• Provide IT support for cloud-based compute and storage environments used to produce protected data products for research and dissemination • Administer distributed cloud platforms, including provisioning, configuration, monitoring, and lifecycle management for high-performance workloads • Support large data processing environments using frameworks such as Apache Spark and optimization tools • Establish and maintain operational parameters for deploying and executing data processing and dissemination workflows • Design and optimize cloud storage configurations, including data curation and removal of redundant datasets • Implement high performance computing (HPC), storage, and workflow optimizations • Deploy and manage monitoring and dashboard solutions to track cluster usage, performance, availability, and cost efficiency • Optimize resource utilization by identifying and terminating idle or unused compute resources • Manage user access, including account provisioning, role-based access, and deprovisioning • Install, configure, and maintain software, operating systems, and platform services, including Linux patching and updates • Produce operational and usage reports related to system performance and data storage • Provide guidance on cloud cost management, budgeting, and optimization strategies • Support agile project execution, including sprint planning, standups, retrospectives, and backlog management • Maintain Kanban or sprint boards and track tasks, milestones, and dependencies • Coordinate communication across engineering, operations, data science, and stakeholder teams • Identify and help resolve technical, operational, and process-related obstacles • Provide guidance on agile best practices and continuous improvement • Support data governance, data quality, and privacy protection requirements • Define and maintain project roles, responsibilities, and reporting structures • Develop and manage project schedules, deliverables, risks, and opportunities • Document and distribute meeting notes, action items, and decisions • Establish data transfer governance, standardized intake, validation, error handling, and repeatable evaluation workflows • Develop and maintain production-ready code, tools, and workflows to support data processing, experimentation, and dissemination, including testing and validation of outputs • Implement, monitor, and optimize cloud compute and storage environments, leveraging automation, infrastructure-as-code, and performance tuning for distributed processing frameworks • Manage source code, system updates, and operational tools, ensuring efficient collaboration, workflow tracking, and reliable execution of production and prototype workloads

• Resolve medium to complex incidents and perform root cause analysis • Act as an escalation point for junior engineers and customer care teams • Proactively identify and remediate recurring issues • Enhance monitoring configurations and address performance bottlenecks • Participate in on-call and escalation duty rotations • Participate in team learning sessions, technical discussions, and Agile ceremonies (daily stand-ups, sprint planning, reviews, retrospectives) • Perform health checks and performance assessments of Azure environments • Create and review customer insight and operational reports • Prepare and lead operational review meetings with customers • Maintain and continuously improve documentation for configurations, processes, and incident resolutions • Identify trends and provide proactive recommendations to improve customer environments and ways of working

• Lead cloud architecture design for JOMIS platforms and systems, including reference architecture, landing zone standards, environment design, and network segmentation • Define cloud hosting and connectivity approaches that support operational medicine systems, enterprise users, integrations, and deployed environments • Document, propose, and pressure test solution design options for cloud hosting and optimization solution designs including clear tradeoffs, recommended course(s) of action, and decisions to be made • Drive reliability and performance practices, including scalability planning, resiliency patterns, disaster recovery strategies, and uptime targets • Support modernization efforts by contributing to legacy system migration planning, transition architectures, and phased implementation roadmaps • Partner with cybersecurity teams to ensure architectures align with Zero Trust principles, identity-based access, encryption, auditing, and continuous monitoring requirements • Establish and maintain cloud governance practices, including architecture review processes, technical standards, and reusable patterns across teams and vendors • Guide DevSecOps platform architecture, including CI/CD pipelines, infrastructure as code, automated compliance evidence, and environment promotion strategies • Provide clear and concise briefings to government and BCG leadership on cloud architecture decisions, risks, tradeoffs, and delivery impacts, along with a perspective on recommended course(s) of action • Develop and maintain architecture documentation, including system context diagrams, deployment views, interface mappings, and DoDAF-aligned artifacts when required

• Lead and contribute to Infrastructure as Code initiatives using Terraform. • Help define and improve our cloud infrastructure on Azure. • Work closely with engineering teams to streamline deployments and build robust CI/CD pipelines. • Support our shift toward containerization (e.g. Kubernetes). • Collaborate with teams across the business to support growth, scalability, and automation. • Participate in a rotating on-call schedule to support uptime and stability.