Job Description

Role Value Proposition:

We are seeking a skilled Principal Cloud DevOps Engineer with 5+ years of experience in designing, building, implementing, and managing data, analytics, and DevOps expertise with CI/CD automation and MLOps platform on Azure Cloud. Will be responsible for ensuring Automated deployments, cost monitoring, operational observability, supporting data engineering, analytics, and machine learning workloads.

Key Responsibilities:

• Consult with business partners and data engineering teams to understand data platform challenges and opportunities. Analyze existing data workflows, pipelines, and infrastructure to identify areas for modernization and automation.

• Design and implement scalable data platform solutions tailored to business needs, including recommending the right technologies, architecting data pipelines, and defining infrastructure deployment strategies.

• Evaluate and select appropriate data platform tools, frameworks, and cloud-native services to optimize performance, cost, and reliability.

• Collaborate with data engineers, cloud architects, and cross-functional teams to deliver end-to-end data platform solutions. Ensure seamless integration of data services into existing systems and workflows.

• Build quick proof-of-concept prototypes to validate platform designs, pipeline architectures, and infrastructure automation approaches.

• Produce detailed documentation, including architectural diagrams, CI/CD pipeline definitions, runbooks, and implementation guidelines.

• Define and enforce DevOps best practices, including CI/CD pipeline design, version control strategies, and environment promotion workflows using Azure DevOps.

• Manage and automate the DevOps pipeline, ensuring repeatable, auditable, and consistent deployments across environments.

• Communicate platform designs and technical decisions clearly to both technical and non-technical stakeholders.

Essential Business Experience and Technical Skills:

Required:

• Bachelor's degree in Computer Science, Engineering, or related technical field, or 7+ equivalent professional experience will be considered

• Cloud Platforms: 5+ years of experience with Microsoft Azure, including deep knowledge of Azure services (Azure SQL, Cosmos DB, Azure Data Factory, Synapse, Databricks, Data Lake, Machine Learning, etc.)

• Containerization: Experience with Docker, Azure Container Instances, and Azure Kubernetes Service (AKS)

• DevOps Skills:

• CI/CD: Strong experience with Azure DevOps, GitHub Actions, Jenkins, or similar platforms

• Automation of infrastructure, application deployments using Azure DevOps Pipeline / GitHub actions.

• Programming: Proficiency in Python, PowerShell, Bash, and/or other scripting languages

• Monitoring & Logging: Experience with Azure Monitor, Log Analytics, Application Insights, or similar tools

• Data Engineering: Knowledge of data pipeline orchestration tools (Databricks, Azure Data Factory)

• Soft Skills:

• Excellent problem-solving and analytical skills

• Strong communication and collaboration abilities

• Ability to work in fast-paced, agile environments

• Leadership and mentoring capabilities

• Customer Service Orientation

Preferred:

• Azure Monitoring and Cost Optimization.

• Databricks Observability and Dashboard.

• Manage and automate the provisioning of cloud infrastructure using Terraform, ensuring repeatable, auditable, and consistent deployments across environments.

At MetLife, we're leading the global transformation of an industry we've long defined. United in purpose, diverse in perspective, we're dedicated to making a difference in the lives of our customers.

Equal Employment Opportunity/Disability/Veterans

If you need an accommodation due to a disability, please email us at [email protected]. This information will be held in confidence and used only to determine an appropriate accommodation for the application process.

MetLife maintains a drug-free workplace.

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