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Contract Reliability Engineer Jobs in Maryland (NOW HIRING)

DevOps Engineers

Fort George G Meade, MD ยท On-site

$58.50 - $80.25/hr

Provide support across contract and partners with the IC community when tools support users outside ... (SRE) principles and applications * Experience with Linux cluster/node monitoring tools

DevOps Engineers

Annapolis Junction, MD ยท On-site

$54 - $73.75/hr

Provide support across contract and partners with the IC community when tools support users outside ... (SRE) principles and applications * Experience with Linux cluster/node monitoring tools

Showing results 41-60

Contract Reliability Engineer information

See Maryland salary details

$59.2K

$114.5K

$136.8K

How much do contract reliability engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for contract reliability engineer in Maryland is $114,497.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,500.00 and $125,200.00 per year, depending on experience, location, and employer.

What is a contract reliability engineer?

A Contract Reliability Engineer is a professional hired on a temporary or project basis to ensure the reliability, availability, and maintainability of systems, equipment, or processes. They analyze failure data, perform root cause analysis, and implement strategies to improve system performance. This role often involves collaborating with maintenance teams, design engineers, and operations personnel to optimize asset life and reduce downtime. Contract roles may vary in duration and scope, depending on the project's needs.

What are the typical projects or responsibilities for a contract reliability engineer?

As a Contract Reliability Engineer, your responsibilities usually revolve around conducting reliability assessments, analyzing failure data, and implementing preventative maintenance strategies for client equipment or systems. You might be tasked with performing root cause analysis, recommending design improvements, and supporting maintenance teams in optimizing asset performance. Projects can vary widely by industry but often involve collaborating with operations, quality, and engineering teams to identify reliability risks and drive continuous improvement. This dynamic role provides the opportunity to work on diverse assignments, enhance problem-solving skills, and make a tangible impact on client operations.

What are the key skills and qualifications needed to thrive in the contract reliability engineer position, and why are they important?

To thrive as a Contract Reliability Engineer, you need a strong background in reliability engineering principles, statistical analysis, and mechanical or electrical systems, often supported by an engineering degree and relevant project experience. Familiarity with reliability software (such as Weibull analysis tools), FMEA, and certifications like Certified Reliability Engineer (CRE) are highly valued. Exceptional communication, problem-solving, and project management skills are important for collaborating with cross-functional teams and clearly conveying technical findings. These abilities are essential for ensuring equipment reliability, minimizing downtime, and delivering measurable value to clients on a contractual basis.

What are the most commonly searched types of Reliability Engineer jobs in Maryland?

The most popular types of Reliability Engineer jobs in Maryland are:

What are popular job titles related to Contract Reliability Engineer jobs in Maryland?

For Contract Reliability Engineer jobs in Maryland, the most frequently searched job titles are:

What job categories do people searching Contract Reliability Engineer jobs in Maryland look for?

The top searched job categories for Contract Reliability Engineer jobs in Maryland are:

What cities in Maryland are hiring for Contract Reliability Engineer jobs?

Cities in Maryland with the most Contract Reliability Engineer job openings:

Software Engineer I - Inference with Security Clearance

Black Eagle Defense

Fort George G Meade, MD โ€ข On-site

$124K - $181K/yr

Other

Posted 19 hours ago

Posted today


Job description

Job Description SALARY RANGE $124,000 - $181,000/year. DUTIES As a successful candidate for the Software Engineer I - Inference role, you will join our AI infrastructure team to build and maintain the foundation for customer AI capabilities while supporting a broader ecosystem of AI-enabled applications. Your primary focus will be ensuring seamless access to the highest quality large language models (LLMs) throughout the inference software stack. Operating in a dynamic environment where requirements shift as mission needs evolve and new technologies emerge, you will continuously sharpen your skills and turn loosely defined problems into impactful, working solutions. Required Skills SKILLS * Procure, configure, and test new inference models to prepare them for seamless release to the user base
* Develop in-house services and techniques to guarantee continuous, high-quality inference performance
* Partner with model vendor teams to establish reliable integration pipelines for closed-source models
* Collaborate with teammates on surge efforts to address high-priority, short-term customer inference demands
* Engage with cross-functional teams to build resilient service infrastructure and integrate LLM-powered tools for end-user needs QUALIFICATIONS Three (3) years' experience as a SWE in programs and contracts of similar scope, type, and complexity is required. A Bachelor's degree in Computer Science or a related discipline from an accredited college or university is required. Four (4) years of additional SWE experience on projects with similar software processes may be substituted for a bachelor's degree. Additional Requirements: * Develop with Python and other modern programming languages
* Utilize Argo CD or other modern CI/CD frameworks
* Deploy and manage containerized applications using Kubernetes and Helm
* Operate within AWS or other major cloud service provider environments
* Demonstrate a proven ability to rapidly learn and adopt emerging technologies
* Communicate clearly and collaborate proactively to address technical and mission needs Desired Skills NICE-TO-HAVES * Leverage vLLM, LiteLLM, or similar inference-serving frameworks
* Apply modern LLM hosting frameworks and deployment practices
* Support production software using Site Reliability Engineering (SRE) best practices
* Utilize Elastic, Grafana, Prometheus, or other observability frameworks
* Package and manage applications using Docker and containerization
* Implement traffic shaping and quality-of-service engineering strategies
* Demonstrate strong interest and foundational knowledge in hosting AI capabilities