Were looking for an experienced and motivated Senior Site Reliability Engineer (SRE) to join our team in building and supporting a cutting-edge Data Analytics Platform at scale.

This role is integral to ensuring the platforms availability, performance, and reliability, while empowering data engineers and development teams to deliver advanced analytics capabilities using Azure-native data services such as Synapse, Fabric, Databricks, and beyond.

WHAT YOULL DO :

- Support, maintain, and enhance the reliability, scalability, and performance of our Azure-based Data Analytics Platform.

- Collaborate closely with Data Engineers, Developers, and Architects to operationalize solutions in Synapse, Fabric, Databricks, and related Azure services.

- Design and implement monitoring, alerting, and observability strategies to ensure end-to-end visibility of data services and pipelines.

- Drive automation for provisioning, deployment, scaling, and recovery of critical services using Infrastructure-as-Code (IaC).

- Implement CI/CD pipelines tailored for data workloads (e., notebook deployments, schema evolution, integration testing).

- Ensure system compliance with enterprise security, privacy, and data governance policies.

- Participate in incident response, troubleshooting, and root cause analysis to improve system resilience.

- Optimize cost, performance, and service availability through best-practice configurations and usage monitoring.

- Contribute to SRE playbooks and knowledge bases for operational excellence.

- Act as a technical mentor and advocate for reliability engineering within data and product teams.

WHAT YOULL NEED :

- All applicants must be able to work from our Hyderabad office 2-3x a week.

- Proven experience as an SRE or DevOps engineer supporting large-scale data platforms, preferably in an enterprise Azure environment.

Strong hands-on expertise with Azure Data Services, especially :

- Azure Synapse Analytics.

- Microsoft Fabric.

- Azure Databricks.

- Azure Data Lake Storage.

- Azure Data Factory / Synapse Pipelines.

- Deep understanding of data architecture principles, data pipeline orchestration, and distributed data processing.

- Proficiency in Infrastructure-as-Code tools like Terraform, Bicep, or ARM templates.

- Solid scripting experience (e., PowerShell, Python, or Bash) for automation tasks.

- Familiarity with CI/CD tools (e., Azure DevOps, GitHub Actions) and containerization.

- Expertise in monitoring/logging solutions such as Azure Monitor, Log Analytics, Application Insights, and third-party tools like Prometheus/Grafana or Honeycomb.

- Knowledge of cloud security and data governance best practices.

- Strong analytical and problem-solving skills, with the ability to work collaboratively in a cross-functional team.

- Excellent communication skills to engage technical and non-technical stakeholders.