DevOps / Site Reliability Engineer

DataHub • Java • Python • 2 hours ago
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Salary
≈ $25k – $63k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior · 5+ years exp
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DataHub

DataHub is a metadata catalog platform that empowers businesses by enabling data lineage tracking, ownership management, and governance across datasets, models, and pipelines via open-source and cloud solutions.
datahub.com • Bengaluru • UTC+05:30 • Data Architecture • Data Governance • Data & Analytics • Est. 2021

We're seeking an experienced DevOps/Site Reliability Engineering (SRE) Engineer to join DataHub and drive the reliability, scalability, and operational excellence of our platform offerings. In this role, you'll work on technical initiatives across DataHub Cloud and our emerging enterprise deployment solution, which provides customers with enhanced control and flexibility for running DataHub in their preferred environments.

The core responsibilities for the job include the following:

Enterprise Platform Development:

  • Partner with product and engineering teams to influence the development of advanced deployment capabilities.
  • Collaborate with cross-functional teams to help build systems for seamless installation, upgrade, and rollback processes across various environments.
  • Influence the design and help implement comprehensive monitoring and health check systems for distributed deployments.
  • Partner with engineering teams to help develop self-healing and automated remediation capabilities.

Platform Reliability and Operations:

  • Lead incident response and post-mortem processes to drive continuous improvement.
  • Work closely with product, engineering, and customer success teams to ensure reliable product delivery.
  • Improve on-call practices, runbooks, and knowledge-sharing processes.
  • Drive cross-functional initiatives to improve overall system reliability.

Requirements:

  • 5+ years of experience in platform engineering or DevOps roles.
  • Strong expertise with cloud platforms (AWS, GCP) and infrastructure automation tools
  • Experience with CI/CD pipelines and deployment automation
  • Proficiency in containerization technologies (Docker, Kubernetes) and orchestration
  • Strong programming skills in Python, Java, or similar languages
  • Experience with infrastructure as code tools (Terraform, CloudFormation)
  • Good understanding of monitoring and observability tools (Prometheus, Grafana, etc. )

Preferred Qualifications:

  • Experience building and operating multi-tenant SaaS platforms.
  • Background in developing customer-facing deployment and management tools.
  • Knowledge of data infrastructure and metadata management systems.
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