• 5+ years of professional software engineering experience, with a strong backend or systems background.
• Proven experience building LLM-powered applications beyond prototypes.
• Hands-on experience designing and implementing agentic systems, including agents, workflows, MCP-based tool integration, and RAG.
• Strong proficiency in Python (or similar agent-oriented languages) and experience building production APIs or services.
Experience designing systems with observability, evaluation, and operational ownership in mind.
Domain / Problem Space
You will work on agentic systems in the context of:
• Experience with internal developer portals like Backstage with associated patterns like GitOps, API-driven microservices, paved paths, and more
• Experience with design patterns in Kubernetes like controllers, control planes, operators, and more
• Work on container orchestration, infrastructure as code (IaC), and CI/CD pipelines for deploying and managing k8s instances.
• Monitor the performance of developer platform, identify potential issues, and ensure high availability of the platform.
• Using Infrastructure As Code (IAC) best practices, create automated infrastructure within the cloud and on-premise platform, including package management, application load and configuration, and systems monitoring and administration.
• Deliver improvements to source code management, deployment, operations, maintenance, cost control, security, monitoring, and audit tools and processes.
• Implement and maintain CI/CD tools and processes to support development, QA, and customer value realization teams.
• Manage a service critical codebase with version control using Git including Gitlab, or Github
• These domains require agents that operate on real, evolving data, integrate deeply