Morgan Stanley

In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Lead Infrastructure Production Management & Reliability Engineering position at the Director level, which is part of the job family responsible for maintaining the stability and reliability of the organization's infrastructure systems, ensuring optimal performance and availability to support business operations.

Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals.

Interested in joining a team that’s eager to create, innovate and make an impact on the world? Read on.

Role Profile:

We are looking for a Senior Databricks AI Platform Engineer to join our Platform Engineering team. This role will be critical in designing, building, and optimizing a scalable, secure, and developer-friendly Databricks platform to enable Machine Learning (ML) and Artificial Intelligence (AI) workloads at enterprise scale. You will partner with ML engineer, data scientists, platform teams, and cloud architects to automate infrastructure, enforce best practices, and streamline the end-to-end ML lifecycle using modern cloud-native technologies.

What you’ll do in the role:

• 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 Python, 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

What you’ll bring to the role:

• 5+ years of experience in Engineering or a related field.
• Proven experience with Terraform for building and managing infrastructure.
• Strong programming skills in Python and 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

Desired Skills:

• Experience with Databricks REST APIs and SDKs
• Knowledge of MLFlow, Mosaic AC, & MLOps tooling
• Working with teams using Scrum, Kanban or other agile practices

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. 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. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. 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.

Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. 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.

Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).