Designs, builds, and operates reliable Azure infrastructure for data platforms. Develops Terraform infrastructure as code, CI/CD pipelines, observability, SLOs, incident response processes, and automation. Partners with security and governance teams on Azure policies, RBAC, and platform guardrails. Mentors engineers and drives engineering standards. The role requires strong Azure, Terraform, DevOps, scripting, monitoring, and incident management experience, with preferred experience in data services, Kubernetes, certifications, and regulated industries.
Description and Requirements
Senior Site Reliability Engineer - Data Platforms (Azure)
About the role
Our Data Platforms team builds and runs the cloud foundation that data products depend on. We are looking for a Senior SRE to help keep our Azure platform reliable, secure, and fully automated. You will work with engineers across teams. You will write code, not just run systems, and you will help set the standard for how we build and operate.
What you will do
What you bring
Nice to have
Why join us
You will work on a platform that matters, with real ownership and room to shape how we do things. We value learning, automation, and a healthy on-call culture.
About MetLife
Recognized on Fortune magazine's list of the "World's Most Admired Companies" and Fortune World's 25 Best Workplaces™, MetLife, through its subsidiaries and affiliates, is one of the world's leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East.
As part of our New Frontier strategy, MetLife is building an AI-enabled, people-centered future. We're looking for people who bring curiosity, adaptability, and a growth mindset as we use AI to enhance how we serve customers, support communities, and evolve the way work gets done. At MetLife, AI is a responsible partner that supports human judgment, creativity, and continuous improvement while helping us build trust, inclusion, and long-term value.
Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we're inspired to transform the next century in financial services. At MetLife, it's #AllTogetherPossible . Join us!
#BI-Hybrid
Senior Site Reliability Engineer - Data Platforms (Azure)
About the role
Our Data Platforms team builds and runs the cloud foundation that data products depend on. We are looking for a Senior SRE to help keep our Azure platform reliable, secure, and fully automated. You will work with engineers across teams. You will write code, not just run systems, and you will help set the standard for how we build and operate.
What you will do
- Design, build, and run Azure infrastructure for our data platform, following the Microsoft Cloud Adoption Framework (CAF) and landing zone principles.
- Write and maintain Infrastructure as Code with Terraform. This includes reusable modules, remote state, and safe, tested changes.
- Build and improve CI/CD pipelines (Azure DevOps or GitHub Actions) for infrastructure and platform releases.
- Define SLIs, SLOs, and error budgets with product and engineering teams.
- Set up monitoring, logging, and alerting (Azure Monitor, Log Analytics, Grafana or similar) so issues are found early.
- Lead incident response and write blameless post-incident reviews. Follow up until the fixes are done.
- Automate repetitive work to reduce manual effort.
- Work with security and governance teams so the platform meets policy, using Azure Policy, RBAC, and guardrails.
- Mentor engineers and share good practices across the team.
What you bring
- 6-9 years in SRE, DevOps, or cloud engineering.
- Strong hands-on experience with Microsoft Azure (networking, identity, storage, compute, and governance).
- Good working knowledge of CAF and Azure landing zones.
- Strong Terraform skills, with proven delivery of production IaC.
- Solid DevOps practices: Git workflows, CI/CD, and automated testing.
- Scripting or coding skills in Python, PowerShell, or Bash.
- Good understanding of observability, incident management, and capacity planning.
- Clear communication and a habit of working well with others.
Nice to have
- Hands-on experience with Azure Log Analytics and writing KQL queries for troubleshooting, dashboards, and alerts.
- Experience with data services such as Azure Databricks, Data Factory, Synapse, or Data Lake.
- Kubernetes (AKS) and containers.
- Azure certifications such as AZ-104, AZ-400, or AZ-305, or HashiCorp Terraform Associate.
- Experience in a regulated industry, such as financial services or insurance.
Why join us
You will work on a platform that matters, with real ownership and room to shape how we do things. We value learning, automation, and a healthy on-call culture.
About MetLife
Recognized on Fortune magazine's list of the "World's Most Admired Companies" and Fortune World's 25 Best Workplaces™, MetLife, through its subsidiaries and affiliates, is one of the world's leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East.
As part of our New Frontier strategy, MetLife is building an AI-enabled, people-centered future. We're looking for people who bring curiosity, adaptability, and a growth mindset as we use AI to enhance how we serve customers, support communities, and evolve the way work gets done. At MetLife, AI is a responsible partner that supports human judgment, creativity, and continuous improvement while helping us build trust, inclusion, and long-term value.
Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we're inspired to transform the next century in financial services. At MetLife, it's #AllTogetherPossible . Join us!
#BI-Hybrid
Similar Jobs at MetLife
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Develops automated testing frameworks and validation strategies for applications, APIs, microservices, cloud platforms, and AI systems. Designs functional, integration, regression, and end-to-end tests; evaluates generative AI, LLM, RAG, and agentic workflows for accuracy, groundedness, hallucinations, relevance, and latency. Collaborates with developers, architects, AI engineers, and DevOps teams to improve release quality and CI/CD automation.
Top Skills:
Agentic AiAzure App ServicesAzure DevopsAzure OpenaiAzure Sql DatabaseAzure StorageBlazemeterCi/CdCucumberCypressDockerEntra IdGenerative AiJavaJavaScriptJenkinsJmeterLangchainLanggraphLlmMicroservicesNewmanOauthPlaywrightPostmanPytestPythonRagRest ApisRestassuredSeleniumSelenium GridSemantic KernelTestngTypescriptVector Databases
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Develop and maintain automated testing frameworks and validation strategies for applications, APIs, microservices, cloud-native systems, and AI solutions. Design evaluations for Generative AI, LLM, RAG, and agentic systems, measuring accuracy, relevance, groundedness, hallucinations, response quality, and latency. Collaborate with engineering and DevOps teams to improve test coverage, release confidence, and CI/CD quality.
Top Skills:
Azure App ServicesAzure DevopsAzure OpenaiAzure Sql DatabaseAzure StorageBlazemeterCi/CdCucumberCypressDockerEntra IdJavaJavaScriptJenkinsJmeterLangchainLanggraphMicroservicesNewmanOauthPlaywrightPostmanPytestPythonRagRest ApisRestassuredSeleniumSelenium GridSemantic KernelTestngTypescript
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Designs and maintains automated testing frameworks and validation strategies across UI, API, backend, integration, and end-to-end applications. Tests traditional software and AI systems, including Generative AI, LLM, RAG, and agentic workflows. Develops benchmark datasets and evaluation pipelines, validates accuracy, groundedness, relevance, hallucinations, latency, and response quality, and supports Agile, DevOps, cloud-native, and CI/CD delivery teams.
Top Skills:
Azure App ServicesAzure DevopsAzure OpenaiAzure Sql DatabaseAzure StorageBlazemeterCi/CdCucumberCypressDockerJavaJavaScriptJenkinsJmeterLangchainLanggraphMicrosoft Entra IdNewmanOauthPlaywrightPostmanPytestPythonRestassuredSeleniumSelenium GridSemantic KernelTestngTypescriptVector Databases
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

