About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, IT Services and IT Consulting.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

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What You’ll Do

Confidential Client is seeking a Software Engineer to design, build, and operate AI-powered solutions within a FedRAMP-authorized SaaS platform used by federal customers. You will work across the stack to deliver secure, reliable automation for mission-critical infrastructure workflows.

• Engineer AI-powered solutions and intelligent agents to automate complex federal workflows
• Design, develop, and consume secure, scalable RESTful APIs
• Write and maintain automated unit tests and end-to-end test suites
• Build and optimize data models for relational databases and data warehouses
• Embed security-first practices and mitigations into the SDLC
• Debug production issues using logs, traces, and metrics and drive long-term fixes
• Collaborate with product, security, and operations teams to transform requirements into robust, maintainable software

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Who You Are

• You prioritize engineering excellence and take ownership of quality
• Comfortable working across the full SDLC: planning, implementation, testing, deployment, and maintenance
• You build with AI responsibly — you can evaluate model output, detect when a model is confidently wrong, and avoid shipping unexplainable behavior
• You thrive at the intersection of rapid development and strict security/compliance controls
• A collaborative problem-solver who enjoys direct interaction with colleagues and clients
• U.S. citizen or lawful permanent resident; willing and able to obtain Top Secret clearance (note: some clearance levels may require U.S. citizenship)

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Required Technical Expertise

• Python
• JavaScript and/or TypeScript
• Experience developing with agentic coding tools or AI-driven development workflows
• Automated unit testing and end-to-end testing frameworks
• Developing and consuming RESTful APIs
• Experience with relational databases and data warehouses
• Deep understanding of web application security risks and mitigations
• Experience debugging production systems using logs, traces, and metrics

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Additional (Preferred) Skills

• Experience building on cloud platforms such as Google Cloud Platform (GCP) or Amazon Web Services (AWS)
• Broad understanding of AI/ML technologies beyond simple LLM prompting
• Exposure to networking and security technologies
• Experience with containerization (Docker) and orchestration (Kubernetes)
• Bachelor’s or advanced degree in Computer Science or a related field

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Location & Clearance

• Location: Reston, VA (on-site or as required by contract)
• This role supports federal customers and requires the ability to obtain/unlock a Top Secret (or equivalent) clearance.

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Compensation

• Base salary range (from source): $75,000 — $125,000 per year. Final compensation may vary based on experience, skills, and location.

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Why Apply via Careertakes

Careertakes is acting as a third-party recruiting partner for this role. We represent Confidential Client and follow best practices used by experienced third-party recruiters: we provide transparent job details, match you to similar roles, and help navigate the interview and clearance processes when applicable.

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Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.