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Platform Engineer Jobs in Frederick, MD (NOW HIRING)

GenAI Test Automation Engineer

Potomac, MD

$47.50 - $62.75/hr

Experience with GitHub platform, CI/CD workflows, and automation pipelines. Key Responsibilities ... GitHub & DevOps * Strong experience with: * GitHub Copilot * GitHub Actions * CI/CD automation

Senior Software Engineer

Rockville, MD · Hybrid

$131K - $237K/yr

Support the development of distributed backend services, APIs, and platform microservices supporting enterprise AI operations. * Collaborate with multidisciplinary teams of analysts, engineers, and ...

Senior Software Engineer

Rockville, MD · On-site

$131K - $237K/yr

Support the development of distributed backend services, APIs, and platform microservices supporting enterprise AI operations. * Collaborate with multidisciplinary teams of analysts, engineers, and ...

Software Engineer SME (ServiceNow)

Dulles, VA · On-site

$54.75 - $75.25/hr

Design, develop, test, and deploy ServiceNow platform enhancements based on customer requirements ... Collaborate with ServiceNow engineers and stakeholders to implement system updates and ...

DevSec/Ops Engineer

Rockville, MD · On-site

$107K - $195K/yr

This program is at the forefront of deploying enterprise-scale AI, data, and mission platform ... As a DevSecOps Engineer, you will : * Support the development of secure CI/CD implementation ...

Software Engineer SME (ServiceNow)

Dulles, VA · On-site

$53.50 - $73.50/hr

What will you do? • Design, develop, test, and deploy ServiceNow platform enhancements based on ... engineers and stakeholders to implement system updates and configuration changes • Identify ...

NoSql Database Engineer

Gaithersburg, MD · On-site

$107K - $195K/yr

As an Nosql Database Engineer, you'll be a member of our platform engineering team and help develop, deploy and maintain nosql databases as foundational elements of our microservice eco-system using ...

NoSql Database Engineer

Rockville, MD · On-site

$107K - $195K/yr

As an Nosql Database Engineer, you'll be a member of our platform engineering team and help develop, deploy and maintain nosql databases as foundational elements of our microservice eco-system using ...

Software Engineer SME (ServiceNow)

Dulles, VA

$53.50 - $73.50/hr

What will you do? • Design, develop, test, and deploy ServiceNow platform enhancements based on ... engineers and stakeholders to implement system updates and configuration changes • Identify ...

Contingent AI Engineer - Top Secret

Rockville, MD · On-site

$116K - $140K/yr

Contribute to the integration of AI, DevSecOps, data engineering, platform engineering, cybersecurity, and observability in a fast-paced, engineering-centric environment. What You Bring: * Bachelor ...

Senior Data Engineer

Gaithersburg, MD · On-site

$131K - $237K/yr

You'll play a critical role in developing a future state AI-managed DOMEX Data Discovery Platform (D3P) and DIA-NDOC's mission. As a key technical leader, you will collaborate with talented engineers ...

Senior Data Engineer

Rockville, MD · On-site

$131K - $237K/yr

You'll play a critical role in developing a future state AI-managed DOMEX Data Discovery Platform (D3P) and DIA-NDOC's mission. As a key technical leader, you will collaborate with talented engineers ...

Showing results 41-60

Platform Engineer information

See Frederick, MD salary details

$32

$63

$94

How much do platform engineer jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for platform engineer in Frederick, MD is $63.59, according to ZipRecruiter salary data. Most workers in this role earn between $50.19 and $73.37 per hour, depending on experience, location, and employer.

What is a platform engineer?

A platform engineer writes code that bridges the gap between software and hardware and tests the system so that it runs effectively and smoothly. In this career, you are a vital part of the software and hardware industries. You run diagnostics tests to verify the correct design of hardware, which usually means writing code for manufacturing diagnostics so that the testing of the hardware takes place automatically. The qualifications needed for a career as a platform engineer include a bachelor’s degree in computer science or an associate’s degree and relevant work experience.

Do platform engineers make good money?

Platform engineers typically earn competitive salaries that vary based on experience, location, and industry. In many regions, they can expect to earn above-average wages, especially with skills in cloud computing, automation, and scripting. Certifications and expertise in tools like Kubernetes or AWS can also positively impact earning potential.

What are the key skills and qualifications needed to thrive as a platform engineer, and why are they important?

To thrive as a Platform Engineer, you need a solid background in computer science, systems architecture, and cloud infrastructure, often supported by a relevant degree or equivalent experience. Familiarity with containerization tools (like Docker and Kubernetes), infrastructure-as-code platforms (such as Terraform), and cloud services (AWS, Azure, or GCP) is typically required, along with relevant certifications. Strong problem-solving skills, collaboration, and effective communication help Platform Engineers drive reliability and innovation within technical teams. These competencies are crucial for building scalable, secure, and efficient platforms that support an organization's technology needs.

How does a platform engineer typically collaborate with development and operations teams?

Platform Engineers work closely with both development and operations teams to design, build, and maintain scalable infrastructure and deployment pipelines. They often serve as a bridge, ensuring that applications can be deployed reliably and efficiently while meeting the requirements of both teams. Regular communication is key, as Platform Engineers gather feedback from developers about tooling needs and coordinate with operations to uphold system stability and security. This collaborative environment fosters automation, streamlines workflows, and supports continuous delivery practices.

What is the difference between Platform Engineer vs DevOps Engineer?

AspectPlatform EngineerDevOps Engineer
CredentialsBachelor's in CS or related field, often cloud certificationsBachelor's in CS, DevOps certifications (e.g., Docker, Kubernetes)
Work EnvironmentDesigning and building platform infrastructure, working with cloud servicesAutomating deployment, CI/CD pipelines, and system operations
Industry UsageTech companies, cloud providers, SaaS firmsSoftware development, IT operations, cloud services

Platform Engineers focus on creating and maintaining the underlying infrastructure and platforms, while DevOps Engineers streamline development and deployment processes through automation. Both roles collaborate closely but have distinct focuses within the software development lifecycle.

What are popular job titles related to Platform Engineer jobs in Frederick, MD?

For Platform Engineer jobs in Frederick, MD, the most frequently searched job titles are:

What job categories do people searching Platform Engineer jobs in Frederick, MD look for?

The top searched job categories for Platform Engineer jobs in Frederick, MD are:

What cities near Frederick, MD are hiring for Platform Engineer jobs?

Cities near Frederick, MD with the most Platform Engineer job openings:

Infographic showing various Platform Engineer job openings in Frederick, MD as of August 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $132,264 per year, or $63.6 per hour.

GenAI Test Automation Engineer

PB consulting

Potomac, MD

$47.50 - $62.75/hr

Full-time

Posted 17 days ago


Job description

We are seeking a Senior GenAI Test Automation Engineer with strong experience in AI development, agentic workflows, and intelligent test automation. The ideal candidate will design AI-powered testing solutions, build reusable automation frameworks, and integrate Generative AI capabilities into software quality processes.

Required Qualifications
  • 5+ years of experience in AI development, software engineering, or test automation.
  • Hands-on experience building LLM-powered agents and agentic workflows.
  • Experience using Generative AI tools such as GitHub Copilot and Claude.
  • Strong knowledge of AI-driven test automation, workflow automation, and quality engineering practices.
  • Experience with GitHub platform, CI/CD workflows, and automation pipelines.
Key Responsibilities
  • Design and implement reusable agentic testing frameworks for automated test generation, maintenance, failure analysis, and defect reporting.
  • Develop AI-powered solutions for requirements validation, test case generation, and quality insights.
  • Build automated reporting solutions by aggregating test results, service data, logs, and defect information.
  • Create AI-based quality gates to validate requirements, acceptance criteria, test coverage, and dependencies.
  • Establish test automation standards, templates, and best practices across teams.
Required Technical Skills

GenAI / LLM / Agent Development

  • Experience building LLM-based agents with tool usage, structured outputs, guardrails, and prompt engineering.
  • Experience designing AI workflows for test generation, analysis, and reporting.

Automation & Testing

  • Strong experience with test automation frameworks such as:
    • Karate (API testing, contract testing, data-driven testing)
    • Playwright (UI automation, selectors, parallel execution)
  • Knowledge of test strategy, coverage, regression testing, and defect analysis.

GitHub & DevOps

  • Strong experience with:
    • GitHub Copilot
    • GitHub Actions
    • CI/CD automation
    • Pull request checks and workflow integrations
    • GitHub APIs/webhooks
Preferred Skills
  • Experience with microservices architectures.
  • Experience building AI-assisted engineering tools.
  • Knowledge of cloud platforms, DevOps practices, and Agile methodologies.
Deliverables
  • AI-powered agentic testing automation framework.
  • GenAI-driven reporting and quality insights.
  • Automated quality gates integrated into development workflows.
  • Standardized testing guidelines and reusable templates.