DevOps Engineer II

Deutsche Telekom Digital Labs; Gurugram District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Deutsche Telekom Digital Labs in Gurugram seeks a motivated DevOps Engineer I to join our Cloud Platform team. You will work on GCP, Kubernetes, IaC, and observability, supporting data platform services in secure, closed networks.

Responsibilities include deploying workloads on GKE, maintaining Terraform configurations, enabling CI/CD with GitLab/ArgoCD, and driving platform reliability through monitoring and automation. Collaboration with cross-functional teams is essential.

Qualifications

• Bachelor's degree in a relevant field or equivalent experience.
• Hands-on experience with GCP, GKE, Terraform, and CI/CD.
• Familiarity with GitOps workflows and IaC practices.

Responsibilities

• Manage and support GCP infrastructure and platform services.
• Deploy, operate, and troubleshoot workloads on GKE.
• Develop and maintain Infrastructure as Code using Terraform.
• Support CI/CD pipelines and deployment automation (GitLab, ArgoCD).
• Monitor platform health, performance, and availability.
• Implement cloud security and operational best practices.
• Participate in incident response and root cause analysis.
• Contribute to cloud cost optimisation initiatives.
• Collaborate with development, data engineering, and platform teams.

Skills

GCP

GKE

Terraform

CI/CD

GitOps

Monitoring

Security

Networking

Python

Scripting

Education

Bachelor's degree in CS/IT

Tools

GitLab

ArgoCD

Helm

Grafana

Prometheus

Job description

We are seeking a motivated and skilled DevOps Engineer I to join our Cloud Platform team. The ideal candidate will have hands-on experience with Google Cloud Platform (GCP), Kubernetes, Infrastructure as Code, and cloud operations. The role involves supporting and improving cloud infrastructure, CI/CD pipelines, observability, platform reliability, and automation initiatives. The candidate should be comfortable working in regulated or closed-network environments and supporting modern data platform services running on GCP.

Responsibilities

• Manage and support GCP infrastructure and platform services.
• Deploy, operate, and troubleshoot workloads on Google Kubernetes Engine (GKE).
• Develop and maintain Infrastructure as Code using Terraform.
• Support CI/CD pipelines and deployment automation(Gitlab and ArgoCD).
• Monitor platform health, performance, and availability.
• Implement cloud security and operational best practices.
• Deutsche Telekom Digital Labs Document Author: People Team Version Control: 1.0 Released on 1-Apr-20 For Internal Circulation Only Troubleshoot infrastructure, networking, and application issues.
• Support data platform services and cloud-native integrations.
• Participate in incident response and root cause analysis activities.
• Contribute to cloud cost optimisation initiatives.
• Work closely with development, data engineering, and platform teams.

Requirements

• Required Skills: Google Cloud Platform (GCP) Compute Engine, VPC Networking, IAM, Cloud Load Balancers, Cloud DNS, Cloud Storage (GCS), Cloud Monitoring, Cloud Logging, Kubernetes.
• Experience with GKE Kubernetes deployments and troubleshooting Ingress and networking concepts Resource management Pod lifecycle management Infrastructure as Code Terraform Terraform modules Remote state management Infrastructure automation Networking VPC design and management Subnets Routing Firewall rules VPN and private connectivity concepts Data Platform Services.
• Exposure to: BigQuery, Cloud Composer (Apache Airflow), Deutsche Telekom Digital Labs, Document Author: People Team, Version Control: 1.0 Released on 1-Apr-20 For Internal Circulation Only, Kafka, CloudAMQP, Google Cloud Storage (GCS).
• Monitoring and Operations: Grafana, Prometheus, Cloud Monitoring, incident troubleshooting.
• Experience in closed or restricted network environments.
• Understanding of multi-project GCP environments.
• Familiarity with security and compliance controls.
• Basic scripting skills (Python, Bash, Shell).
• Exposure to GitOps methodologies.
• Good to have: ArgoCD, Helm, FinOps and cloud cost optimisation practices.
• Success Metrics: Infrastructure reliability, deployment success rate, incident resolution time, automation improvements, and cloud cost optimisation contributions.