What You Will Do:
- Engineer AI-Powered Solutions: Design, build, and deploy intelligent agents within the Gobo Framework to automate complex federal workflows.
- Develop Robust APIs: Architect and consume secure, scalable RESTful APIs that serve as the backbone for mission-critical applications.
- Ensure Code Integrity: Implement comprehensive automated unit tests and end-to-end testing frameworks to maintain high reliability in high-stakes environments.
- Optimize Data Architecture: Develop and manage sophisticated data structures across relational databases and large-scale data warehouses.
- Implement Security-First Development: Incorporate proactive mitigations for web application security risks directly into the software development lifecycle.
- Drive Innovation: Collaborate with cross-functional teams to transform complex infrastructure requirements into elegant, automated software solutions.
Who You Are:
- You value engineering excellence and doing things the right way.
- You possess a deep understanding of full-stack web application development.
- You have a passion for building AI-driven agents and tools, and you view AI as a catalyst for professional growth and skills amplification. You build with AI every day, and you own every line of code produced. You can spot when a model is confidently wrong, and you do not ship what you cannot explain.
- You thrive at the intersection of rapid development velocity and strict security compliance.
- You are not just a programmer; you get involved with the entire SDLC, from requirements analysis and planning to implementation, testing, deployment, and long-term maintenance.
- You treat code reviews as engineering work rather than a formality.
- You are a collaborative problem-solver who enjoys direct interaction with colleagues and clients to solve complex challenges.
- You are a US citizen or Green Card holder willing and able to be cleared to the Top Secret level.
Required Technical Expertise:
- Python
- JavaScript and/or TypeScript
- Experience developing with agentic coding tools
- Experience developing automated unit tests and end-to-end tests
- Experience developing and consuming RESTful APIs
- Experience developing with relational databases and data warehouses
- Deep understanding of web application security risks and mitigations
- Experience debugging failures in a running production system using logs, traces, and metrics
Additional Preferences:
- Experience developing applications for cloud platforms such as Google Cloud Platform (GCP) or Amazon Web Services (AWS)
- Broad understanding of AI/ML technologies with the ability to identify and implement diverse, architecturally sound solutions beyond basic LLM prompting
- Exposure to networking and security concepts and technologies
- Experience with containerization (e.g., Docker) and container orchestration with Kubernetes
- An undergraduate or graduate degree in computer science or related field
