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    Job · 22285574

    Privacera logo

    SRE/Devops Engineer

    Privacera · Pune · hybrid · Posted 3d ago

    Undisclosed4–6 yrsfulltimeSourced fromNaukri

    About a minute. You'll make an account on the way through.

    About this role

    Role: Site Reliability Engineer (SRE) Data Platforms

    Role Summary

    Own reliability, support, and operations of enterprise data platforms (Trust3 AI, Snowflake, Databricks)

    with a primary focus on Google Cloud Platform (GCP). This is a deeply hands-on Principal SRE role

    combining managed services ownership, advanced production engineering, and reliability at scale.

    What You’ll Do

    • Own end-to-end platform lifecycle and managed services delivery: installation, operations,

    upgrades, optimization, and continuous platform health

    • Take full ownership of critical production incidents with deep debugging, RCA, and permanent fixes
    • Troubleshoot complex, cross-system issues across GCP (GKE, IAM, networking), data platforms, and connectors
    • Lead performance tuning, scalability optimization, and system hardening for high-throughput systems
    • Design and implement automation across deployments, monitoring, and operations
    • Manage secrets and secure integrations using Vault (or similar) within platform and CI/CD workflows
    • Install, upgrade, and operate Trust3 AI on GCP (GKE) across multi-region environments
    • Ensure accurate and reliable enforcement of data access policies
    • Build and enhance observability (metrics, logs, alerts) for proactive issue detection
    • Eliminate operational toil through continuous reliability improvements
    • Own issues end-to-end with strong stakeholder communication and SLA adherence
    • Collaborate with Engineering and Product to resolve issues and influence platform improvements
    • Lead managed services operations including monitoring, incident prevention, capacity planning,

    DR readiness, and service-level outcomes (SLA, uptime, upgrade timelines)

    Skills Required

    • Cloud: Strong expertise in GCP (GKE, IAM, BigQuery, GCS, VPC, Cloud Monitoring/Logging); AWS/Azure exposure is a plus
    • Data Platforms: Snowflake, Databricks, BigQuery
    • Infra & CI/CD: Kubernetes, Helm, CI/CD (GitHub Actions, GitLab CI, or similar), Terraform (preferred)
    • Scripting: Python / Bash
    • Observability: Prometheus, Grafana, ELK
    • Security: IAM, RBAC/ABAC, data governance (Trust3 AI/Ranger preferred), secrets management (Vault or similar)

    Experience

    • 4-10 years in SRE / DevOps / Production Engineering
    • Strong expertise in debugging distributed systems and complex production environments
    • Proven ownership of high-severity incidents and large-scale production systems
    • Demonstrated ability to independently solve ambiguous, high-impact technical problems
    • Track record of driving reliability, automation, and operational excellence at scale
    • Experience running high-throughput, always-on (24x7) systems with large data volumes and strict uptime SLAs

    Why This Role

    • Principal-level, deeply hands-on IC role (no people management)
    • End-to-end ownership of mission-critical data platforms
    • Work on complex production challenges across cloud, data, and security layers
    • High impact on enterprise data access, governance, and reliability

    Important Note

    This is a production-first role involving end-to-end incident ownership, deep technical problem solving,

    and managed services operations — not a pure DevOps/build-only or people management role.

    Sourced from naukri

    Skills

    DevopsDockerTerraformBashKubernetesIncident Managementamazon web servicesSite Reliability EngineeringGoogle Kubernetes EngineDatabricksSnowflakeProduction SupportLinuxCi/Cd

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