{"id":4144607,"url":"https://alion.io/job/tredence-inc-gcp-devops-engineer-dataops","title":"GCP DevOps Engineer - DataOps","company":{"id":1263,"name":"Tredence Inc","domain":"tredence.com","url":"https://alion.io/company/tredence-inc","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"dbt","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitLab CI","optional":false},{"name":"Google BigQuery","optional":false},{"name":"IAM","optional":false},{"name":"Least Privilege","optional":false},{"name":"Python","optional":false},{"name":"Slack","optional":false},{"name":"Snyk","optional":false},{"name":"SonarQube","optional":false},{"name":"Terraform","optional":false},{"name":"Trivy","optional":false},{"name":"Feature Store","optional":true},{"name":"Kubernetes","optional":true},{"name":"Vertex AI","optional":true}],"status":"live","first_seen_at":"2026-11-12T06:28:17Z","employer_posted_date":null,"last_verified_at":"2026-11-12T06:28:17Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Role Overview : \n\nWe are looking for a GCP DevOps / DataOps Engineer to design, automate, and maintain the cloud infrastructure.\n\nIn this role, you will work hand-in-hand with GCP Data Engineers, Analytics Consultants, and the client's central IT/platform teams to build automated, secure, and production-grade pipelines that ingest, clean, and model marketing and membership data across diverse acquisition and retention vehicles.\n\nKey Responsibilities : \n\n- Infrastructure as Code (IaC) : Design, provision, and maintain modular GCP cloud resources using Terraform, ensuring environment parity across Dev, Staging, and Production.\n\n- DataOps CI/CD Pipelines : Build automated CI/CD pipelines (GitHub Actions / GitLab CI / Cloud Build) for data workflows, including BigQuery, Cloud Composer (Airflow), dbt, and Cloud Dataflow.\n\n- Security & Compliance : Implement least-privilege IAM, service account management, customer data security standards, VPC service controls, and encryption (KMS) aligned with US retail data governance.\n\n- Observability & Reliability : Establish end-to-end monitoring, automated alerting, and log routing across ingestion pipelines and analytical databases using Cloud Monitoring, Cloud Logging, and custom Slack/Teams notifications.\n\n- Cost Optimization & Performance : Partner with Data Engineering to monitor query costs, storage tiers, auto-scaling thresholds, and resource utilization across GCP compute and analytics engines.\n\n- Client & Stakeholder Collaboration : Coordinate with client platform engineering and infosec teams to navigate firewall rules, private connectivity, and compliance approvals.\n\nRequired Qualifications & Skills : \n\n- Experience : 5+ years in DevOps/SRE, with at least 3+ years dedicated to Google Cloud Platform (GCP).\n\n- IaC & Automation : Strong expertise in Terraform (writing reusable modules, state management in GCS, automated drift detection).\n\n- Data & Analytics Stack : Practical experience operationalizing data stacks on GCP (BigQuery, Cloud Composer/Airflow, Cloud Storage, Pub/Sub, Dataflow/Dataproc).\n\n- CI/CD Mastery : Deep hands-on experience building multi-stage deployment pipelines (GitHub Actions, GitLab CI, or Cloud Build) with automated testing, linting, and security scanning (SonarQube, Trivy, or Snyk).\n\n- Scripting & Containers : Proficiency in Python and Bash; 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