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Team Lead | Engineering, AI & Data – Engineering | GCP Devops
Location: Bangalore
The team
Engineering helps 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
Your work profile
We are seeking a skilled DevOps Engineer to manage and scale mission-critical, production-grade
distributed systems running on Google Cloud Platform (GCP). The successful candidate will focus on
automation, observability, and infrastructure reliability to ensure high system availability. You will work
closely with engineering and operations teams to implement CI/CD pipelines, manage containerized
workloads, and reduce operational toil through code-driven solutions.
Cloud & Infrastructure Management
GCP Administration: Design, deploy, and manage cloud infrastructure on GCP, including GKE,
Compute Engine, VPC, IAM, Load Balancers, and Cloud Storage.
Infrastructure as Code (IaC): Implement and maintain scalable infrastructure using Terraform to
Service Management: Work with core services such as BigQuery, Pub/Sub, and Cloud
Logging/Monitoring.
Kubernetes & Containerization
Orchestration: Deploy and manage containerized applications using Kubernetes • (GKE) and Docker.
Maintenance: Troubleshoot issues related to pods, nodes, networking, and storage within
Kubernetes clusters.
Deployment Strategies: Execute application deployments using Helm and follow modern rollout
strategies like Canary or Blue-Green.
Automation & CI/CD
Pipeline Development: Build and maintain robust CI/CD pipelines using Jenkins (utilizing Groovy,
Shell, or Python scripting).
• Version Control:Manage code and configuration using GitHub.
Toil Reduction: Develop automation scripts in Python and Shell to automate repetitive manual
tasks and improve operational efficiency.
Observability & Incident Response
Monitoring & Alerting: Implement and manage monitoring stacks using tools like Dynatrace and
Grafana.
Deep Observability: Utilize logs, metrics, and traces to proactively identify system trends and
Incident Support: Participate in the incident management lifecycle to identify, troubleshoot, and
resolve production issues.
Key skills required:
Education-Bachelors in Engineering
Cloud Platform: Strong hands-on expertise in GCP (GKE, VPC, IAM, Load Balancing, KMS,
BigQuery, Pub/Sub).
Infrastructure as Code: Proficient in Terraform (ability to write and debug code from scratch).
GCP DevOps - consultant
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Infrastructure as Code: Proficient in Terraform (ability to write and debug • code from scratch).
• Containerization: Deep expertise in Kubernetes (GKE) and Docker.
• CI/CD & Version Control: Hands-on experience with Jenkins and GitHub.
• Scripting: Strong proficiency in Python (preferred) and Shell scripting.
• Networking & OS: Solid Linux fundamentals and a deep understanding of TCP/IP networking.
• Programming:Working knowledge of Java and/or Golang is a plus.
• Experience working with high-scale distributed systems.
• Familiarity with SRE principles (SLIs, SLOs, SLAs, and Error Budgets).
• Exposure to security and compliance practices within cloud environments.
• Experience in the banking or financial services domain.
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