DevOps Engineer II - Hyderabad, India

Core Responsibilities

• Data Platform Reliability: Ensure the availability, performance, scalability, and reliability of data platforms, pipelines, and services through proactive monitoring, troubleshooting, and issue resolution.
• Service Design and Implementation: Collaborate with engineering teams to design, implement, and operate large-scale data systems, including software and tooling to automate and streamline operations.
• Automation and Scripting: Develop and maintain scripts, utilities, and automation tools to improve operational efficiency, reduce manual effort, minimize errors, and support repeatable data platform operations.
• Monitoring and Alerting: Design, implement, and continuously improve monitoring, alerting, dashboards, and observability signals to enable early detection and timely resolution of issues.
• Collaboration and Communication: Partner with engineering teams, product managers, data stakeholders, cloud teams, and operations teams to ensure services meet business requirements and align with company goals.
• Incident Response and Management: Participate in incident response, service restoration, root cause analysis, postmortems, and corrective actions to improve resiliency and prevent recurrence.
• Documentation and Knowledge Sharing: Maintain accurate documentation for systems, services, runbooks, processes, and operational procedures, and promote knowledge sharing across the team.
• Governance and Day-to-Day Operations: Support day-to-day data platform operations while ensuring alignment with internal standards, global governance requirements, operational controls, and production support processes.

Skills and Experience

• Programming, Scripting, and Data Processing: Hands-on experience with Python, Spark, Bash, and PowerShell for automation, diagnostics, data processing support, operational tooling, and repeatable platform operations.
• Azure Data Platform: Experience supporting Azure Data Lake Gen2, Azure Data Factory, Azure Synapse Analytics including Data Warehouse, Spark, and Pipelines, Azure SQL Database, Cosmos DB, and Databricks in production environments.
• Observability and Monitoring: Proficiency with Azure Application Insights, Azure Log Analytics, Azure Monitor, Splunk, AppDynamics, and ELK to monitor availability, performance, pipeline health, application behavior, logs, metrics, traces, and alerts.
• DevOps and Source Control: Working knowledge of Azure DevOps and GitHub Enterprise for repositories, CI/CD pipelines, release management, operational changes, branching strategies, and controlled production deployments.
• Containers and Cloud-Native Operations: Experience with Docker, Kubernetes, and Azure Kubernetes Service (AKS) to support containerized workloads, platform reliability, deployment operations, scaling, and service health management.
• ITSM and Operational Governance: Experience using ServiceNow or equivalent ITSM platforms for incident, problem, change, request, and knowledge management in a governed enterprise environment.
• SRE and Production Reliability: Strong understanding of SLIs, SLOs, SLAs, error budgets, incident response, root cause analysis, postmortems, runbooks, automation, production readiness, and toil reduction practices.
• Disaster Recovery & Resilience Engineering: Design and architect for multi-region systems to meet strict RTO (Service Availability) and RPO (Data Integrity) targets. You will drive down RTO via automation (Terraform, auto-scaling, DNS failover) and enforce RPO through robust replication and Continuous Data Protection (CDP) strategies.
• AI-Assisted Engineering: Ability to use GitHub Copilot and Microsoft 365 Copilot responsibly to accelerate investigation, documentation, scripting, knowledge discovery, and operational productivity with appropriate human validation.
• Collaboration and Execution: Strong communication, documentation, troubleshooting, evidence capture, escalation management, and cross-functional collaboration skills across engineering, data, cloud, product, and operations teams.

Minimum Qualifications

• 4– 6 years in production support, DevOps, infrastructure, cloud operations, or software engineering.
• Experience supporting business-critical systems and working in incident, problem, and change management processes.
• Ability to script and automate standard operational tasks using Python, PowerShell, Bash, or equivalent.
• Bachelor’s degree in computer science, engineering, or equivalent practical experience.
• Exposure to regulated enterprise, insurance, banking, or financial services environments preferred.
• Exposure to Hybrid cloud platforms including on-premises and Azure-hosted services.
• Business proficiency in English; Japanese language skills are a plus.

Preferred Exposure

• Japanese language ability, including reading and writing.
• Domain knowledge of life insurance business processes, data platforms, and operational support needs.