Description

Build and maintain cloud-native AI applications, APIs, and automation pipelines while integrating secure, scalable systems across agencies.

This role is on-site.

Responsibilities

• Deliver high-quality applications, APIs, Model Context Protocol (MCP) components, and automation using cloud-native architectures.
• Develop rapid prototypes, pilots, and production systems using modern engineering patterns.
• Integrate systems across agencies using secure, scalable, human-in-the-loop workflows.
• Implement DevSecOps automation including CI/CD, Infrastructure as Code (IaC), container orchestration, and cloud pipelines.
• Troubleshoot complex production issues, lead root-cause analysis, and mentor agency developers to reduce vendor reliance.

Required Skills

• 5+ years of experience in software engineering or AI/ML development.
• Strong proficiency in CI/CD pipeline implementation and management.
• Hands-on experience with Infrastructure as Code (IaC) tools and practices.
• Proven ability to design and build robust APIs.
• Experience deploying AI-enabled development workflows and LLM-assisted capabilities.
• Comfortable working across cloud environments and internal enterprise systems.
• Bachelor's degree in Computer Science or related field.

Preferred Skills

• Experience with Model Context Protocol (MCP).
• Background in human-in-the-loop workflow design.

Key Skills

Education

Bachelor's degree