- Build and operate agent harness capabilities consumed by engineering teams across the enterprise
- Integrate agents with tools, APIs, and enterprise systems and make integrations reliable under real load
- Advance test automation and deliver code meeting security, observability, scalability, recoverability, and financial responsibility requirements
- Contribute to application and solution design with architects, product owners, and consuming teams
- Own assets end to end, including currency, vulnerability management, and production readiness
- Document work so others can build on it
- Deepen expertise in owned technologies
- Perform other duties as assigned
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
- 3+ years of hands-on software development experience, including code shipped and supported in production
- Proficiency in Python
- Exposure to TypeScript for AI integration work
- Hands-on experience building generative AI or agentic applications
- Experience using agentic coding tools
- Familiarity with orchestration loops, tool interfaces, context and memory management, and guardrails
- Hands-on experience with AWS and/or Azure cloud services
- Hands-on experience with containerization and orchestration tools, including Kubernetes
- Hands-on experience with CI/CD tooling such as GitHub Actions or Jenkins
- SME-level depth in at least one technical discipline
- Strong written and verbal communication
- Experience with AWS AgentCore or similar agentic runtimes and harness platforms
- Experience with Strands Agents, LangGraph, or similar open-source agent frameworks
- Experience with Terraform, CDK, or equivalent cloud infrastructure provisioning tools
- Experience with Helm for Kubernetes application deployment
- Experience with observability tooling and distributed tracing in production environments
- Bachelor's degree in computer science, related STEM field, or equivalent education and/or work experience
- 2 additional years of software engineering experience
Core Competencies
Demonstrates expertise in Python and TypeScript for AI integration, with hands-on experience in building generative AI applications and agentic solutions. Proficient in cloud services like AWS and Azure, containerization with Kubernetes, and CI/CD practices using tools such as GitHub Actions or Jenkins.
Highest-signal resume keywords
- Python Proficiency
- Generative AI Application Development
- AWS Cloud Services Experience
- Kubernetes Containerization
- CI/CD Tooling Expertise
ATS Optimization Keywords
Hard Skills
- Software Development
- Agentic Coding Tools
- Observability Tooling
- Distributed Tracing
- Terraform
- CDK
- Helm
- Orchestration Loops
- Context Management
- Memory Management
Soft Skills
- Strong Written Communication
- Strong Verbal Communication
Industry Keywords
- Test Automation
- Production Readiness
- Vulnerability Management
- Financial Responsibility
- Enterprise Systems Integration
Tools & Technologies
- AWS AgentCore
- Strands Agents
- LangGraph
- GitHub Actions
- Jenkins