In this role, you will:

• Architect, implement, and continually optimize secure, scalable CI/CD pipelines (Jenkins, etc).
• Design and operate cloud (GCP, Azure) and IKP based microservices infrastructure (GKE, Artifact/Container registries).
• Build robust automation in Python and Groovy (Jenkins shared libraries, custom CLI tools, API integrations).
• Containerize and operationalize services: vulnerability scanning, progressive rollout (blue/green, canary).
• Advance Kubernetes governance (RBAC, network policies, pod security, autoscaling, cost & quota strategies).
• Integrate AI/GenAI accelerators (e.g., intelligent test selection, pipeline log summarization, anomaly detection, knowledge bots).
• Own release orchestration: environment promotion, artifact integrity, rollback safety, change governance.
• Lead blameless postmortems; automate recurring remediation tasks.
• Mentor engineers; codify best practices into reusable templates, libraries, and runbooks.
• Curate and energize a GenAI Community of Practice (CoP) to scale responsible AI-driven operational gains.

To be successful in this role, you should meet the following requirements:

• 12+ years progressive DevOps / Platform / SRE / Software Engineering experience.
• Strong, current GCP or IKP hands-on expertise (compute, networking, IAM, managed services).
• Expert-level Python (automation frameworks, APIs, tooling) and Groovy (advanced Jenkins pipeline DSL & shared libraries).
• Deep Jenkins mastery: Declarative & Scripted pipelines, matrix/parallel builds, dynamic agents, pipeline security.
• Proven microservices platform delivery (service discovery, config, resilience, API gateways).
• Production-grade Kubernetes (cluster design, multi-tenant controls, ingress, secrets, Helm).
• Strong automation mindset: infra-as-code, config-as-code, policy enforcement, testable modules.
• Security-first orientation: secrets management (Vault / GCP Secret Manager), vulnerability remediation.
• Excellent communication and presentation skills across technical and executive audiences.
• GCP (GKE, IAM, Logging/Monitoring), Jenkins, Terraform, Helm, Kustomize, Python, Groovy, Bash, Docker, Git (semantic versioning, branching strategies), AI/GenAI SDKs/APIs.
• Strong presentation skills, written and verbal communication; tailors depth to audience.
• Doer mindset: bias for action, rapid iterative improvement with quality control.
• Collaborative influencer across product, security, data, leadership.
• Outcome-focused: balances velocity, reliability, security, and cost.
• Ownership & accountability end-to-end.
• Growth mindset; continuous learning and experimentation.