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Developer Operations Infrastructure Engineer Jobs in Catonsville, MD

Apex Informatics

DevOps Engineer

Owings Mills, MD · On-site

$50.75 - $69.50/hr

The Sr. DevOps Engineer will be responsible for migrating the private cloud Apigee API management ... or Azure Strong infrastructure engineering experience Cloud application architecture ...

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 ... Automate infrastructure provisioning and management * Collaborate with development and operations ...

Intezra, Inc.

Infrastructure Engineer

Columbia, MD · On-site

$130K - $220K/yr

Infrastructure Engineer Columbia, MD | Full Time | TS/SCI with Polygraph Required Position ... Operations, Computer Networks, Cybersecurity, Information Security, Information Assurance, or ...

Navtech, Inc.

Azure DevOps Engineer

Rockville, MD · On-site

$53.75 - $73.75/hr

... Infrastructure and Development Teams in architecting and developing solutions from a DevOps ... perspective. Position Duties/Responsibilities • Administration and support of Azure DevOps, and ...

GIGATEC Engineering

Devops Engineer

Annapolis Junction, MD · On-site

$54 - $73.75/hr

GIGATEC Engineering is seeking a DevOps Engineer to play a key role in maintaining and enhancing their High Performance Computing system infrastructure. The role involves engineering automation tools ...

Leonardo DRS

Systems Engineer - DevOps

Germantown, MD · On-site

$75K - $98K/yr

Develop and maintain DevOps infrastructure in local-hosted air-gapped environment, managing physical and virtual test assets for internal users * Work with team leads to integrate legacy systems with ...

Leonardo DRS

Systems Engineer - DevOps

Germantown, MD · On-site

$75K - $98K/yr

Develop and maintain DevOps infrastructure in local-hosted air-gapped environment, managing physical and virtual test assets for internal users * Work with team leads to integrate legacy systems with ...

GIGATEC Engineering

Devops Engineer

Annapolis Junction, MD · On-site

$54 - $73.75/hr

What You'll Be Doing (We don't love the bullet points, but we love the work!) In this key DevOps ... Experience with IaC (Infrastructure as Code) concepts, principles and automation tools such as ...

Fuse Engineering

DevOps Engineer

Fort George G Meade, MD · On-site

$58.50 - $80.25/hr

The DevOps Engineer delivers automation, integration, and software engineering support for ... CI/CD concepts and infrastructure automation * Experience in secure, compliance-driven environments

Leonardo DRS

Systems Engineer - DevOps

Germantown, MD · On-site

$80 - $100/hr

Develop and maintain DevOps infrastructure in local-hosted air-gapped environment, managing physical and virtual test assets for internal users * Work with team leads to integrate legacy systems with ...

Worky

DevOps Engineer - Mid Level

Columbia, MD · On-site

$150 - $200/hr

Participate in DevOps initiatives and drive innovative automation and cloud-native solutions to ... Implement Infrastructure as Code (IaC) using Terraform/Ansible across AWS services. * Foster an ...

Fuse Engineering LLC

DevOps Engineer

Fort George G Meade, MD · On-site

$58.50 - $80.25/hr

Description The DevOps Engineer delivers automation, integration, and software engineering support ... CI/CD concepts and infrastructure automation * Experience in secure, compliance-driven environments

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Showing results 21-40

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

Developer Operations Infrastructure Engineer information

See Catonsville, MD salary details

$32

$59

$93

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 Catonsville, MD is $59.77, according to ZipRecruiter salary data. Most workers in this role earn between $52.07 and $59.57 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 Catonsville, MD are hiring for Developer Operations Infrastructure Engineer jobs?

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

Developer Operations Infrastructure Engineer jobs near you

AI Operations & Infrastructure Engineer with Security Clearance

Fort George G Meade, MD • On-site

Invictus
See more jobs at Invictusexternal

$119K - $156K/yr

Other

Re-posted 19 days ago

Key responsibilities

  • Manage and maintain AI computing platforms, including GPUs, hardware, and storage solutions.

  • Oversee the AI software stack, including installation, configuration, and management of containerization and workload orchestration tools.

  • Configure, optimize, and troubleshoot networking infrastructure and high-performance fabrics for AI workloads.

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

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