Join our team as a **Senior AI Platform Engineer,** where you will design, deploy, and maintain next\-generation Databricks platforms on AWS to support advanced analytics and machine learning workflows. You will collaborate closely with data scientists and ML engineers to deliver a seamless developer experience on the Lakehouse. Apply now to contribute to cutting\-edge AI infrastructure development. **Responsibilities** * Design and implement scalable Databricks platform solutions for analytics, ML, and GenAI workflows across development, testing, and production environments * Administer and optimize Databricks workspaces including cluster policies, pools, job clusters, autoscaling, and GPU/accelerated compute * Implement and manage Unity Catalog governance including metastores, catalogs, schemas, data sharing, masking, lineage, and access controls * Build and maintain Infrastructure as Code using Terraform for reproducible platform provisioning and configuration * Implement CI/CD pipelines for notebooks, libraries, DLT pipelines, and ML assets using GitHub Actions and Databricks APIs * Standardize experiment tracking, model registry workflows, and deploy model serving endpoints with monitoring and rollback capabilities * Develop and optimize Delta Lake batch and streaming pipelines using Auto Loader, Structured Streaming, and DLT, enforcing data quality and SLAs * Collaborate with cross\-functional teams to integrate platform capabilities and ensure best\-in\-class developer experience * Monitor platform performance, troubleshoot issues, and implement improvements to ensure reliability and scalability * Maintain documentation and automation runbooks for platform operations and governance * Coordinate with security teams to enforce data governance, encryption, and compliance policies * Promote best practices for coding, testing, and deployment within the platform engineering team * Drive continuous improvement in platform automation and operational efficiency * Engage with stakeholders to gather requirements and provide technical guidance * Mentor junior engineers and share knowledge of platform technologies **Requirements** * Proven hands\-on experience administering Databricks on AWS including Unity Catalog governance and enterprise integrations, with 3\+ years in platform engineering * Strong foundation in AWS services such as VPC, IAM, KMS, S3, CloudWatch, and network architecture * Proficiency with Terraform including databricks provider, and experience with Infrastructure as Code for cloud resources * Advanced Python and SQL skills with experience packaging libraries and managing notebooks and repos * Experience with MLflow for experiment tracking, model registry, and familiarity with model serving endpoints * Knowledge of Delta Lake, Auto Loader, Structured Streaming, and DLT * Experience implementing DevOps automation, CI/CD pipelines, and using GitHub Actions or similar tools * Strong Git and GitHub proficiency including code review and branching strategies * Familiarity with REST APIs, Databricks CLI, and scripting for automation * Excellent communication and stakeholder management skills * Ability to work independently and within a distributed team environment * Detail\-oriented with strong problem\-solving and organizational skills * English proficiency at B2 (Upper\-Intermediate) level or higher **Nice to have** * Experience with AWS EKS and Kubernetes * Familiarity with MLOps practices and pipeline automation * Knowledge of attribute\-based access control and advanced data governance concepts * Experience with Secrets management and SSO/SCIM provisioning * Certification in AWS or Databricks platform engineering **We offer** * Career plan and real growth opportunities * Unlimited access to LinkedIn learning solutions * International Mobility Plan within 25 countries * Constant training, mentoring, online corporate courses, eLearning and more * English classes with a certified teacher * Support for employee’s initiatives (Algorithms club, toastmasters, agile club and more) * Enjoyable working environment (Gaming room, napping area, amenities, events, sport teams and more) * Flexible work schedule and dress code * Collaborate in a multicultural environment and share best practices from around the globe * Hired directly by EPAM \& 100% under payroll * Law benefits (IMSS, INFONAVIT, 25% vacation bonus) * Major medical expenses insurance: Life, Major medical expenses with dental \& visual coverage (for the employee and direct family members) * 13 % employee savings fund, capped to the law limit * Grocery coupons * 30 days December bonus * Employee Stock Purchase Plan * 12 vacations days * Official Mexican holidays, plus 5 extra holidays (Maundry Thursday and Friday, November 2nd, December 24th \& 31st) EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi\-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting\-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential. *By applying to our role, you are agreeing that your personal data may be used as in set out in EPAM´s Privacy Notice and Policy.*