ZipRecruiter

Log In

1

Developer Operations Infrastructure Engineer Jobs in Columbia, MD

Booz Allen Hamilton, Inc.

DevSecOps Engineer

Arlington, VA · On-site

$62K - $141K/yr

As a DevOps infrastructure engineer at Booz Allen, you'll work closely with cloud architects and engineers to manage server configuration for modern cloud solutions. You'll sharpen your skills within ...

Booz Allen Hamilton

DevSecOps Engineer

Arlington, VA

$62K - $141K/yr

As a DevOps infrastructure engineer at Booz Allen, you'll work closely with cloud architects and engineers to manage server configuration for modern cloud solutions. You'll sharpen your skills within ...

Booz Allen Hamilton, Inc.

DevSecOps Engineer

Arlington, VA · On-site +1

$62K - $141K/yr

As a DevOps infrastructure engineer at Booz Allen, you'll work closely with cloud architects and engineers to manage server configuration for modern cloud solutions. You'll sharpen your skills within ...

Accenture Federal Services

DevOps Engineer

Arlington, VA · On-site

$60.75 - $83/hr

Accenture Federal Services is seeking an experienced DevOps Engineer with handson expertise in Kubernetes and modern containerized infrastructure to join our team and support our client in the ...

Phase2 Technology

DevSecOps Engineer

Arlington, VA · On-site

$100 - $125/hr

... for a DevOps infrastructure engineer to support our clients as they modernize their IT infrastructures and meet their most challenging missions. At Booz Allen, you'll work closely with cloud ...

Cymertek

DevOps Engineer

Annapolis Junction, MD · On-site

$54 - $73.75/hr

DevOps Engineer LOCATION Annapolis Junction, MD 20701 CLEARANCE TS/SCI Full Poly (Please note this ... Experience with infrastructure as code (IaC) * Knowledge of version control systems (e.g., Git)

Cymertek Corporation

DevOps Engineer

Reston, VA · On-site

$125 - $150/hr

DevOps Engineer LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note this position ... Experience with infrastructure as code (IaC) * Knowledge of version control systems (e.g., Git)

Cymertek

DevOps Engineer

Tysons, VA · On-site

$53 - $72.50/hr

DevOps Engineer LOCATION Tysons, VA 22182 CLEARANCE TS/SCI Full Poly (Please note this position ... Experience with infrastructure as code (IaC) * Knowledge of version control systems (e.g., Git)

System One

AWS Cloud Infrastructure Engineer

Mclean, VA · Remote

$110K - $144K/yr

Develop and enhance CI/CD pipelines and DevOps workflows using tools such as Git, Jenkins, AWS CodePipeline, Docker, and Terraform. Troubleshoot infrastructure, automation, deployment, and ...

System One

AWS Cloud Infrastructure Engineer

Mclean, VA · Remote

$110K - $144K/yr

Develop and enhance CI/CD pipelines and DevOps workflows using tools such as Git, Jenkins, AWS CodePipeline, Docker, and Terraform. Troubleshoot infrastructure, automation, deployment, and ...

System One

AWS Cloud Infrastructure Engineer

Mclean, VA · Remote

$110K - $144K/yr

Develop and enhance CI/CD pipelines and DevOps workflows using tools such as Git, Jenkins, AWS CodePipeline, Docker, and Terraform. Troubleshoot infrastructure, automation, deployment, and ...

System One

AWS Cloud Infrastructure Engineer

Mclean, VA · Remote

$110K - $144K/yr

Develop and enhance CI/CD pipelines and DevOps workflows using tools such as Git, Jenkins, AWS CodePipeline, Docker, and Terraform. Troubleshoot infrastructure, automation, deployment, and ...

System One

AWS Cloud Infrastructure Engineer

Mclean, VA · Remote

$110K - $144K/yr

Develop and enhance CI/CD pipelines and DevOps workflows using tools such as Git, Jenkins, AWS CodePipeline, Docker, and Terraform. Troubleshoot infrastructure, automation, deployment, and ...

System One

AWS Cloud Infrastructure Engineer

Mclean, VA · Remote

$110K - $144K/yr

Develop and enhance CI/CD pipelines and DevOps workflows using tools such as Git, Jenkins, AWS CodePipeline, Docker, and Terraform. Troubleshoot infrastructure, automation, deployment, and ...

previous pagenext page

Showing results 21-40

All JobsDeveloper Operations Infrastructure Engineer JobsDeveloper Operations Infrastructure Engineer Jobs in Columbia, MD

Developer Operations Infrastructure Engineer information

See Columbia, MD salary details

$34

$62

$98

How much do developer operations infrastructure engineer jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for developer operations infrastructure engineer in Columbia, MD is $62.70, according to ZipRecruiter salary data. Most workers in this role earn between $54.62 and $62.50 per hour, depending on experience, location, and employer.

What is the difference between Developer Operations Infrastructure Engineer vs DevOps Engineer?

AspectDeveloper Operations Infrastructure EngineerDevOps Engineer
CredentialsTypically requires software development and infrastructure certifications (e.g., AWS, Azure)Often holds certifications in cloud platforms, automation, and CI/CD tools
Work EnvironmentWorks closely with development and IT teams to build and maintain infrastructureCollaborates across development, operations, and QA teams to streamline deployment processes
Industry UsageCommon in tech companies focusing on scalable infrastructure and deploymentWidely used in organizations adopting DevOps practices for continuous integration and delivery

The Developer Operations Infrastructure Engineer focuses on building and maintaining infrastructure to support development workflows, often with a strong emphasis on automation and cloud services. The DevOps Engineer has a broader role, integrating development and operations to improve deployment frequency and reliability. While both roles overlap in automation and cloud skills, the Developer Operations Infrastructure Engineer is more infrastructure-centric, whereas the DevOps Engineer emphasizes process and culture transformation.

What does a developer operations infrastructure engineer do?

A developer operations infrastructure engineer designs, implements, and maintains the underlying systems and tools that support software development and deployment. They work with cloud platforms, automation, and configuration management to ensure reliable, scalable, and efficient infrastructure for development teams. Strong knowledge of scripting, networking, and monitoring tools is essential for this role.

What is a developer operations infrastructure engineer?

A developer operations infrastructure engineer is responsible for designing, implementing, and maintaining the underlying infrastructure that supports software development and deployment. They work with cloud platforms, automation tools, and scripting to ensure reliable, scalable, and efficient systems for development teams. Strong knowledge of CI/CD pipelines, containerization, and infrastructure-as-code is typically required.

What cities near Columbia, MD are hiring for Developer Operations Infrastructure Engineer jobs?

Cities near Columbia, MD with the most Developer Operations Infrastructure Engineer job openings:

Developer Operations Infrastructure Engineer jobs near you

AI Operations & Infrastructure Engineer

Fort George G Meade, MD • On-site

Invictus International Consulting
Guided Missile and Space Vehicle Manufacturing • 11 - 50 employees
Learn more about Invictus International Consultingexternal

$119K - $157K/yr

Full-time

Re-posted 18 days ago

Job description

Title: AI Operations & Infrastructure Engineer

Location: Fort Meade, MD

Clearance: TS/SCI with a CI Polygraph

Job Details:

  • Manage and maintain AI computing platforms, including GPUs and other specialized hardware
  • Install and configure GPU drivers and software
  • Oversee the AI software stack and tools
  • Implement and manage containerization technologies like Docker and Kubernetes
  • Configure and optimize networking infrastructure for AI workloads, including InfiniBand and Ethernet
  • Manage storage solutions for AI data, considering performance and capacity requirements
  • Deploy and manage data processing units (DPUs) to accelerate data center workloads
  • Monitor and manage AI cluster health and resource utilization
  • Implement workload management and scheduling tools like Slurm and Kubernetes
  • Ensure efficient power and cooling for AI infrastructure to maintain optimal operating conditions
  • Configure high-performance networking solutions for AI and machine learning workloads
  • Optimize network performance to ensure maximum throughput and minimal latency for AI computations
  • Implement and fine-tune network protocols to enhance data transfer speeds and efficiency
  • Integrate NVIDIA networking products with existing AI infrastructure, including servers, GPUs, and storage systems
  • Deploy networking solutions in data centers to ensure seamless connectivity between AI components
  • Diagnose and resolve networking issues impacting AI workloads to maintain optimal system performance
  • Provide technical support and guidance to teams managing AI infrastructure
  • Collaborate with data scientists, researchers, and IT professionals to understand networking requirements and challenges
  • Lead deployment and validation of servers and systems for AI enabled platforms
  • Configure and manage network topologies, BMC, OOB, TPM, power, and cooling
  • Install, upgrade, and validate GPU-based servers, BlueField DPUs, cables, and transceivers
  • Perform firmware upgrades, hardware validation, and storage setup
  • Configure and administer physical and logical resources, including M IG partitioning and BlueField platforms
  • Install and configure operating systems, cluster software, drivers, containers (Docker), and NGC CLI
  • Manage and orchestrate clusters using NVIDIA Base Command Manager, Slurm, Pyxis, Enroot, and Run: Ai
  • Perform stress, benchmarking, and burn-in tests using HPL, NCCL, NVIDIA Nemo, and ClusterKit
  • Verify cabling, firmware/software versions, and network signal quality
  • Troubleshoot and resolve hardware, software, storage, and performance faults
  • Replace faulty components and optimize systems for AMD/Intel platforms
  • Monitor, document, and report on cluster health, resource usage, and job performance
  • Ensure secure, efficient, and scalable operation of NVIDIA AI infrastructure, including user access and workload management

Requirements:

  • Qualified candidates must hold an active NVIDIA Professional Certification in either AI Networking, AI Infrastructure, or AI Operations
  • Prior direct, hands-on professional experience administering NVIDIA GPU and data processing unit (DPU) technologies, AI software stacks, and data center environments for high-performance AI workloads
  • Comprehensive expertise in deploying and maintaining AI compute platforms, requiring proficiency in containerization and workload orchestration using Docker, Kubernetes, Slurm, NVIDIA Base Command Manager, and Run:Ai
  • Must be capable of configuring physical and logical resources, including Multi-Instance GPU (MIG) partitioning and BlueField platforms, while overseeing critical facility elements such as power, cooling, and storage solutions
  • The ability to demonstrate advanced skills in AI networking, specifically configuring and optimizing high-performance InfiniBand and Ethernet fabrics to ensure maximum throughput and minimal latency
  • Current active TS/SCI clearance with a CI Polygraph

Equal Opportunity Employer/Veterans/Disabled

Apply