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Infrastructure Testing Jobs in Laurel, MD (NOW HIRING)

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Infrastructure Engineer

Hyattsville, MD · On-site

$107K - $141K/yr

On an on-going basis, this position will design infrastructure components, maintain and monitor ... failover testing Knowledge of storage systems (SAN, NAS, etc.) Ability to produce system ...

OpenDataJobs

Cloud Infrastructure Engineer Role

Washington, DC · On-site

$121K - $159K/yr

The work Cloud Infrastructure Engineers build and operate the shared technical foundation on which ... Some environments may require evidence of resilience engineering, recovery testing, shared-service ...

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Infrastructure Testing information

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How much do infrastructure testing jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for infrastructure testing in Laurel, MD is $27.77, according to ZipRecruiter salary data. Most workers in this role earn between $21.68 and $30.05 per hour, depending on experience, location, and employer.

What is infrastructure testing?

Infrastructure testing is the process of evaluating and validating the components that make up an organization's IT infrastructure, such as networks, servers, databases, and hardware, to ensure they are secure, reliable, and perform as expected. This testing identifies vulnerabilities, configuration issues, or performance bottlenecks before they can impact business operations. It often includes security assessments, load testing, disaster recovery drills, and compliance checks. By regularly conducting infrastructure testing, organizations can minimize downtime, enhance security, and ensure regulatory compliance.

What are the key skills and qualifications needed to thrive as an infrastructure testing professional, and why are they important?

To thrive in Infrastructure Testing, you need a solid understanding of networking concepts, operating systems, and security protocols, often supported by certifications like CompTIA Security+ or Certified Ethical Hacker (CEH). Familiarity with testing tools such as Nmap, Wireshark, Metasploit, and vulnerability scanners is essential for identifying and mitigating risks. Strong analytical thinking, attention to detail, and effective communication skills help professionals interpret results and collaborate with cross-functional teams. These abilities are crucial for ensuring robust, secure, and high-performing IT infrastructures.

What are some common challenges faced by professionals in infrastructure testing, and how can they be addressed?

Professionals in Infrastructure Testing often encounter challenges such as ensuring comprehensive test coverage across complex, multi-layered environments and keeping pace with rapidly evolving technologies. Another frequent challenge is coordinating tests across various teams, including network, security, and application teams, to ensure seamless integration and performance. Addressing these challenges typically involves adopting robust automation tools, maintaining clear communication channels among stakeholders, and continuously updating testing methodologies to align with current best practices. Staying proactive and collaborative helps mitigate risks and ensures high-quality infrastructure.

What is the difference between Infrastructure Testing vs Network Testing?

AspectInfrastructure TestingNetwork Testing
FocusEvaluates hardware, servers, storage, and overall system infrastructureAssesses network performance, security, and connectivity
Skills & CertificationsIT infrastructure, cloud platforms, certifications like CompTIA Server+Networking protocols, Cisco certifications, CCNA
Work EnvironmentData centers, server rooms, cloud environmentsNetwork operations centers, enterprise networks
Industry UsageIT companies, data centers, cloud providersTelecom, IT, cybersecurity firms

While both roles involve testing within IT environments, Infrastructure Testing focuses on the overall hardware and system setup, whereas Network Testing concentrates specifically on network performance and security. Understanding these differences helps organizations ensure both their infrastructure and network are optimized and secure.

What job categories do people searching Infrastructure Testing jobs in Laurel, MD look for?

The top searched job categories for Infrastructure Testing jobs in Laurel, MD are:

Infrastructure Testing jobs near you

Senior Software Engineer, Applied AI

Cato Institute

Washington, DC • On-site

$100K - $190K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 22 days ago

Job description

Job Type
Full-time
Description
The Cato Institute seeks qualified candidates for the Senior Software Engineer, Applied AI position. Cato is building two technology platforms in parallel, a React-powered Next.js content platform and a Python research and operations platform, and both need an engineer who can move between them. Features, infrastructure, testing, AI integration: The work goes where the need is.
That cross-platform expectation is practical: Cato's development environments run on AI agent orchestration with structured reasoning frameworks, automated quality enforcement, and strict type systems that catch mistakes before the engineer does. The role does not require years of experience in both TypeScript and Python. It requires strong engineering fundamentals and comfort working inside an AI-empowered development loop, as well as building and improving the agent skills undergirding it.
The Senior Software Engineer joins a small, technically ambitious team working at the intersection of policy scholarship with modern software engineering and AI-integrated workflows.
The projected salary range for this role is $100,000 - $190,000 per year.
Compensation is based on the successful candidate's educational background, experience, and skills.
About Cato
The Cato Institute is a public policy research organization - a think tank - dedicated to the principles of individual liberty, limited government, free markets, and peace. Its scholars and analysts conduct independent, nonpartisan research on a wide range of policy issues.
Founded in 1977, Cato owes its name to Cato's Letters , a series of essays published in 18th-century England that presented a vision of a society free from excessive government power. Those essays inspired the architects of the American Revolution. And the simple, timeless principles of that revolution - individual liberty, limited government, and free markets - turn out to be even more powerful in today's world of global markets and unprecedented access to information than Jefferson or Madison could have imagined. Social and economic freedom is not just the best policy for a free people, it is the indispensable framework for the future.
Cato Institute is an Equal Opportunity Employer.
Responsibilities
  • Build and maintain sophisticated agent skills and agentic tooling that integrate AI across engineering and operational workflows
  • Integrate AI content retrieval systems, such as Sanity's Agent Context, into production workflows
  • Build services (e.g., API and MCP endpoints) that surface Cato's 50 years of policy research for diverse consuming applications
  • Build and extend features, components, and shared packages across both the TypeScript / React content platform and the Python research and operations platform
  • Extend and harden core infrastructure packages across both platforms: API client integration, streaming data pipelines, document processing, and structured logging
  • Maintain testing infrastructure across both platforms, closing coverage gaps and integrating tests into continuous integration workflows

Likely Initial Focus Areas (First 6 - 12 Months)
  • Contribute to the content platform's march toward production, picking up feature work, migration tasks, and building pipeline improvements
  • Develop familiarity with both codebases through Cato's AI development infrastructure - project instruction files, quality enforcement hooks, and structured reasoning frameworks that provide persistent architectural context and catch errors in real time
  • Build out test suites for both platforms, prioritizing high-dependency packages and critical paths

Requirements
Education and Experience
  • Bachelor's degree in any field
  • 5+ years of professional software engineering experience, including work on production systems
  • Expertise with multiple major LLMs: Claude, ChatGPT, and/or Gemini
  • Expertise with agentic AI development tools (Claude Code, Codex, or similar), including authoring reusable agent capabilities - agent skills, structured workflows, and tool integrations - not just using them
  • Proficiency in TypeScript / React or Python, with demonstrated ability to work productively in languages and frameworks outside your primary expertise
  • Experience building or integrating LLM-enabled systems - prompt engineering, retrieval-augmented generation, tool use, or evaluation pipelines
Knowledge and Skills
  • Strong software engineering fundamentals: testing, version control, CI/CD, code review, and systems design
  • Comfort working across the stack - backend services, frontend components, data pipelines, and build infrastructure
  • Clear written and verbal communication; ability to document systems and explain technical decisions to non-engineers
  • Self-directed, adaptable, and comfortable with ambiguity in a small team where priorities shift
  • Familiarity with Cato's work or demonstrated interest in public policy
Preferred Qualifications
  • Familiarity with headless CMS platforms, content modeling, or structured content systems
  • Experience building streaming or pipeline-based data processing systems
  • Experience with AI output evaluation frameworks or quality benchmarking tools
  • Experience authoring and maintaining agent skills (such as Claude/Claude Code Skills) or comparable agentic workflow packages
  • Familiarity with think tank, research, government, or academic technology environments

Benefits
All Cato employees are offered the following benefits:
  • Medical, dental, and vision insurance
  • Employer contribution to a Health Savings Account (HSA)
  • Generous vacation and sick days
  • Paid parental leave
  • Employer-provided life and disability insurance
  • 401(k) employer match
  • Transit/Parking benefits
  • Pet discount plan

To Apply
Please submit the following materials :
  • Resume or CV
  • A cover letter making the case, to yourself as much as to us, for why this particular job at this particular organization. Go beyond ATS-focused keyword slop and get real.
  • Optional: links to code repositories, personal projects, or technical writing

Applicants must be currently authorized to work in the United States on a full-time basis. This position does not offer visa sponsorship.

Apply