Your key accountabilities are:
- Evaluate, implement, and continuously improve CI/CD tools, AI-assisted development workflows, and platform capabilities
- Configure and maintain CI/CD tools such as Jenkins, Artifactory, Bitbucket, and their infrastructure on GCP (Linux)
- Design and implement AI-powered developer productivity solutions, including:
- Developer assistants and AI agents for CI/CD, debugging, and operational tasks
- Automation of repetitive workflows using LLM-based tooling
- Work with Model Context Protocol (MCP) or similar frameworks to enable secure, structured interactions between AI systems and internal tools/services
- Build and maintain internal developer platforms that expose infrastructure and services via APIs and self-service capabilities
- Troubleshoot and resolve application and infrastructure issues across CI/CD and platform systems
- Collaborate with development teams to improve developer experience (DevEx), release velocity, and system reliability
- Partner with security and compliance teams to ensure safe adoption of AI, including data protection, access control, and auditability
- Develop and maintain documentation for CI/CD processes, platform services, and AI-enabled workflows
- Monitor, measure, and optimize system performance, cost, and usage patterns
