SRE

Metlife; Hyderabad; Hybrid; INR 1,500,000 - 2,100,000; Full time

Job summary

Metlife is seeking a Site Reliability Engineer in Hyderabad to ensure highly available, scalable, and reliable data platforms and services. The role emphasizes observability, incident response, automation, and collaboration with engineering, data, and cloud teams.

The candidate will implement monitoring, runbooks, and governance-aligned procedures while contributing to resilient platform operations in a hybrid environment.

Qualifications

• 4+ years of experience in production support, DevOps, or data platform operations.
• Experience with incident, problem, and change management.
• Strong scripting/automation using Python, PowerShell, Bash, or Spark.
• Bachelor's degree in CS/Engineering or equivalent.
• Exposure to hybrid cloud environments, Azure-hosted services, regulated sectors is a plus.
• Business English and Japanese language skills are preferred.

Responsibilities

• Ensure availability, performance, scalability, and reliability of data platforms, pipelines, and services through proactive monitoring and timely issue resolution.
• Design, implement, and operate large-scale data systems with automation.
• Develop scripts, utilities, and reusable automation to reduce manual effort.
• Build and continuously improve monitoring, alerting, dashboards, and observability signals.
• Participate in incident response, root cause analysis, postmortems, and corrective actions.
• Maintain documentation, runbooks, processes, and governance-aligned procedures.

Skills

Python

PowerShell

Bash

Spark

Automation

DevOps

Education

Bachelor's degree in CS/Engineering

Tools

Azure

Azure Data Lake

Databricks

Kubernetes

Azure DevOps

Job description

Hi,

Greetings!

Hope you are doing well!

Please have a look at the below job description and let us know your interest.

Site Reliability Engineer

Location- Hyderabad

Mode- Hybrid

Interview mode- Face to Face

Date- 26th September 2026

Role Overview

A Site Reliability Engineer (SRE) will be responsible for ensuring highly available, scalable, performant, and reliable data platforms, pipelines, and services. The role will drive operational excellence, strengthen observability, improve incident response, reduce toil through automation, and collaborate with engineering, data, cloud, and operations teams to deliver resilient services and measurable business outcomes.

Key Responsibilities

• Ensure availability, performance, scalability, and reliability of data platforms, pipelines, and services through proactive monitoring, troubleshooting, and timely issue resolution.
• Design, implement, and operate large-scale data systems in partnership with engineering teams, using automation and tooling to streamline operations.
• Develop scripts, utilities, and reusable automation to reduce manual effort, minimize errors, improve efficiency, and support repeatable platform operations.
• Build and continuously improve monitoring, alerting, dashboards, and observability signals for early detection, faster response, and improved platform health.
• Participate in incident response, service restoration, root cause analysis, postmortems, and corrective actions to strengthen resilience and prevent recurring issues.
• Maintain clear documentation, runbooks, processes, and operational procedures while promoting knowledge sharing and alignment with governance, controls, and production support standards.

Candidate Qualifications

• 4+ years of experience in production support, DevOps, infrastructure, cloud operations, data platform operations, or software engineering.
• Experience supporting business-critical systems and working within incident, problem, and change management processes.
• Strong scripting and automation skills using Python, PowerShell, Bash, Spark, or equivalent technologies.
• Bachelor's degree in computer science, engineering, or equivalent practical experience.
• Exposure to hybrid cloud platforms, Azure-hosted services, regulated enterprise environments, insurance, banking, or financial services is preferred.
• Business proficiency in English and Japanese language skills is preferred.

Tech Stack

• Programming & Automation: Python, Spark, Bash, and PowerShell for automation, diagnostics, data processing, and operational tooling.
• Azure Data & Cloud Platforms: Azure Data Lake, Data Factory, Synapse Analytics, Azure SQL, Cosmos DB, Databricks, and hybrid production support environments.
• Observability & Reliability: Azure Monitor, Application Insights, Log Analytics, Splunk, AppDynamics, ELK, SLIs, SLOs, SLAs, incident management, RCA, and toil reduction.
• DevOps & Cloud-Native Operations: Azure DevOps, GitHub, Docker, Kubernetes, AKS, CI/CD, deployments, scalability, and platform reliability.
• Operations, Resilience & Collaboration: ServiceNow, ITSM, runbooks, disaster recovery, multi-region architecture, AI-assisted engineering tools such as GitHub Copilot or M365 Copilot, and cross-functional collaboration.