• Drive execution and technical excellence across cloud platform projects • Set infrastructure standards, conduct design and code reviews, and guide architectural decisions • Shape the cloud platform roadmap in partnership with product and engineering leadership • Foster a culture of ownership, quality, automation, and continuous improvement • Design, build, and operate scalable AWS infrastructure using Infrastructure as Code • Build and maintain Kubernetes-based platforms, including EKS, and container workflows for application teams • Build self-service tooling and paved paths that enable teams to deploy and operate services safely • Ensure the platform reliably supports both application and data workloads • Design platform capabilities with reliability, scalability, security, and cost efficiency in mind • Optimize cloud systems for performance, scalability, resilience, and cost efficiency • Identify and resolve infrastructure bottlenecks, scaling limits, and reliability risks • Establish reliability practices, including SLIs, SLOs, error budgets, and incident response • Improve observability, maintainability, and operational readiness across cloud platform services • Partner with backend, SRE, data, autonomy, and security teams to deliver platform capabilities across the stack • Support end-to-end system design from edge devices to cloud infrastructure • Coordinate across teams to build and maintain release processes and CI/CD pipelines • Help align platform capabilities with product, engineering, security, and mission needs • Enforce secure cloud practices, including IAM least privilege, secrets management, and network segmentation • Maintain high standards for automation, testing, observability, documentation, and infrastructure reliability • Support technical reviews, design discussions, and production readiness efforts • Build systems with security, scalability, and long-term maintainability in mind

• Drive execution and technical excellence across cloud platform projects • Set infrastructure standards, conduct design and code reviews, and guide architectural decisions • Contribute to the cloud platform roadmap in partnership with product and engineering leadership • Foster a culture of ownership, quality, automation, and continuous improvement • Design, build, and operate scalable AWS infrastructure using Infrastructure as Code • Build and maintain Kubernetes-based platforms, including EKS, and container workflows for application teams • Build self-service tooling and paved paths that enable teams to deploy and operate services safely • Ensure the platform reliably supports both application and data workloads • Design platform capabilities with reliability, scalability, security, and cost efficiency in mind • Optimize cloud systems for performance, scalability, resilience, and cost efficiency • Identify and resolve infrastructure bottlenecks, scaling limits, and reliability risks • Establish reliability practices, including SLIs, SLOs, error budgets, and incident response • Improve observability, maintainability, and operational readiness across cloud platform services • Partner with backend, SRE, data, autonomy, and security teams to deliver platform capabilities across the stack • Support end-to-end system design from edge devices to cloud infrastructure • Coordinate across teams to build and maintain release processes and CI/CD pipelines • Help align platform capabilities with product, engineering, security, and mission needs • Enforce secure cloud practices, including IAM least privilege, secrets management, encryption, and network segmentation • Maintain high standards for automation, testing, observability, documentation, and infrastructure reliability • Champion a DevSecOps culture by embedding security into CI/CD pipelines and the software development lifecycle • Implement cloud security controls, vulnerability management, and continuous compliance monitoring • Support compliance with frameworks such as FedRAMP, NIST 800-53, and DoD Impact Levels, including IL4 and IL5 • Build systems with security, scalability, and long-term maintainability in mind

• Evaluate and recommend new technologies to solve complex challenges for bioinformatics and business systems: • Understand all existing Adaptive production systems and how they interact with each other • Keep up to date with new and rapidly evolving cloud technologies and identify opportunities to improve existing Adaptive systems without compromising stability or security. • Ensure all new technologies can be deployed with appropriate regulatory considerations where applicable. • Function as technical lead on implementation of solutions in Microsoft Azure: • Oversee end-to-end implementation of solution deployments in Azure. • Mentor and function as technical lead to other Cloud Engineers. • Document all systems and designs for future supportability. • Provide technical advice and support to software development engineers, scientists, and other staff • Partner with Quality Assurance and Release Management teams to ensure best practices around software releases. • Ensure the security and protection of company systems and data by maintaining compliance with Adaptive security and information handling policies. • All other duties as assigned.

• Design, implement, and review enterprise-grade AWS cloud architectures • Define architecture standards, best practices, and cloud platform guidelines • Ensure solutions meet requirements for scalability, high availability, security, and disaster recovery • Lead architecture discussions and technical reviews with business, security, development, and operations teams • Advise engineering teams on cloud-native approaches and implementation decisions