GCP

  • Familiarity with containers, CI/CD, observability, and release quality practices

  • Ability to independently drive technical execution on complex work with limited oversight

PREFERRED QUALIFICATIONS

  • Experience building data pipelines for large-scale structured and semi-structured technical datasets

  • Experience with data lineage, provenance, governance, and responsible data usage in ML systems

  • Experience with distributed data processing and orchestration systems such as Ray, Airflow, Spark, or similar platforms

  • Experience with model deployment, inference services, monitoring, and observability for production ML systems

  • Experience building ML-ready representations for geometry, graph, hierarchical, or multimodal data

  • Experience with distributed ML frameworks such as PyTorch, Lightning, DeepSpeed, FSDP, Megatron, or similar

  • Familiarity with AEC workflows, design data, BIM/CAD formats, or Autodesk products

THE IDEAL CANDIDATE

  • Thinks like a systems engineer and executes like a strong software developer

  • Can balance short-term delivery with long-term platform health

  • Brings strong technical judgment and ownership

  • Improves team effectiveness through mentoring and engineering rigor

  • Enjoys solving scaling, performance, and reliability challenges

At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.

Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site). If you have any questions or require support, contact Autodesk Careers.
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About Autodesk

Sourced by ZipRecruiter

Autodesk is changing how the world is designed and made. Our technology spans architecture, engineering, construction, product design, manufacturing, media, and entertainment, empowering innovators everywhere to solve challenges big and small. From greener buildings to smarter products to more mesmerizing blockbusters, Autodesk software helps our customers to design and make a better world for all. For more information visit autodesk.com or follow @autodesk.

Industry

Software development

Company size

10,000+ Employees

Headquarters location

San Rafael, CA, US

Year founded

1982

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