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Docker Jobs in Michigan (NOW HIRING)

KLA

Senior AI Ops Engineer| Kubernetes/docker

Ann Arbor, MI · On-site

$102K - $140K/yr

... Docker), orchestration (Kubernetes), and operating GPU workloads reliably at scale. • Experience with CI/CD, version control (Git), and Infrastructure-as-Code (Terraform/Bicep or equivalent). • ...

Keylent Inc

Technical Architect

Dearborn, MI · On-site

$61 - $73.75/hr

Build and Deploy Docker Images in Serverless Infrastructure like Google Cloud Run. Onboard product teams to CI/CD framework simplifying the developer experience, promoting standards & methodologies.

Keylent Inc

Openshift Administrator

Detroit, MI · On-site

$60/hr

Deep understanding of the Red Hat OpenShift cluster, container, the Docker project, Kubernetes and Platform-as-a-Service (PaaS) space * Strong knowledge and experience in OpenShift cluster resources ...

Syntricate Technologies

AWS Engineer

Detroit, MI · On-site

$51 - $68.25/hr

Knowledge of Docker and Kubernetes * Knowledge of latest AWS services and technologies and provide recommendations for improvement * Strong communication and collaboration skills * AWS certifications ...

Software Technology Inc

Senior Angular Developer

Lansing, MI · On-site

$55.50 - $68/hr

Experience building and deploying to containerized (Docker) environments. * Good communication skills and leadership skills. * Good teamwork skills. * Nice to have, Agile software development ...

Commserve Technologies

Java Springboot

Dearborn, MI · On-site

$47 - $60.75/hr

Collaborate with product and DevOps on CI/CD pipelines (Docker, Kubernetes, Helm) * Participate in architecture reviews and define best practices for the team Required Skills: * 5+ years with Java ...

HPTech Inc.

Java Developer (W2 only)

Dearborn, MI · On-site

$47 - $60.75/hr

Collaborate with product and DevOps on CI/CD pipelines (Docker, Kubernetes, Helm) * Participate in architecture reviews and define best practices for the team Required Skills * 5+ years with Java ...

Commserve Technologies Inc

Java Springboot

Dearborn, MI · On-site

$46.75 - $60.75/hr

... Docker, Kubernetes, Helm) • Participate in architecture reviews and define best practices for the team Required Skills • 5+ years with Java (Java 17+ preferred) and Spring Boot ecosystem • ...

Diverse Lynx

Software Engineer - Java

Dearborn, MI · On-site

$47.75 - $65.50/hr

Collaborate with product and DevOps on CI/CD pipelines (Docker, Kubernetes, Helm) * Participate in architecture reviews and define best practices for the team Required Skills: * 5+ years with Java ...

New

Optimal Inc.

GPU Platform Infrastructure Engineer

Warren, MI · On-site

$100K - $131K/yr

... Docker development workflows Collaborate with infrastructure, AI/ML, and engineering teams to support shared GPU operations Required Skills Experience with Linux, Kubernetes, Docker, and GPU ...

3MK Software Solutions

Dev Ops- Engineering

Detroit, MI

$52.25 - $71.50/hr

Direct hands-on experience with AWS services Direct hands-on experience with GitLab, Stash, Jira, Redmine, Jenkins, Go, Selenium, Chef, Docker, Ansible, Cloud Foundry Qualifications Direct hands-on ...

Optimal Inc.

GPU Platform Infrastructure Engineer

Warren, MI · On-site

$100K - $131K/yr

... Docker development workflows Collaborate with infrastructure, AI/ML, and engineering teams to support shared GPU operations Required Skills Experience with Linux, Kubernetes, Docker, and GPU ...

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How much do docker jobs pay per hour?

As of Jun 28, 2026, the average hourly pay for docker in Michigan is $52.76, according to ZipRecruiter salary data. Most workers in this role earn between $44.23 and $60.53 per hour, depending on experience, location, and employer.

What are some common challenges dockers face in their day-to-day work?

Dockers frequently encounter physically demanding tasks and must work in various weather conditions, which can be challenging. Efficient coordination is required to handle heavy or hazardous cargo safely and to ensure that shipments are tracked and documented correctly. Working as part of a larger team, dockers must also adapt to changing schedules and priorities, especially when cargo ships arrive outside of regular hours. Being mindful of safety protocols and remaining alert on busy docks helps prevent accidents and promote a productive work environment. Despite these challenges, the role offers valuable experience for career advancement in logistics, port operations, and supervisory positions.

What is the average salary of a Docker employee?

A Docker engineer or related role typically earns an average salary ranging from $100,000 to $150,000 annually, depending on experience, location, and specific responsibilities. Skills in containerization, orchestration, and cloud platforms can influence compensation levels.

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

To thrive as a Docker (dockworker or longshoreman), you need physical strength, stamina, and an understanding of cargo handling and safety protocols, often gained through on-the-job training or related experience. Familiarity with warehouse equipment such as forklifts, pallet jacks, and computerized inventory systems is beneficial, along with any certifications required for heavy machinery operation. Attention to detail, teamwork, and effective communication are valuable soft skills in this role. These abilities are essential to ensure safe, efficient loading and unloading of goods, prevent workplace accidents, and maintain smooth port or warehouse operations.

Is Docker still relevant in 2026?

Docker remains a relevant skill for containerization and DevOps roles in 2026, as it is widely used for developing, deploying, and managing applications across various environments. Knowledge of Docker, along with container orchestration tools like Kubernetes, continues to be valuable for system administrators and developers. Staying updated with container technology trends and certifications can enhance job prospects.

Why are people leaving Docker?

People leaving Docker often cite the shift towards alternative containerization tools like Podman and Kubernetes, as well as changes in company focus and licensing models. Docker skills remain valuable, but professionals may seek roles that involve broader cloud and container orchestration technologies.

What is a Docker job?

A Docker job typically refers to a role where a professional works with Docker to create, manage, and deploy containerized applications. This may involve writing Dockerfiles, configuring container orchestration tools like Kubernetes, and optimizing container performance. Docker professionals often collaborate with developers and DevOps teams to ensure seamless application deployment and scalability.

What is a Docker job?

A Docker job involves working with containerization technology to develop, deploy, and manage applications using Docker. Professionals in this role typically have skills in Linux, scripting, and cloud platforms, and may hold certifications like Docker Certified Associate. The job often requires collaboration with development and operations teams to ensure efficient application deployment and scalability.
What are the most commonly searched types of Docker jobs in Michigan? The most popular types of Docker jobs in Michigan are:
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Docker jobs near you
Senior AI Ops Engineer| Kubernetes/docker

Senior AI Ops Engineer| Kubernetes/docker

KLA

Ann Arbor, MI • On-site

$102K - $140K/yr

Full-time

Posted 23 days ago

Job description

Job Summary:
KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. They are seeking a highly skilled Senior AI Ops Engineer to architect and deliver automation layers for scalable model development, focusing on end-to-end experiment management and model fine-tuning pipelines.
Responsibilities:
• Implement and operate experiment tracking, lineage, and reproducibility standards (datasets, code, configs, artifacts, metrics) using MLflow/W&B or equivalents.
• Build CI/CD for ML: tests (unit/integration), packaging, reproducibility checks, policy gates, automated deployment and rollback strategies.
• Design workflow orchestration for large-scale ML jobs (scheduled runs, triggered retrains, parameter sweeps, gated releases) using tools such as Airflow/Kubeflow/Argo or equivalents.
• Architect, build, and own automated pipelines for model training, fine-tuning (e.g., PEFT/LoRA), evaluation, and promotion across environments (dev → staging → production).
• Establish standardized training “recipes” (configs, templates, golden paths) to reduce time-to-first-experiment and improve consistency across teams.
• Enable and optimize distributed GPU training (throughput, reliability, and cost), including checkpointing, mixed precision, fault tolerance, and spot/preemptible handling where applicable.
• Develop evaluation harnesses and automated benchmark suites (quality, safety, latency, and cost) with clear, repeatable reporting to compare runs and releases.
Qualifications:
Required:
• Strong proficiency in Python and experience building robust automation frameworks and production-grade services for ML workloads
• Hands-on experience with experiment tracking and model lifecycle tooling (e.g., MLflow, Weights & Biases) and reproducible ML workflows
• Practical experience fine-tuning modern deep learning models (e.g., Transformers) and familiarity with parameter-efficient approaches (LoRA/PEFT)
• Working knowledge of RLHF concepts and pipelines (preference data, reward models, policy optimization) and how to operationalize human-in-the-loop workflows.
• Experience with containerization (Docker), orchestration (Kubernetes), and operating GPU workloads reliably at scale.
• Experience with CI/CD, version control (Git), and Infrastructure-as-Code (Terraform/Bicep or equivalent).
• Excellent problem-solving skills across distributed systems (training jobs, pipelines, compute infrastructure) and strong communication to partner with research and engineering teams.
• Prior experience in a similar industry and/or operating ML platforms with stringent IP/security requirements is a plus.
• Bachelor’s degree in Computer Science, Software Engineering, or related field
• 5+ years of experience in MLOps/Platform Engineering/DevOps/ML Engineering (or demonstrated equivalent impact), including owning production systems and leading cross-team initiatives
• Master's Level Degree and related work experience of 6 years; OR Bachelor's Level Degree and related work experience of 8 years; OR equivalent work experience
Company:
Kla creates tools and services that promote innovation in the electronics industry. Founded in 1975, the company is headquartered in Milpitas, USA, with a team of 10001+ employees. The company is currently Late Stage.

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