Lead Cloud Infrastructure & DevOps Engineer

Tata Consultancy Services; Hyderabad; On-site; INR 2,200,000 - 4,200,000; Full time

Job summary

Tata Consultancy Services in Hyderabad seeks an accomplished cloud infrastructure expert to lead the design, deployment and automation of enterprise-grade Google Cloud platforms. You will own infrastructure as code, CI/CD pipelines, and security controls across multiple environments.

You will mentor teams, document architectures, and collaborate with data platform teams to enable GKE, Shared VPC, Vault-like secrets, and observability, delivering reliable, scalable cloud services.

Qualifications

• 8-15 years of technology experience, with recent hands-on responsibility for cloud infrastructure, DevOps, or platform automation.
• Strong hands-on experience with Google Cloud infrastructure supporting enterprise GKE and data platforms.
• Deep understanding of Shared VPC, routing, firewalls, Cloud NAT, Private Service Connect, Cloud DNS, load balancing, Cloud IAM, Cloud Storage, Cloud KMS, and Secret Manager.
• Advanced Terraform experience covering reusable GCP modules, GKE provisioning, remote state, testing, policy validation, drift detection, and controlled promotion.
• Experience with Artifact Registry, OCI images, artifact management, and CI/CD or GitOps enablement; sufficient Helm knowledge to support release pipelines.
• Working knowledge of GKE dependencies, including node infrastructure, Workload Identity Federation, load balancing, DNS, ingress, storage classes, and observability.
• Experience implementing Cloud IAM, Secret Manager integration, vulnerability scanning, policy-as-code checks, and infrastructure security controls.
• Experience supporting multi-environment infrastructure releases, cluster upgrades, rollback, observability, incident troubleshooting, backup, and recovery.
• Strong technical leadership, documentation, mentoring, stakeholder communication, and problem-solving skills.
• Good-to-have: Experience enabling infrastructure for Spark, Kafka, Flink, Airflow, Iceberg, Trino, or related data platform services.
• Exposure to Vault, External Secrets Operator, cert-manager, Kyverno, Open Policy Agent/Gatekeeper, or cloud-native policy services.
• Experience with Cloud Monitoring, Cloud Logging, Prometheus, Grafana, Loki, OpenTelemetry, or centralized enterprise observability platforms.
• Experience supporting hybrid, sovereign, restricted, or regulated GCP environments.
• Understanding of FinOps, infrastructure cost optimization, capacity planning, disaster recovery, and platform SRE practices.

Skills

GCP

Terraform

GKE provisioning

VPC

IAM

CI/CD

Artifact Registry

Observability

Security controls

Technical leadership

Tools

Helm

GitOps

Job description

Year of experience- 10+ years

Required Skill set- GCP, Terraform, GKE Provisioning, VPC, IAM, CI/CD, Artifact Registry

Required Skills & Experience

Must Have

• 8-15 years of technology experience, with recent hands-on responsibility for cloud infrastructure, DevOps, or platform automation.
• Strong hands-on experience with Google Cloud infrastructure supporting enterprise GKE and data platforms.
• Deep understanding of Shared VPC, routing, firewalls, Cloud NAT, Private Service Connect, Cloud DNS, load balancing, Cloud IAM, Cloud Storage, Cloud KMS, and Secret Manager.
• Advanced Terraform experience covering reusable GCP modules, GKE provisioning, remote state, testing, policy validation, drift detection, and controlled promotion.
• Experience with Artifact Registry, OCI images, artifact management, and CI/CD or GitOps enablement; sufficient Helm knowledge to support release pipelines.
• Working knowledge of GKE dependencies, including node infrastructure, Workload Identity Federation, load balancing, DNS, ingress, storage classes, and observability.
• Experience implementing Cloud IAM, Secret Manager integration, vulnerability scanning, policy-as-code checks, and infrastructure security controls.
• Experience supporting multi-environment infrastructure releases, cluster upgrades, rollback, observability, incident troubleshooting, backup, and recovery.
• Strong technical leadership, documentation, mentoring, stakeholder communication, and problem-solving skills.

Good to Have

• Experience enabling infrastructure for Spark, Kafka, Flink, Airflow, Iceberg, Trino, or related data platform services.
• Exposure to Vault, External Secrets Operator, cert-manager, Kyverno, Open Policy Agent/Gatekeeper, or cloud-native policy services.
• Experience with Cloud Monitoring, Cloud Logging, Prometheus, Grafana, Loki, OpenTelemetry, or centralized enterprise observability platforms.
• Experience supporting hybrid, sovereign, restricted, or regulated GCP environments.
• Understanding of FinOps, infrastructure cost optimization, capacity planning, disaster recovery, and platform SRE practices.