Senior Team Lead | Engineering, AI & Data - Engineering | GCP (Bengaluru, IN)

Engineering helps Reimagine and re-engineer mission-critical operations and processes; Leverage engineering-led design, deep industry knowledge, and AI and data-driven insights to transform the technology platforms at the heart of business.

Working alongside team, we empower and drive mission-critical solutions whether we need to modernize existing systems or implement new technology products and platforms. Through innovation, we improve financial performance, accelerate new digital businesses and fuel growth. Learn more about Engineering, AI and Data

You’ll lead cloud-native engineering, automation, CI/CD, and platform operations across Google Cloud Platform (GCP). This role is ideal for a hands-on leader with strong DevOps, SRE, and platform engineering expertise who can drive automation-first delivery, improve reliability, and accelerate application modernization across the enterprise.

The ideal candidate brings deep GCP experience, strong infrastructure and DevOps engineering skills, and the ability to guide teams, define standards, and operate GCP environments at scale.

Lead DevOps engineering for GCP, including CI/CD pipelines, automation frameworks, and GitOps adoption.

Design and implement highly available, scalable, and secure GCP architectures using Compute Engine, GKE, Cloud Run, Cloud Functions, VPC, Cloud SQL, BigQuery, and related services.

Own GCP Landing Zone, infrastructure governance, IAM, service accounts, network segmentation, and project hierarchy.

Drive Infrastructure as Code (IaC) maturity using Terraform, Deployment Manager, and automation pipelines.

Build and manage CI/CD pipelines using Cloud Build, GitHub Actions, Jenkins, ArgoCD, or Tekton.

Lead SRE practices including SLIs, SLOs, monitoring, incident response, postmortems, and resilience engineering.

Strengthen observability using Cloud Monitoring, Cloud Logging, Error Reporting, Cloud Trace, and APM capabilities.