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Docker Remote Jobs in Maryland (NOW HIRING)

Experience with containers and container orchestration tooling (Kubernetes / Helm / Docker ... Candidate can live anywhere in the United States. #LI-MP2 #LI-REMOTE Basic Requirements * 8+ years ...

Remote Job Duration: Fulltime Client: Federal Criteria- Need ship because of federal regulations ... Hands-on experience with Docker, Kubernetes, and containerized application deployment. * Experience ...

... Kubernetes, Docker,Ansible, and Bitbucket. * Work with an Agile team, attend daily scrums, and demonstrate working software while collaborating with a geographically distributed (remote) team.

Sr DevOps Engineer

Owings Mills, MD ยท Remote

$124K - $160K/yr

... REMOTE SKILLSETS NEEDED: * Significant development experience (6+ years) with containerization and Docker * Container Orchestration skills (Example: Kubernetes, AWS ECS or AWS EKS 6+ years) * Deep ...

Sr DevOps Engineer

Owings Mills, MD ยท Remote

$124K - $160K/yr

... REMOTE SKILLSETS NEEDED: * Significant development experience (6+ years) with containerization and Docker * Container Orchestration skills (Example: Kubernetes, AWS ECS or AWS EKS 6+ years) * Deep ...

Sr DevOps Engineer

Owings Mills, MD ยท On-site +1

$124K - $160K/yr

... REMOTE SKILLSETS NEEDED: * Significant development experience (6+ years) with containerization and Docker * Container Orchestration skills (Example: Kubernetes, AWS ECS or AWS EKS 6+ years) * Deep ...

NLM Cloud Engineer I

Bethesda, MD ยท Remote

$59.50 - $79.50/hr

Experience with containerization and orchestration tools, including Docker, Kubernetes, Anthos, and ... Knowledge of FedRAMP requirements and secure remote access administration * Prior experience ...

NLM Cloud Engineer I

Bethesda, MD ยท Remote

$59.75 - $79.75/hr

Experience with containerization and orchestration tools, including Docker, Kubernetes, Anthos, and ... Knowledge of FedRAMP requirements and secure remote access administration * Prior experience ...

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Docker Remote information

What is a Docker remote?

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.

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 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.

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 cities in Maryland are hiring for Docker Remote jobs?

Cities in Maryland with the most Docker Remote job openings:

Infographic showing various Docker Remote job openings in Maryland as of August 2026, with employment types broken down into 89% Full Time, 6% Part Time, and 5% Contract. Highlights an 76% Physical, 6% Hybrid, and 18% Remote job distribution.

Software Engineer - TS/SCI with Poly

Staffed4U

Annapolis Junction, MD โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted yesterday


Key responsibilities

  • Contribute to the development and deployment of secure RAG pipelines in an HPC Linux environment

  • Work with AI/ML technologies, including LLM orchestration frameworks, embedding models, and inference platforms

  • Develop and maintain services using Python and Golang


Job description

Software Engineer
$160k- $230k

Location: Annapolis Junction, MD
Clearance Required: TS/SCI with Polygraph
Experience Level: 7+ years of experience
Education: Bachelor's degree in Computer Science, Engineering, or related field
Position Summary:
We are seeking a skilled and mission-driven Software Engineer to support the ML Frameworks team. In this role, you will contribute to the design, development, and deployment of a Retrieval-Augmented Generation (RAG) solution within a high-performance computing (HPC) Linux environment. This position is ideal for someone with a strong Linux background and a passion for AI/ML technologies, especially Large Language Models (LLMs) and secure AI systems.
Primary Responsibilities:

  • Contribute to the development and deployment of secure RAG pipelines in an HPC Linux environment
  • Work with cutting-edge AI/ML technologies, including LLM orchestration frameworks, embedding models, and inference platforms
  • Develop and maintain services using Python and Golang
  • Build and manage containerized services using DockerPodman, and containerd
  • Deploy services using orchestration tools like Kubernetes and Docker Compose
  • Automate and monitor workflows with CI/CD pipelines, using GitLab CI and version control with Git
  • Integrate monitoring tools such as Prometheus and Grafana for performance and reliability
  • Participate in system administration, including Linux CLI, shell scripting, and general support tasks
Required Qualifications:
  • Active TS/SCI clearance with Polygraph
  • Bachelor’s degree in Computer Science, Engineering, or a related technical field
  • 7+ years of professional software engineering experience
  • Strong experience with Linux system administrationCLI, and shell scripting
  • Proficiency in Python and Golang
  • Familiarity with RAG pipelinesLLMs, and knowledge retrieval systems
  • Experience with containerization technologies and orchestration tools (Docker, PodMan, Kubernetes, Docker Compose)
  • Solid understanding of CI/CD principles and related tools (GitLab CI)
  • Experience with metrics and monitoring tools (e.g., Prometheus, Grafana)
  • Experience using Git for version control
Desired Skills & Technologies:
  • Experience with GPU-enabled applications and debugging tools
  • Familiarity with LLM orchestration frameworks and OpenAPI
  • Experience with distributed processing frameworks such as SparkDask, or Ray
  • Familiarity with SQLElasticsearch, and vector databases
  • Experience with HTMX or Hyperscript
  • Understanding of multi-node, multi-GPU AI training environments
  • Knowledge of AI inferencing platforms such as Nvidia NIM/TRITONvLLM, or Ray-based deployment
  • Experience with the Atlassian suite (Confluence, Jira)

Our client offers a highly competitive and comprehensive benefits package designed to support your personal and professional growth, while promoting a healthy work-life balance. Benefits include:

  • 100% Employer-Paid Health, Dental, and Vision Insurance – Full coverage for employees

  • Zero Vesting 401(k) Plan with 10% Company Contribution – Immediate access to all contributions

  • 31 Days of Paid Time Off – Includes vacation, personal time, and all federal holidays

  • Student Loan Repayment Assistance – Helping you pay down your educational debt

  • Unlimited Certification & Training Support – Invest in your professional development

  • Flexible Work Environment – Remote work options and flexible scheduling available

  • Multiple Incentive Bonuses – Performance-based rewards throughout the year

  • Exclusive Company Memberships – Access to curated memberships and employee perks

This package reflects our client’s commitment to empowering their employees with meaningful benefits and recognizing outstanding performance.
 


We are an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other protected status under applicable law.