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    Job · 21213419

    HYDERABAD · FULLTIME

    GCP Devops Engineer

    Globallogic

    Globallogic

    Hyderabad · onsite · Posted 5d ago

    Sourced fromNaukri
    Undisclosed5–10 yrsfulltimeHyderabad

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    Section · 01

    About this role

    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
    Strong 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!

    Sourced from naukri

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    Section · 02

    Skills

    manualDockerTerraformBashGitlabKubernetesPostgresqlcomputationaws iamSSLcdgoogle cloud platformCloud StorageHelmglmredisVpcbigqueryCloud SqlCloud OrchestrationComputer NetworksGoogle Vertex AIdeploymentPythoncloudmanagementInfrastructureCi/CdYaml

    Section · Company

    About GlobalLogic

    Globallogic

    Globallogic

    IT Services & Consulting

    15.0k+

    employees

    2000

    26 years old

    San Jose, California

    United States (USA)

    About

    GlobalLogic is a digital product engineering company that offers product consulting and software engineering partner services.

    Industries

    IT Services & Consulting

    Employee ratings

    5,777 reviews

    3.5/ 5

    Culture

    3.6

    Career growth

    2.7

    Work-life

    3.7

    Employees rate it well for

    Salary914Work Life Balance788Work Culture668Appraisal494Senior Management457

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