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Docker Jobs in Michigan (NOW HIRING)

EPSoft Technologies

AI engineer

Dearborn, MI · On-site

$89K - $122K/yr

Experience working with container technology, docker files, docker images, GitHub, CI/CD concepts, Kubernetes (k8). * Experience with Generative AI - LLM and building frontend with React / Chainlit ...

HTC Global Services

Azure .NET Developer

Grand Rapids, MI · On-site

$52.75 - $65.50/hr

Deploy, scale, and manage applications using Docker and Kubernetes (K8s). * Participate actively in Agile ceremonies, including daily stand-ups, sprint planning, and retrospectives. * Communicate ...

HTC Global Services

Azure .NET Developer

Grand Rapids, MI · On-site

$51 - $63.25/hr

Deploy, scale, and manage applications using Docker and Kubernetes (K8s). * Participate actively in Agile ceremonies, including daily stand-ups, sprint planning, and retrospectives. * Communicate ...

Noblesoft Technologies

Java Developer

Lansing, MI · On-site

$51.75 - $67/hr

Experience with Docker and Kubernetes * Experience working on government or public sector projects * Java certifications Education * Bachelor's degree in Computer Science, IT, or related field

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How much do docker jobs pay per hour?

As of Aug 7, 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 are the key skills and qualifications needed to thrive as a docker?

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.

What is a docker?

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 are the most commonly searched types of Docker jobs in Michigan? The most popular types of Docker jobs in Michigan are:
What are popular job titles related to Docker jobs in Michigan? For Docker jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Docker jobs in Michigan look for? The top searched job categories for Docker jobs in Michigan are:
What cities in Michigan are hiring for Docker jobs? Cities in Michigan with the most Docker job openings:
Docker jobs near you
Infographic showing various Docker job openings in Michigan as of July 2026, with employment types broken down into 66% Full Time, and 34% Contract. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $109,741 per year, or $52.8 per hour.

AI engineer

EPSoft Technologies

Dearborn, MI • On-site

$89K - $122K/yr

Full-time

Re-posted 15 days ago

Job description

Job Title: AI engineer

Location: Dearborn, MI,48120- 2 days onsite in a week

Employment Type: Full-time

Position Description:

GDI&A is looking for a Software Engineer focused on building and driving the strategy forward for our internal AI/ML platform. This role will work in a small, cross-functional teams. The position will collaborate directly and continuously with business partners, product managers and designers, and will release early and often. The team you will be working on supports ML Practitioners and Data Scientists in their Mach1ML (Ford’s AI/ML platform similar to Uber’s Michelangelo, Facebook’s FBLearner, etc) on GCP journey or other ML Engineering / MLOps / Generative AI - LLM tasks, focusing on Mach1ML adoption and AI/ML democratization.

Skills Required:

• Work closely with Tech Anchor, Product Manager and Product Owner to deliver machine learning use cases using Agile Methodology.

• Work with other Software and ML Engineers to tackle challenging AI problems.

• Participate in Pair Programming for cross training/upskilling, problem solving, and speed to delivery.

• Leverage latest ML and GCP technologies.

• Work with Architects to make technical decision on tools, integration, and other issues.

• Drive PoCs/Discoveries of new tools and technologies to support robust ML Platform

• Collaborate with other software engineers to understand platform vision, break out tasks and help them solve complex issues.

• Grow technical capabilities / expertise and provide guidance to other software engineers on the team.

Skills Preferred:

• Experience working with Google Cloud platform.

• Experience with Python and have used Machine Learning algorithms (pytorch, NLP etc) .

• Experience using orchestration tools like Airflow and have knowledge of Infrastructure as code (Terraform).

• Experience working with container technology, docker files, docker images, GitHub, CI/CD concepts, Kubernetes (k8).

• Experience with Generative AI – LLM and building frontend with React / Chainlit / Streamlit.

• Experience in supporting continuous improvement by investigating development alternatives.

• Experience in Software Craftsmanship such as Paired Programming, Test Driven Development, DevOps etc.

• Experience in creating an API service with Fast API / Flask.

• Experience applying Agile practices to solution delivery.

• Must be a self-starter to understand existing bottlenecks and come up with innovative solutions.

• Open to learning new technology.

• Strong communication and presentation skills, ability to share/teach others, work collaboratively with others.

• Good understanding of cloud design considerations and limitations and impact of pricing.

Experience Required:

• 4+ years of experience in Python and Machine Learning Technologies.

• 2+ years of experience in Generative AI - LLM.

• 3+ years of work experience as a software engineer with exceptional software engineering knowledge.

• Experience working with Google Cloud Platform or other cloud experience. CICD tools (Tekton / Cloud Build / Airflow etc.) experience.