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Privacera

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SRE/Devops Engineer

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Summary

Hands-on SRE role in Pune owning reliability, operations, and managed services for Privacera's Trust3 AI and enterprise data platforms (Snowflake, Databricks, BigQuery) on Google Cloud Platform. Day-to-day covers incident ownership and RCA, performance tuning, automation, and observability using GKE, Helm, Terraform, CI/CD, and Prometheus/Grafana/ELK.

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.

Skills

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See also

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