• Design and deploy scalable, resilient multi-cloud architectures (Azure, AWS, GCP) • Create, maintain, and refactor complex Terraform modules from scratch • Develop and manage Ansible playbooks, roles, and collections • Enable the business to leverage AI by managing and scaling cognitive services • Translate high-level business requirements into technical blueprints • Build and maintain robust delivery pipelines in Azure DevOps

• Build and operate scalable backend services and internal APIs for the AI platform. • Integrate LLMs and AI tool execution into reliable, production-ready workflows. • Own production reliability for AI platform infrastructure through observability, alerting, and incident response. • Improve performance and cost efficiency of AI runtimes through profiling, tuning, and capacity planning. • Contribute to shared infra: CI/CD, observability, deployments

• Develop reusable ingestion frameworks (Python/Airflow/AWS Glue) for APIs and unstructured sources beyond Fivetran, handling various data formats (JSON, Parquet, etc.). • Own the end-to-end Medallion (bronze/silver/gold) architecture for core domains, ensuring robust lineage and metadata across diverse data sources. • Implement data observability (native tests, alerts, lineage hooks); lead incident management and root-cause analysis (RCA) for data. • Help standardize reusable “paved-road” patterns (e.g. CI templates, ingestion operators) to improve developer productivity. • Prepare datasets for AI/LLM use cases (feature stores, embeddings/RAG prep).

• Architect and manage AWS infrastructure that supports a high-availability PHP/JavaScript application stack using Terraform to define and provision resources. • Own and improve the CI/CD pipeline built with GitHub Actions and CodePipeline to support reliable deployments with fast feedback to the devs. • Lead initiatives to scale and tune our MySQL-based data layer, including replication, backups, monitoring, and performance optimization. • Ensure our environments meet security and compliance standards (e.g., HIPAA, SOC 2) and participate in security reviews, incident response planning, and disaster recovery readiness. • Design network architecture and IAM policies to minimize risk and follow best practices. • Define and refine lightweight, high-leverage processes —automating where it counts, documenting the important stuff, and avoiding ceremony that doesn't add value. • Expand system observability via metrics, logging, and alerting across our stack. • Advocate for DevOps best practices across engineering.