Data Platform SRE

About Virtasant

Virtasant is a global technology services company helping enterprises modernise infrastructure, scale digital platforms, and unlock value from complex technology environments.

Our teams operate globally, supporting large-scale distributed systems across cloud-native and data-intensive platforms. We combine engineering excellence with customer-centric delivery to ensure production reliability and operational resilience.

A chance for an Data Platform SME to join our Data Platform team, providing critical support for production data infrastructure and customer-facing services.

• Incident response
• Customer support
• Platform engineering

You will operate in a dynamic, distributed environment supporting complex, large-scale systems with direct customer exposure.

• Monday to Friday: 03:00–11:00 UTC (08:30–16:30 IST)
• On-call rotation:
  One weekend in four (24-hour coverage during assigned weekends)

• Initial onboarding period may require adjusted hours (later start/finish times) to facilitate collaboration with the London-based team
• Occasional schedule adjustments may be needed for cross-team coordination

• Monitor and respond to production alerts in a timely manner
• Execute documented recovery procedures for known incident types
• Investigate, troubleshoot, and resolve novel incidents
• Document incident learnings and contribute to runbook improvements
• Participate in post-incident reviews and root cause analysis

• Provide technical support to customers via Slack (primary channel)
• Deliver support through Webex when required
• Troubleshoot customer-reported issues related to data pipelines and platform services
• Communicate technical concepts clearly to both technical and non-technical stakeholders
• Escalate complex issues appropriately while maintaining customer satisfaction

• Manage configuration changes across data platform infrastructure
• Execute customer onboarding processes
• Support data migration and platform upgrade initiatives
• Contribute to automation and tooling improvements
• Maintain and update technical documentation

• Data Processing Frameworks:
  Apache Flink, Apache Spark
• Data Platforms:
  Apache Iceberg (table format and ecosystem)
• Container Orchestration:
  Kubernetes (production experience required)
• Data Pipeline Engineering:
  Experience with data ingestion patterns, ETL/ELT workflows

• Strong Linux/Unix systems administration
• Infrastructure as Code (Terraform, Ansible, or similar)
• CI/CD pipelines and Git Ops practices
• Monitoring and observability tools (Prometheus, Grafana, or equivalents)
• Scripting and automation (Python, Go, Bash, or similar)
• Cloud platforms (AWS, GCP)

• Excellent written and verbal communication skills for customer interaction
• Strong analytical and troubleshooting abilities
• Demonstrated ability to manage on-call responsibilities professionally
• Experience working in distributed teams across time zones
• Comfortable with evolving priorities and technologies
• Commitment to maintaining clear, comprehensive documentation

• 5+ years of experience in SRE, Dev Ops, or Platform Engineering roles
• Previous experience supporting data-intensive production systems
• Background in customer-facing technical support or solutions engineering
• Familiarity with streaming data architectures
• Experience with incident management frameworks (e.g., ITIL, incident command)
• Contributions to open-source projects in the data engineering or platform space

• Opportunity to work with cutting-edge data platform technologies
• Exposure to complex, large-scale distributed systems
• Collaborative, engineering-focused culture
• Direct customer interaction and measurable impact