5-7 years of experience in full-stack web application development
Proficient in Python and JavaScript/TypeScript
Experience with agentic coding tools and RESTful API development
Skilled in automated unit and end-to-end testing
Deep knowledge of web application security practices
Familiarity with relational databases and large-scale data warehousing
Ability to troubleshoot production systems using logs and metrics
Responsibilities
Engineer AI-Powered Solutions for federal workflows
Develop secure and scalable RESTful APIs
Implement automated unit tests and testing frameworks
Optimize data architecture across databases and data warehouses
Incorporate security measures into the software development lifecycle
Drive innovation by collaborating with cross-functional teams
Transform infrastructure requirements into automated solutions
Benefits
Opportunity to work on high-stakes federal projects
Engagement with cutting-edge AI technologies
Collaboration with diverse, cross-functional teams
Potential for professional growth in automation and AI fields
Involvement in the entire software development lifecycle
Full Job Description
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
