• Build automation workflows for MLOps, LLMOps, and application deployment within Databricks. • Enhance workspace onboarding automation including Unity Catalog, permissions, and environment setup. • Develop reusable modules for workspace provisioning, catalog configuration, model deployment, and governance workflows. • Integrate Mosaic AI components (Gateway, Model Serving, Agents) into platform automation. • Develop Python automation scripts for Databricks services including Unity Catalog, MLflow, Mosaic AI, Model Serving, Databricks Apps. • Ensure consistency, reliability, and scalability across multi‑workspace environments. • Implement automated rollback strategies, fail‑fast mechanisms, and environment stability checks. • Build integrations using AWS Lambda, API Gateway, and Service Principal authentication. • Automate Databricks Job orchestration, monitoring, and deployment pipelines. • Implement secure, scalable automation bridging AWS and Databricks.

• Design, build, and maintain AWS OpenSearch indexes, mappings, analyzers, and index templates • Develop .NET 8 (C#) backend services that ingest, index, and query data from OpenSearch • Implement and optimize OpenSearch query DSL for performance, relevance, and scalability • Design and maintain data ingestion pipelines that collect content from: Databases (relational and NoSQL), File-based sources (S3, documents, exports), External systems and APIs, Websites or content feeds (where applicable) • Normalize, enrich, and transform content prior to indexing (metadata extraction, text processing, field mapping) • Build and expose search APIs using AWS Lambda and API Gateway • Support batch and near–real-time indexing workflows • Deploy and operate services on AWS ECS and/or EC2 • Monitor, troubleshoot, and tune OpenSearch cluster health, indexing throughput, and query performance • Collaborate with frontend teams building React-based search experiences • Participate in architectural discussions around search relevance, scalability, and data modeling • Support client search deployments, including environment setup, tuning, and ongoing optimization • Write clean, maintainable, and well-tested backend code • Participate in code reviews and technical design discussions

• Help drive technical design and delivery of core platform capabilities spanning cloud infrastructure, Kubernetes platforms, Observability, CI/CD systems, and developer tooling • Architect, build, and operate cloud-native platforms on AWS with a focus on reliability, security, scalability, and cost efficiency • Lead the evolution of CI/CD pipelines and GitOps-based workflows • Build and maintain internal platform services and tooling that improve developer experience and delivery velocity • Continue to drive Infrastructure as Code and automation practices across teams • Partner with application teams to unblock delivery and align platform capabilities with developer needs • Participate in and/or lead complex, cross-team initiatives and provide technical clarity in ambiguous problem spaces • Improve operational excellence through observability, automation, and incident response • Mentor engineers and participate in on-call rotations

• Drive code standards & technical architecture norms • Own technical/engineering roadmap and architecture • Seek and implement best engineering practices • Participate in thorough code review to ensure quality and contribute to team momentum • Run day-to-day operations (standups, sprint planning, retrospective, issue triage)