• Build and maintain core AI infrastructure and tooling, including runtimes, model gateways, orchestration layers, and SDKs. • Deliver reusable components that simplify AI development workflows — such as agent orchestration (e.g., LangGraph), vector search (e.g., Weaviate or PGVector), prompt management, and model routing (e.g., LiteLLM). • Work closely with product and infrastructure engineers to solve real pain points, ensuring teams can adopt and scale AI effectively. • Operationalize AI in production by implementing monitoring, evaluation, and fallback systems that keep features reliable and performant. • Drive features from prototype through production rollout, focusing on execution and delivery. • Keep up to date with emerging AI platform tools and frameworks, applying them where they improve team velocity and product reliability. • Share best practices with peers and contribute to building a strong engineering culture on the team.

• Design, build and operate multi-tenant Red Hat OpenShift clusters in enterprise environments • Deploy and manage OpenShift platform services, including: RHACM (Advanced Cluster Management), RHACS (Advanced Cluster Security) • Implement and operate container-native storage solutions:ODF (OpenShift Data Foundation), Ceph (Rook) / NooBaa • Implement GitOps workflows using Argo CD for platform and application lifecycle management • Deploy and manage OpenShift Virtualization for VM-based workloads • Integrate and operate OpenShift AI solutions: Ray / Dask, XGBoost, NVIDIA GPU Operator • Automate platform operations using Ansible Automation Platform (AAP/AWX) • Configure and manage networking components such as MetalLB • Ensure platform stability, scalability, security and compliance • Collaborate with infrastructure, cloud and application teams • Contribute to platform documentation, standards and best practices

• Implement and manage Infrastructure-as-Code (IaC) modules to reliably provision and configure customer environments. • Support deploying and managing UDS environments across AWS EKS, Azure AKS, and on-prem for government-backed commercial vendors. • Build and maintain custom UDS packages and application-specific modules, enabling streamlined deployment of customer environments. • Adhere to SLA commitments, including on-call support for critical UDS issues in customer environments. • Serve as the primary technical interface for System Integrators and mission heroes, providing guidance, troubleshooting, and resolution of complex UDS issues. • Develop and deliver technical training content tailored to mission hero needs, including remote and on-site sessions demonstrating platform features and best practices. • Coordinate customer onboarding and ensure smooth adoption of UDS deployments. • Gather feedback from mission heroes and the community to provide actionable insights to internal teams, improving products, services, and deployment processes. • Collaborate with cross-functional teams for improvements to capabilities and strategies for improving deployment efficiency and customer outcomes. • Analyze operational and usage data to identify trends, optimize delivery strategies, and drive process improvement. • Experiment with new tools, techniques, and technologies to improve mission outcomes. • Contribute to a culture of innovation and continuous improvement within the organization.

• Design, deploy, and operate highly available, scalable, and secure Kubernetes clusters and supporting infrastructure. • Develop and maintain a consumable platform of open-source, cloud-native applications and tooling for mission software teams. • Build and enhance automation frameworks to streamline platform deployment, upgrades, and day-to-day operations. • Collaborate with development teams to architect and support CI/CD pipelines and workflows for containerized applications. • Implement and enforce Kubernetes security best practices, including RBAC, network policies, secret management, and security hardening. • Support complex Kubernetes use cases, including edge deployments and environments with intermittent connectivity. • Perform capacity planning, resource optimization, and performance tuning to ensure efficient platform utilization. • Partner with security teams to identify, remediate, and prevent vulnerabilities through audits and continuous improvement. • Evaluate emerging Kubernetes features, tools, and technologies, recommending enhancements to improve platform reliability and usability. • Document platform architectures, configurations, and operational procedures to support knowledge sharing and long-term sustainability.