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.

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

Additional Technical Competencies

• Strong Linux/Unix systems administration

• Infrastructure as Code (Terraform, Ansible, or similar)

• CI/CD pipelines and GitOps practices

• Monitoring and observability tools (Prometheus, Grafana, or equivalents)

• Scripting and automation (Python, Go, Bash, or similar)

• Cloud platforms (AWS, GCP)

Required Professional Skills

• 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

Preferred Qualifications

• 5+ years of experience in SRE, DevOps, 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
  
  

Why Join Virtasant

• 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