Role and Responsibilities:

• Develop, maintain, and extend GitHub Actions–based CI/CD workflows used across engineering community;
• Implement new checks, validations, and automation logic primarily using Python,
  GitHub Actions YAML, Docker, and container-based execution environments;
• Perform lifecycle management (LCM);
• Maintain and improve monitoring dashboards (Splunk; Grafana);
• Provide support to internal engineers using workflows and tooling;
• Review PRs, guide technical design, and help users contribute high-quality improvements;
• Translate user needs into scalable, maintainable automation solutions;
• Build and maintain cloud infrastructure using Kubernetes, GCP, Terraform, and
  Go;
• Ensure reliable container-based execution environments for CI workloads;
• Leverage Kubernetes knowledge to optimize workflow runtime environments and
  debug pipeline execution issues;
• Lead technical innovation to boost developer productivity and reduce CI friction.
• Experiment with new technologies and bring validated ideas into production.

Requirements

Technology Stack:

• Strong experience with GitHub Actions, YAML workflows, and Git-based development;
• Proficiency in Python for automation tooling;
• Solid knowledge of Docker, container execution models, and pods;
• Experience with Kubernetes (core concepts, workloads, debugging);
• Familiarity with monitoring/observability tools (Splunk, Grafana);
• Strong troubleshooting and problem-solving skills.

Good-to-Have:

• Experience with Go, Rust, or multi-language tooling ecosystems;
• Terraform, GCP IAM, or cloud networking experience;
• Exposure to inner-source contribution models;
• Experience with AI-assisted development workflows;
• Understanding of large-scale CI/CD systems.