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Weekend Performance Engineer Jobs in Columbia, MD

About the Role As a Senior Performance Software Engineer, you will serve as a technical leader for performance testing, data generation frameworks, standards, and optimization initiatives across the ...

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Mechanical Engineer 4 DAY WORK WEEK- 3 DAY WEEKENDS Are you a Mechanical Design Engineer with a passion for motorsports and high-performance engineering? Do you want to design components that power ...

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Engineer DC 3rd

Washington, DC · On-site

$52.66/hr

... performance. * Engineers preform tours and daily watches to monitor safe system operations and ... Day, Second, and Third shifts. (Monday - Friday and Weekends) Salary : $52.66 per hour You Should ...

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Weekend Performance Engineer information

See Columbia, MD salary details

$10

$59

$97

How much do weekend performance engineer jobs pay per hour?

As of Jul 19, 2026, the average hourly pay for weekend performance engineer in Columbia, MD is $59.65, according to ZipRecruiter salary data. Most workers in this role earn between $48.89 and $67.50 per hour, depending on experience, location, and employer.

What is the difference between Weekend Performance Engineer vs Weekend Network Engineer?

AspectWeekend Performance EngineerWeekend Network Engineer
Primary FocusSystem performance, application optimization, and server efficiencyNetwork infrastructure, connectivity, and network security
Required SkillsPerformance testing, troubleshooting, server managementNetwork protocols, hardware setup, troubleshooting network issues
CertificationsPerformance-related certifications (e.g., AWS, Linux)Network certifications (e.g., Cisco CCNA, CompTIA Network+)
Work EnvironmentData centers, cloud environments, IT departmentsNetwork operation centers, enterprise IT settings

The Weekend Performance Engineer and Weekend Network Engineer roles share similarities in working during weekends and requiring technical certifications. However, the Performance Engineer focuses on optimizing system and application performance, while the Network Engineer specializes in maintaining and troubleshooting network infrastructure. Both roles are essential in IT operations but serve different technical domains.

What are popular job titles related to Weekend Performance Engineer jobs in Columbia, MD? For Weekend Performance Engineer jobs in Columbia, MD, the most frequently searched job titles are:
What job categories do people searching Weekend Performance Engineer jobs in Columbia, MD look for? The top searched job categories for Weekend Performance Engineer jobs in Columbia, MD are:
What cities near Columbia, MD are hiring for Weekend Performance Engineer jobs? Cities near Columbia, MD with the most Weekend Performance Engineer job openings:

SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

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Job description

Varen, an SAIC Company is seeking an AI Engineer - SETA to join our team.  This position is located in Columbia, MD and requires a TS/SCI with polygraph.

The AI Engineer - SETA wil provide technical advisory support for the design, evaluation, and advancement of AI-enabled applications, tools, and workflows. This role is intended for a hands-on technical professional who understands how modern AI systems are built and can help guide teams developing practical solutions using large language models, agentic workflows, orchestration frameworks, and supporting software infrastructure.
The right candidate is a builder at heart-someone who explores new frameworks, prototypes ideas, and continuously teaches themselves emerging techniques. Curiosity and passion matter greatly in this role. We want someone who follows the fast-moving AI ecosystem because they genuinely enjoy it, not just because the job requires it.

Key Responsibilities:

  • Provide SETA support to government teams developing or assessing AI-enabled applications and tools.
  • Advise on technical approaches for AI application design, prototyping, integration, and evaluation.
  • Assess solutions involving LLMs, retrieval-augmented generation, tool use, agentic workflows, orchestration layers, prompt pipelines, and evaluation harnesses.
  • Support the review of architectures, development approaches, model usage patterns, and technical risk areas.
  • Advise on AI engineering considerations such as latency, reliability, observability, testability, guardrails, data flow, and system integration.
  • Evaluate and compare modern AI frameworks, agentic libraries, and experimentation harnesses for suitability in mission use cases.
  • Assist with the development of technical guidance, prototypes, engineering recommendations, and briefings for government stakeholders.
  • Support test and evaluation activities for AI tools, including performance assessment, qualitative review, and workflow validation.
  • Collaborate with platform engineers, product leads, mission users, and government leadership to ensure AI efforts remain technically grounded and operationally relevant.
  • Stay current on rapid changes in the AI ecosystem and provide informed recommendations on emerging tools and practices.
SAIC is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.

We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.
  • Bachelors and eighteen (18) years or more experience; Masters and sixteen (16) years or more experience; PhD or JD and fifteen years or more experience.
  • Experience designing, building, integrating, or evaluating AI/ML-enabled applications or software tools.
  • Familiarity with modern AI application patterns, including LLM-based applications, RAG, prompt engineering, agentic systems, and AI-assisted workflows.
  • Working knowledge of one or more agentic or orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, Haystack, LlamaIndex, or similar ecosystems.
  • Experience with software development fundamentals, APIs, data handling, and system integration.
    Ability to assess technical tradeoffs and communicate them clearly to both engineers and government stakeholders.
  • TS/SCI with Poly required.

Desired, but not required:

  • Experience with Python, JavaScript/TypeScript, or similar languages commonly used in AI application development.
  • Familiarity with vector databases, embeddings, model APIs, evaluation frameworks, and agent testing harnesses.
  • Exposure to model hosting, inference pipelines, or cloud-based AI development environments.
    Understanding of secure AI development practices, data protection, and operational constraints in government settings.
  • Experience supporting defense, cyber, intelligence, or mission application development.
  • Familiarity with human-in-the-loop workflows, AI assurance, and evaluation methodologies.

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