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Docker Remote Jobs in Michigan (NOW HIRING)

Kobie Marketing

AI Engineer

Detroit, MI · Remote

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Fluency with Git, Docker, and modern API frameworks * Clear written communication and the judgment ...

Kobie Marketing

AI Engineer

Detroit, MI · On-site +1

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Fluency with Git, Docker, and modern API frameworks * Clear written communication and the judgment ...

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Docker Remote information

What is the difference between Docker Remote and Docker Engineer?

AspectDocker RemoteDocker Engineer
Required CredentialsDocker certifications, Linux fundamentalsDocker certifications, Linux fundamentals, scripting skills
Work EnvironmentRemote, cloud-based teamsOn-site or remote, development and deployment environments
Employer & Industry UsageTech companies, cloud providers, startupsSoftware development, DevOps teams, IT firms
Common Search & ComparisonYesYes

Docker Remote roles focus on managing Docker containers remotely, often requiring cloud and networking skills. Docker Engineers design, implement, and maintain containerized applications, involving scripting and infrastructure knowledge. While both roles involve Docker expertise, Docker Remote emphasizes remote management, whereas Docker Engineer emphasizes development and deployment tasks.

What are some common challenges faced by professionals working in remote Docker roles, and how can they be addressed?

Professionals in remote Docker roles often encounter challenges such as ensuring consistent environment replication across distributed teams and troubleshooting container issues without physical access to infrastructure. Effective communication and documentation are essential to align on container configurations and deployment processes. Utilizing collaborative tools, automated testing, and CI/CD pipelines can streamline workflows, while regular virtual meetings help maintain team cohesion and resolve issues promptly.

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 Docker's licensing and pricing models. Additionally, some users seek more control over their environments or prefer open-source solutions, which can influence job market demand for Docker-related roles. Staying updated with container orchestration and container security skills remains important for Docker professionals.

Does Docker pay well?

Docker remote roles, such as DevOps or containerization specialists, tend to offer competitive salaries due to the high demand for cloud and container management skills. Compensation varies based on experience, location, and certifications like Docker Certified Associate, but generally aligns with industry standards for technical roles in IT and software development.

What are Docker Remote jobs?

Docker Remote jobs are positions that involve working with Docker, a popular containerization platform, while allowing employees to work remotely from any location. These roles typically focus on building, deploying, and managing containerized applications and infrastructure using Docker. Common responsibilities may include creating Docker images, maintaining container orchestration, and troubleshooting container environments. Docker Remote jobs are sought after in tech companies embracing distributed workforces, and they require strong knowledge of Docker, cloud services, and DevOps practices.

Is Docker still relevant in 2026?

Docker remains a relevant skill for remote developers, as containerization continues to be a key technology for deploying and managing applications efficiently. Its widespread adoption in DevOps, cloud environments, and CI/CD pipelines ensures ongoing demand for Docker expertise. Staying updated with related tools like Kubernetes can enhance job prospects for Docker remote roles.

Can you use Docker remotely?

Docker remote usage is possible by configuring Docker to accept connections over a network, enabling remote management of containers and images. This requires secure setup, such as TLS encryption, and appropriate network access. Skills in Docker configuration and security are important for effectively managing Docker remotely.

What are the key skills and qualifications needed to thrive as a Docker Remote Engineer, and why are they important?

To excel as a Docker Remote Engineer, you need a solid understanding of containerization concepts, Linux systems, and continuous integration/continuous deployment (CI/CD) pipelines, often supported by a degree in computer science or related experience. Familiarity with Docker CLI, Compose, Kubernetes, cloud platforms, and a Docker Certified Associate (DCA) certification are highly beneficial. Strong problem-solving skills, effective communication, and self-motivation are crucial soft skills for remote collaboration and troubleshooting. These competencies enable efficient, scalable application deployment and ensure seamless teamwork in distributed environments.
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 Remote jobs in Michigan? For Docker Remote jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Docker Remote jobs in Michigan look for? The top searched job categories for Docker Remote jobs in Michigan are:
What cities in Michigan are hiring for Docker Remote jobs? Cities in Michigan with the most Docker Remote job openings:
Docker Remote jobs near you
Infographic showing various Docker Remote job openings in Michigan as of July 2026, with employment types broken down into 1% Locum Tenens, 89% Full Time, 4% Part Time, 5% Contract, and 1% Nights. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution.
AI Engineer

AI Engineer

Kobie Marketing

Detroit, MI • Remote

Full-time

Posted 27 days ago

Job description

Join a National Top Workplace 
 
Named a Top Workplace in the USA and Top Remote Workplace, Kobie is where the best minds in loyalty come together, driven by passion and innovation. We're always looking for talented individuals who are ready to join a collaborative, growth-focused culture. As a partner to some of the world's most recognized brands, we are leaders in loyalty, helping brands build lasting emotional connections with their consumers. 
 
Join Us from Anywhere 
While our headquarters are nestled in sunny St. Petersburg, Florida, Kobie embraces a flexible work environment, offering teammates the freedom to work remotely. We understand the importance of work-life balance and support our team with: 

         Flexible Time Off to recharge when needed 
         Nine Company-Wide Holidays 
         A diverse suite of benefits prioritizing your growth, development, and personal well-being 

Discover more about our perks and benefits here. 
 
Kobie is a values-led organization where we believe that everyone is a leader, regardless of their position or role. 


About the team and what we'll build together

Kobie runs some of the largest loyalty programs in the world. We're building an internal agent platform on Amazon AgentCore that automates analyst workflows, surfaces insights from program data in Snowflake, and gives our teams and clients an LLM-native way to work with complex loyalty logic.

We're looking for a hands-on AI Engineer to ship on that platform: building agent harnesses, writing the tools those agents call, and owning the reliability and evaluation of what goes to production. This is not a research role. You'll prototype, ship, monitor, and iterate on features used by real teams

Our team tends to be people who reason carefully, ship working code,and pick up new tools without a lot of handholding. There's no single path into this role. We value the impact of what you've built and your track record of building things that hold up.

How you will make an impact

Agent Development

  • Build agent harnesses in Python using LangChain and LangGraph, including tool-calling, structured outputs (Pydantic/JSON schema), retries, streaming, and memory
  • Package agent harnesses for the AgentCore Runtime with appropriate context, tools, skills, and subagents that fit cleanly into production flows and scenarios
  • Write the tools and skills agents use  API integrations, SQL queries against Snowflake, Snowflake backed knowledge retrieval with clear contracts and Pydantic validation

Evaluation and Reliability

  • Build evaluation harnesses (golden datasets, LLM-as-judge, regression suites) using AgentCore Evaluations, and wire them into CI
  • Implement guardrails around tool execution: auth scoping, input/output validation, PII and prompt-injection protections, and hallucination mitigation
  • You own what you ship: prototype, deploy through Amazon AgentCore, monitor traces, and fix it when it breaks

Collaboration

  • Partner with data engineers on Snowflake backed retrieval patterns (Cortex Analyst and Cortex Search Services)
  • Contribute to refining our internal engineering patterns as the stack evolves

What you need to be successful

Required

  • 3+ years of professional Python, with production experience building and operating services
  • 1+ years of hands-on work with LLMs in production: prompt/context engineering, tool/function calling, structured outputs, RAG
  • Working knowledge of LangChain/LangGraph or a comparable framework like AgentCore Strands, CrewAI, or Semantic Kernel
  • Experience with LLM observability tools: Amazon CloudWatch, LangSmith, Langfuse, MLflow, or OpenTelemetry
  • Experience designing evaluation frameworks (MLFlow, DeepEval, LLM-as-judge, multi-turn regression)
  • Fluency with Git, Docker, and modern API frameworks
  • Clear written communication and the judgment to know when something is ready to ship

A bachelor's degree is not required. Equivalent practical experience: including bootcamps, self-taught work, career changes, or non-CS technical degrees counts.

Strongly Preferred

  • Hands-on experience with Amazon Bedrock and/or AgentCore as a developer: runtime, gateways, memory, policy, guardrails, observability, awscli, evaluations
  • Experience with Snowflake, Snowpark, or Snowflake Cortex
  • Fluency in writing and reading SQL, as well as understanding semantic models.
  • Familiarity with multi-agent patterns: supervisor/router, subagent/handoff, reflection, human-in-the-loop
  • A considered view on where agents should and shouldn't act and comfort pushing back when "let's add an agent" isn't the right answer
  • Experience in Loyalty, MarTech, AdTech, or a comparable data rich B2B domain
Who we are  As a trusted partner, Kobie delivers market-leading, end-to-end loyalty solutions designed to enable customer experiences for the world's most successful brands. We do this with a strategy-led technology approach that uncovers the truth behind what drives consumers on an emotional level. We believe that our team's passion and expertise are the driving forces behind our success and are proud to be named a Top Workplaces in the USA, where the best and brightest in loyalty drive our mission of growing enterprise value through loyalty. 
 
A place for all We celebrate and embrace diversity at Kobie! 
Employment at Kobie is based solely on an individual's merit and qualifications, which are directly related to professional competence. We do not discriminate against any teammate or applicant because of race,color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy, or any other characteristic protected by applicable law. 
 
We are fiercely committed to fostering a workplace where teammates can bring their authentic selves to work every day. Our DEI initiatives, including various committees, ensure that principles of equity, diversity, and inclusion are deeply ingrained throughout Kobie. While our leadership team fully supports our policy of nondiscrimination and equal opportunity, it is the responsibility of all teammates to uphold these values. 
 
Ready to join us? If you're ready to make an impact and grow in a supportive, innovative environment, we'd love to hear from you. Apply today and join the best and brightest in loyalty! 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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