Data Platform SRE Full Time

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.

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

This role combines:

Incident response
Customer support
Platform engineering

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

Working Hours

Primary Schedule

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)

Flexibility

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

Key Responsibilities

Incident Response & Operations (40%)
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

Customer Support (30%)

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

Platform Engineering & Planned Work (30%)

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
Required Technical Skills

Core Technologies

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