Description

Lead the end-to-end DevOps and infrastructure function for an advanced analytics platform deployed on GCP. The role owns infrastructure-as-code, CI/CD pipeline design and governance, multi-environment promotion strategy, MLOps infrastructure, multi-tenant provisioning, and production reliability – ensuring the platform scales securely across clients and geographies.

Requirements

Domain

Requirement

Cloud Platform

Deep hands-on expertise with GCP – Compute, Networking, IAM, Cloud Run, Cloud SQL, BigQuery, Cloud Storage, Artifact Registry, Vertex AI, Cloud Composer

Infrastructure as Code

Production-grade Terraform – modules, workspaces, remote state (GCS), state locking, Terragrunt wrappers; experience managing 4+ environments from a single codebase

CI/CD

GitLab CI/CD – pipeline design, YAML templating, multi-stage deployment, manual gates, Kubernetes executor runners, pipeline optimization

Containers

Docker containerization, image lifecycle management, Artifact Registry, Cloud Run deployment patterns

Networking

VPC design, private connectivity, HTTPS Load Balancers, SSL/TLS, DNS management, CDN/WAF integration (Akamai or Cloudflare)

Databases

Operational management of Cloud SQL (PostgreSQL) and BigQuery – provisioning, backups, replication, access control

Security

GCP IAM, service accounts, workload identity, secret management, least-privilege enforcement, Cloud Armor

Monitoring

Setting up observability stacks — GCP Cloud Monitoring/Logging, alerting policies, SLO tracking

Scripting

Proficiency in Python and Bash for automation, glue scripts, and pipeline tooling

Version Control

Advanced Git workflows, branch protection, MR-based collaboration, GitOps principles

Analytics & Data Platform Domain Skills

Multi-Tenant Infrastructure: Experience provisioning isolated per-client resources (datasets, databases, storage buckets, service accounts) from parameterized IaC templates

Data Pipeline Infrastructure: Managing Cloud Composer/Airflow environments, DAG deployment, and orchestration of BigQuery ↔ PostgreSQL sync pipelines

MLOps Infrastructure: Provisioning Vertex AI Workbenches, model pipeline compute (including GPU), and model artifact storage with governed access

Environment Parity: Maintaining functional parity across dev/qa/uat/prd with differences limited to scaling – ensuring consistent data architecture, networking, and IAM across tiers

Client Onboarding Automation: Automating tenant provisioning via Terraform – dual-database strategy (workspace DB + published DB), BigQuery datasets, GCS buckets, and IAM bindings per client

Good-to-Have

Experience with Helm charts for Kubernetes-based auxiliary services

Familiarity with Akamai CDN/WAF configuration and integration with GCP Load Balancers

Exposure to WPP Open OS or similar micro-frontend hosting platforms (DevHub publishing, CSP configuration)

Experience With Cloud Functions For Lightweight Serverless Glue Logic

Knowledge of Redis cache provisioning and management

Exposure to Pub/Sub for event-driven pipeline triggers

Experience managing GitLab seat licensing and repository access governance at an organizational level

Familiarity with data governance, retention policies, and GDPR-aligned infrastructure design

Certification:



GCP Professional Cloud DevOps Engineer or equivalent

Soft Skills

Solid ownership mindset for platform reliability and production uptime

Ability to create and maintain clear documentation – runbooks, ADRs, environment specs, and deployment guides

Effective cross-functional collaborator – comfortable working with backend engineers, data scientists, QA, and product stakeholders

Proactive problem solver who anticipates infrastructure bottlenecks and builds for scale

Calm under pressure – able to lead incident response and post-incident reviews

Job responsibilities

Key Responsibilities

Infrastructure & IaC

Own and evolve the Terraform codebase for provisioning all GCP resources – VPC, Cloud SQL (PostgreSQL), Cloud Run, Load Balancers, Artifact Registry, BigQuery, Cloud Composer (Airflow), Cloud Storage, and Vertex AI Workbench

Implement modular, parameterized Terraform modules using Terragrunt wrappers aligned with the Measure Project Factory templates

Manage Terraform state (GCS backend with state locking) and ensure consistent, drift-free environments across dev → qa → uat → prd

Provision and manage per-client infrastructure (datasets, databases, buckets, service accounts) as part of the multi-tenant onboarding process

CI/CD Pipeline Design & Governance

Design, maintain, and optimize GitLab CI/CD pipelines for frontend, backend (FastAPI/Python), infrastructure, and data engineering deployments

Implement environment promotion workflows with appropriate manual gates, MR approval policies, and branch protection rules

Enforce quality gates – build-fail enforcement on unit tests, SonarQube, code coverage thresholds, and configuration-policy validation

Manage GitLab Kubernetes executor runners and pipeline caching strategies

Prevent environment misconfigurations through automated validation of environment-specific variables and credentials

Cloud Platform & Networking

Architect and manage GCP networking — dedicated VPCs, subnets, firewall rules, private IP connectivity, and VPC connectors for secure service-to-service communication

Configure and maintain HTTPS Load Balancers with SSL/TLS termination, Cloud Armor security policies, and Akamai CDN/WAF integration

Manage DNS, certificate provisioning, and edge routing for production traffic

MLOps & Data Infrastructure

Provision and manage Vertex AI Workbench instances for data scientists and analysts with appropriate IAM bindings

Support MLOps pipeline infrastructure – GPU-enabled Vertex AI compute, model artifact storage (GCS), pipeline orchestration, and Artifact Registry for container images

Manage Cloud Composer (Airflow) environments for data pipeline orchestration – DAG deployment, monitoring, and health validation

Support BigQuery-to-PostgreSQL replication pipelines and data sync automation

Security & Access Management





Implement least-privilege IAM policies with per-client service accounts and role-based access control

Manage workload identity federation, secret management, and service account lifecycle

Ensure OIDC/OAuth2 integration for application authentication and platform-level authorization

Maintain compliance with data governance requirements including data retention policies and GDPR alignment

Observability & Reliability

Establish monitoring, alerting, and observability for infrastructure and application services — including pipeline failures, data sync gaps, and service health

Define and track SLOs for environment availability, deployment success rates, and recovery objectives (RPO/RTO)

Implement automated health checks, self-healing configurations, and incident response procedures

Production Readiness & Operations

Lead production deployments with zero-downtime strategies and validated rollback procedures

Conduct infrastructure readiness reviews before UAT handover and production go-live

Document deployment runbooks, disaster recovery procedures, and operational playbooks

Team Leadership

Mentor and guide junior DevOps/cloud engineers, conduct code reviews for IaC changes, and establish engineering standards

What we offer

Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them.

Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities!

Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays.

Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training(GL Vantage, Toast Master),Stress Management program, professional certifications, and technical and soft skill trainings.

Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Group Term Life Insurance, Group Personal Accident Insurance , NPS(National Pension Scheme ), Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses.

Fun Perks: We want you to love where you work, which is why we host sports events, cultural activities, offer food on subsidies rates, Corporate parties. Our vibrant offices also include dedicated GL Zones, rooftop decks and GL Club where you can drink coffee or tea with your colleagues over a game of table and offer discounts for popular stores and restaurants!

About GlobalLogic

GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.

📌 DevOps Lead7 (Hyderabad)
🏢 GlobalLogic
📍 Hyderabad