• Identify common design and implementation needs across application engineering teams • Create and maintain high-quality documentation, reference architectures, and implementation guides • Develop reusable artifacts such as Terraform or similar modules, code templates, and example implementations • Partner with enterprise platform and foundation teams • Collaborate with architects to translate architectural principles • Contribute to and evolve AI-assisted developer workflows • Evaluate and choose the right medium for enablement • Gather feedback from application teams and iterate on paved paths • Advocate for a developer-centric approach to platform adoption

• Design, build, and optimize ETL/ELT data pipelines using Azure and GCP services • Develop and maintain optimized data models within multi-cloud data warehouse solutions • Monitor and optimize the performance of data warehouse queries • Collaborate with Data Scientists to design feature stores and pipelines for ML models • Implement workflows to automate the end-to-end data lifecycle for AI/ML processes • Work with Data Science teams to deploy and manage machine learning models in production environments • Write complex SQL queries and develop scripts in Python for data manipulation

• Assist the Chief Engineer by leading the implementation, scaling, and day-to-day maturity of enterprise-wide CI/CD pipelines. • Evaluate, prototype, and integrate emerging DevSecOps tools, automated security scanning, and container hardening techniques to optimize the Cloud One ecosystem. • Implement and maintain complex Infrastructure as Code (IaC) and Configuration as Code (CaC) scripts tailored for DoD Impact Levels (IL) 2, 4, 5, and 6. • Support the Chief Engineer in reviewing cloud configurations across AWS, Azure, GCP, and OCI to ensure alignment with security and resiliency goals. • Assist in embedding automated configuration monitoring and continuous Authorization to Operate (cATO) strategies into the delivery pipeline to meet RMF and STIG requirements. • Serve as the tactical, hands-on mentor for cross-functional DevOps and engineering teams, translating the Chief Engineer's high-level strategy into technical reality.

• Configure, maintain, and optimize Identity Provider (IdP) solutions to ensure secure single sign-on (SSO) and access management capabilities. • Manage and support Active Directory (AD) and Lightweight Directory Access Protocol (LDAP) environments, ensuring proper schema management, synchronization, and access controls. • Develop, integrate, and maintain continuous integration and continuous deployment (CI/CD) pipelines to automate infrastructure and application deployment. • Utilize identity data virtualization tools to integrate complex, disparate identity repositories.