JOB DESCRIPTION
Join us for an exciting opportunity to advance your DevOps career while shaping scalable data engineering solutions on Databricks.
Job summary
As a DevOps Engineer at JPMorgan Chase within Corporate Technology, you will design, implement, and maintain robust analytics solutions on Databricks. You will collaborate with diverse teams to deliver secure, scalable, and automated cloud infrastructure that supports business objectives.
Job responsibilities
Deploy, configure, and manage Databricks workspaces, clusters, and jobs in cloud environments
Design and implement CI/CD pipelines for Databricks notebooks and data pipelines using modern tools
Automate infrastructure provisioning and configuration with Infrastructure as Code tools
Set up monitoring, logging, and alerting for Databricks workloads to optimize performance and cost
Collaborate with data engineers, data scientists, and platform teams to support analytics solutions
Implement security best practices and manage access controls to ensure compliance
Diagnose and resolve issues related to Databricks jobs, clusters, and integrations
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 3+ years applied experience
Experience in DevOps or cloud engineering roles
Hands-on experience with Databricks in a production environment
Proficient in cloud platforms such as Azure, AWS, or GCP
Experience with CI/CD tools including Azure DevOps, Jenkins, or GitHub Actions
Strong scripting skills in Python, Bash, or PowerShell
Experience with Infrastructure as Code tools such as Terraform, ARM, or CloudFormation
Preferred qualifications, capabilities, and skills
Databricks certification
Experience with Spark, Delta Lake, or MLflow
Knowledge of containerization technologies such as Docker or Kubernetes
Experience with enterprise security and compliance standards
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