1

Devops Kubernetes Jobs in Virginia (NOW HIRING)

DevOps Engineer

Chantilly, VA · On-site

$54 - $74/hr

BT-290 - DevOps Engineer Location: Chantilly, VA (fully on-site, no remote option) **Please do NOT ... A successful candidate would have a deep understanding of Kubernetes, containerization and cloud ...

Lead DevOps

Mclean, VA · On-site

$53.25 - $73/hr

Position: - Lead DevOps (AWS, Kubernetes, Python) Location: - Mclean VA (100% Onsite) Type: - Contract Need 13+ years of experience resumes Job Overview: We are looking for an experienced DevOps Lead ...

DevOps Engineer

Chantilly, VA · On-site

$54.50 - $74.75/hr

Overview VTG is seeking a DevOps Engineer is responsible for designing, implementing, and ... Kubernetes. * Support development, testing, and production environments across secure and low-side ...

DevOps Engineer

Richmond, VA

$52.25 - $71.50/hr

... DevOps Engineer (P3) to support and enhance cloud infrastructure, automation, CI/CD pipelines ... This role focuses on Azure cloud services, Kubernetes (AKS), Python automation, Infrastructure as ...

New

DevOps Engineer

Richmond, VA

$52.25 - $71.50/hr

... DevOps Engineer (P3) to support and enhance cloud infrastructure, automation, CI/CD pipelines ... This role focuses on Azure cloud services, Kubernetes (AKS), Python automation, Infrastructure as ...

New

DevOps Engineer

Chantilly, VA · On-site

$54.50 - $74.75/hr

Overview VTG is seeking a DevOps Engineer is responsible for designing, implementing, and ... Kubernetes. * Support development, testing, and production environments across secure and low-side ...

DevOps Engineer

Arlington, VA · On-site

$107K - $195K/yr

As a DevOps Engineer you will contribute to the design, deployment, and maintenance of a full stack ... Configure Kubernetes (Helm, YAML, etc.) continuous deployments using ArgoCD. * Collaborate with ...

DevOps Engineer

Mclean, VA

$53.25 - $73/hr

Implement and maintain containerization and orchestration solutions (Docker, Kubernetes ... DevOps, Site Reliability Engineering (SRE), or related roles * Strong experience with cloud ...

DevOps Engineer

Chantilly, VA

$54.50 - $74.75/hr

Implement and maintain containerization and orchestration solutions (Docker, Kubernetes ... DevOps, Site Reliability Engineering (SRE), or related roles * Strong experience with cloud ...

DevOps Engineer

Herndon, VA · On-site

$54.25 - $74.25/hr

Implement and maintain containerization and orchestration solutions (Docker, Kubernetes ... DevOps, Site Reliability Engineering (SRE), or related roles * Strong experience with cloud ...

DevOps Engineer

Arlington, VA · On-site

$107K - $195K/yr

As a DevOps Engineer you will contribute to the design, deployment, and maintenance of a full stack ... Use Helm to configure Kubernetes deployments to support new feature requirements. * Collaborate ...

DEVOPS ENGINEER (DEVELOPER)

Mclean, VA · On-site

$53.75 - $73.50/hr

Build and maintain custom Helm charts for Kubernetes-based deployments. * Collaborate with ... Enhance DevOps tooling and automation capabilities across cloud and on-prem environments. * Support ...

DevOps Engineer

Mclean, VA

$53.25 - $73/hr

Advanced Kubernetes * Advanced DevOps * AWS Cloud/Hardware * Linux * Ansible software Security clearance : * Active TS/SCI with Poly security clearance is required #clearancejobs

DevOps Engineer

Herndon, VA

$54.25 - $74.25/hr

Designing and maintaining Kubernetes and EKS clusters to ensure high availability and productivity ... DevOps, front end development or full stack development * Experience with Bash scripting

DevOps Engineer

Chantilly, VA

$54 - $74/hr

The DevOps Engineer will manage and administer cloud and on-prem infrastructure designed to deliver ... Gitlab, AWS, Kubernetes (RKE2 and EKS), Docker, Ansible, Terraform, ArgoCD, and Keycloak * Design ...

next page

Showing results 1-20

Devops Kubernetes information

What are popular job titles related to Devops Kubernetes jobs in Virginia? For Devops Kubernetes jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Devops Kubernetes jobs in Virginia look for? The top searched job categories for Devops Kubernetes jobs in Virginia are:
DevOps Pipeline Engineer (Azure) - Remote

DevOps Pipeline Engineer (Azure) - Remote

micro1 AI

Virginia Beach, VA • Remote

$200K - $300K/yr

Part-time

Medical, Retirement, PTO

Posted 24 days ago


Job description

Job Type: Full-time


Location: Remote - US


Job Summary:

Join our team as an Azure DevOps Engineer, where you will play a pivotal role in building, maintaining, and optimizing cutting-edge cloud infrastructure. This is an opportunity to leverage your expertise in Azure, DevOps, Kubernetes, and Docker to drive innovative solutions and ensure seamless deployment pipelines. As a core team member, your passion for clear written and verbal communication will be critical to collaborating across distributed teams and delivering high-impact results.


Key Responsibilities:

• Design, implement, and manage scalable, secure cloud infrastructure on Microsoft Azure.

• Develop and maintain CI/CD pipelines using Azure DevOps tools to ensure reliable application delivery.

• Orchestrate and manage containerized applications with Kubernetes and Docker.

• Monitor system performance, automate operational tasks, and proactively resolve issues.

• Collaborate closely with development teams to streamline deployments and improve operational efficiency.

• Ensure robust system security, compliance, and reliable backup/recovery strategies.

• Document processes and solutions, and communicate insights effectively with technical and non-technical stakeholders.


Required Skills and Qualifications:

• Minimum 5 years of hands-on experience in DevOps roles, with a strong focus on Azure cloud environments.

• Deep expertise in Azure DevOps tools and services.

• Advanced proficiency in Kubernetes and Docker for orchestration and container management.

• Excellent written and verbal communication skills, with a passion for clear, collaborative work.

• Experience designing and optimizing CI/CD pipelines.

• Solid understanding of infrastructure automation, monitoring, and troubleshooting.

• Strong problem-solving skills, attention to detail, and a proactive approach to continuous improvement.


Preferred Qualifications:

• Familiarity with additional cloud platforms such as GCP and AWS.

• Experience supporting large-scale, distributed systems.

• Relevant Azure or Kubernetes certifications are a plus.


Compensation & Benefits Notice

The national pay range for this full-time position is base salary of $160,000-$220,000. All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies. micro1 provides a comprehensive benefits package, including up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional benefits designed to support a high-performing, remote-first workforce.


micro1 is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to support@micro1.ai.


Our hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.


Disclaimer

The information contained in this job posting, including but not limited to role responsibilities, qualifications, compensation, and benefits, is provided for informational purposes only and does not constitute a binding offer of employment. micro1 reserves the right to amend, modify, or withdraw any portion of this posting at its sole discretion and without prior notice. All employment decisions are made in accordance with applicable laws and regulations.