Director - Java Developer - AI & Databricks Engineering

Design and implement secure, scalable, and automated Databricks environments to support AI/ML workloads. Develop infrastructure-as-code (IaC) solutions using Terraform for provisioning Databricks, cloud resources, and network configurations. Build automation and self-service capabilities using Java and APIs for platform onboarding, workspace provisioning, orchestration and monitoring. Collaborate with data science and ML teams to define compute requirements, governance policies, and efficient workflows across dev/qa/prod environments. Integrate Databricks offering with cloud-native services on Azure/AWS Champion CI/CD and GitOps for managing ML infrastructure and configurations. Ensure compliance with enterprise security and data governance policies using RBAC, Audit Controls, Encryption, Network Isolation, and policies. Monitor platform performance, reliability, and usage, and drive improvements to optimize cost and resource utilizations 5+ years of experience in Engineering or a related field. Proven experience with Terraform for building and managing infrastructure. Strong programming skills in Java. Proficiency with standard Linux command line and debugging tools. Hands-on experience with cloud networking, identity and access management, key vaults, monitoring, and logging in Azure. Hands on experience with Databricks (Workspace management, Clusters, Jobs, MLFlow, Delta Lake, Unity Catalog, Mosaic AI). Deep understanding of Azure or AWS infrastructure (e.g. IAM, VNets/VPC, Storage, Networks, Compute, Key management, monitoring). Strong experience in distributed system design, development and deployment using agile/devops practices. Experience with CI/CD pipelines (GitHub Actions, or similar). Experience implementing monitoring and observability using Prometheus, Grafana or Databricks-native solutions. Good communication skills, excellent teamwork experience, ability to mentor and develop more junior developers, including participating in constructive code reviews Experience with Databricks REST APIs and SDKs Knowledge of MLFlow, Mosaic AC, & MLOps tooling Working with teams using Scrum, Kanban or other agile practices Strong programming skills in Python Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. Expected base pay rates for the role will be between $95,000 and $135,000 per year at the commencement of employment. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees. It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.