About the Role

Most Important

• 5+ years of experience in software engineering, platform engineering, or internal developer platforms supporting enterprise-scale applications.

• Experience building and maintaining capability registries, developer portals, API catalogs, or service management platforms using structured metadata such as JSON Schema, YAML, or OpenAPI.

• Hands-on experience with AI agent architectures, onboarding workflows, tool orchestration, and evaluation frameworks such as LangSmith, Ragas, or Braintrust.

• Strong proficiency in Python or Go, with experience developing platform services, automation, registration pipelines, and API tooling.

• Experience working with AWS, PostgreSQL, Datadog, and modern orchestration platforms such as Initializ, Backstage, Temporal, or similar solutions.

Nice to Have

• Experience with Kong AI or enterprise AI gateway technologies.

• Familiarity with AI governance, compliance workflows, and enterprise approval processes.

• Experience implementing deployment promotion workflows, versioning strategies, and automated quality gates.

• Knowledge of platform analytics, telemetry, and usage metrics to measure adoption, capability reuse, and execution costs.

• Experience building self-service developer platforms or internal AI capability catalogs.

Personal Traits

• Strong ownership mindset with a passion for building scalable and reliable internal platforms.

• Analytical and data-driven, using platform insights to improve adoption and developer experience.

• Collaborative communicator who works effectively with Engineering, Product, Security, and Compliance teams.

• Detail-oriented with a strong focus on quality, governance, and operational excellence.

• Adaptable and comfortable working in fast-paced environments with evolving AI technologies and platform standards.