Site Reliability Engineer (SRE – Azure Databricks)

A global and one of the world’s largest Insurance Service provider is seeking an experienced Site Reliability Engineer (SRE – Azure Databricks) to join its Data Management Office (DMO).

Responsibilities:
- Maintain and improve the reliability, availability, and performance of Azure Databricks and cloud-based data platforms
- Monitor Databricks jobs, clusters, workflows, and data pipelines, resolving production incidents and performance issues
- Troubleshoot technical problems involving Databricks, Spark, SQL, and Azure cloud services
- Build and maintain CI/CD pipelines using Azure DevOps, YAML, and automation tools
- Support AI/ML workloads running on Databricks, including model pipelines, deployment, and operational monitoring
- Support Data Governance activities, including data access controls, permissions, data security, and compliance requirements
- Automate monitoring, alerting, deployments, and recovery processes to improve operational efficiency
- Collaborate with Data Engineering, AI/ML, Cloud, and Security teams to improve platform stability and reliability

Required Skills:
- 5+ years of experience in Site Reliability Engineering, Cloud Engineering, Data Platform Engineering, or related technical roles
- Azure Databricks: Strong hands-on experience with Databricks administration, jobs, clusters, workflows, performance monitoring, and troubleshooting
- Apache Spark & SQL: Good understanding of Spark/PySpark, SQL, and large-scale data processing
- Microsoft Azure: Experience with Azure cloud services, data platforms, monitoring, and infrastructure operations
- CI/CD & Automation: Experience with Azure DevOps, YAML pipelines, scripting (Python or PowerShell), and operational automation
- SRE & Production Support: Strong experience with monitoring, incident management, root cause analysis, and improving system reliability
- AI/ML: Understanding of Machine Learning workflows, AI/ML pipelines, and the operational requirements of production AI environments
- Data Governance: Understanding of data access management, security policies, permissions, and data governance concepts

Why should you apply:
- Modern Data & AI Technologies: Work with Azure Databricks, AI/ML platforms, and enterprise Data Governance solutions
- Global Insurance Leader: Support large-scale cloud and data transformation initiatives at MetLife Japan
- Hands-On Technical Role: Gain experience managing and improving complex enterprise data platforms
- International Environment: Collaborate with global Data Engineering, Cloud, AI, and Cybersecurity teams
- Long-Term Opportunity: Potential for contract extensions and continued involvement in enterprise technology initiatives


Company Details:
A US based world’s leading insurance providers, offering a broad range of life, health, and retirement solutions to individuals, families, and businesses. The company is heavily invested in digital transformation, utilizing advanced technologies like cloud computing, data analytics, AI, and cybersecurity to enhance customer experience and streamline operations. As part of its values, it has a strong focus on creating a diverse environment, and in particular on the appointment of women in high-level position.

Working Hours: 9:00 - 18:00 (Mon-Fri)
Working Style: 3 days’ work in office, and 2 days’ work from home
Holidays: Saturday, Sunday, National Holidays, Year-end and New Year Holidays, Paid Holidays
Services/Benefits: Transportation expenses up to 20,000 yen per month, plus Paid leave, plus social insurance (health insurance, welfare pension, and work-related accident insurance), Periodic health examination, and Employment insurance