Role Description The Power Platform Developer will work with our team of IT professionals to design, develop, and maintain customized Power Platform solutions to streamline and automate business processes for government clients. The Developer will work with business and technical stakeholders to develop and document requirements, define constraints, and identify, build, and deploy best-fit technical solutions. Responsibilities include but are not limited to: - Experience building and managing Power Apps solutions to customize the user interface (UI) while using SharePoint as the framework for managing pages and content. - Creating a scalable and secure data foundation using Microsoft Dataverse, including the ability to establish data relationships and normalize data. - Hands-on experience designing, building, and managing relational data models in Dataverse. - Hands-on experience building Power Automate Flows and Power BI for creating dashboards and analytics. - Ability to manage the full software development life cycle (SDLC) of business solutions, including documenting, testing, and demonstrating solutions to government clients. Company Description SAIC® is a premier Fortune 500® mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, civilian and intelligence markets includes secure high-end solutions in mission IT, enterprise IT, engineering services and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives. - We are approximately 24,000 strong; driven by mission, united by purpose, and inspired by opportunities. - SAIC is an Equal Opportunity Employer. - Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.5 billion.

• Lead and grow a team of senior data platform engineers building Kraken's real-time streaming infrastructure. • Own the architecture and roadmap for high-volume low-frequency data systems. • Design and operate scalable data architecture that serve trading, risk, compliance, analytics and many product teams. • Drive adoption of AI automation and intelligent workflows. • Partner with ML/AI, analytics, and product engineering teams to deliver platform capabilities. • Evolve Kraken's data-lake and warehouse architecture to support both batch and streaming workloads seamlessly. • Set technical direction for the team — balancing reliability, velocity, and cost efficiency at scale. • Hire, mentor, and retain top-tier platform engineers; build a culture of ownership and technical excellence.

• Lead and grow a team of senior data platform engineers building Kraken's real-time streaming infrastructure • Own the architecture and roadmap for high-volume low-frequency data systems, with focus on data stack like Spark, Kafka, Iceberg, RisingWave, Apache Flink • Design and operate scalable data architecture that serve trading, risk, compliance, analytics and many product teams. • Drive adoption of AI automation and intelligent workflows — automating data quality checks, pipeline orchestration, anomaly detection, and self-healing infrastructure • Partner with ML/AI, analytics, and product engineering teams to deliver platform capabilities that accelerate their work • Evolve Kraken's data-lake and warehouse architecture to support both batch and streaming workloads seamlessly • Set technical direction for the team — balancing reliability, velocity, and cost efficiency at scale • Hire, mentor, and retain top-tier platform engineers; build a culture of ownership and technical excellence

• Design, build, and operate a multi-tenant Kubernetes platform using Cluster API (CAPI) with bare-metal providers (Metal3/Sidero). • Implement hard multi-tenancy using vCluster (Loft Labs) or similar technology, providing isolated Kubernetes API servers per tenant. • Deploy and manage KubeVirt for VM orchestration within Kubernetes, including CPU pinning, NUMA awareness, and HugePages configuration. • Implement GitOps-driven infrastructure using ArgoCD or Flux as the single source of truth for all cluster configurations. • Deploy and manage Policy-as-Code using Kyverno or OPA Gatekeeper for admission control, resource quotas, and security policies. • Build self-service capabilities using Crossplane or similar Kubernetes-native infrastructure provisioning tools. • Operate and optimize Ceph distributed storage clusters (currently 1 PiB raw, 149 OSDs, Quincy 17.2.5). • Manage Rook-Ceph operator deployments at scale on modern Kubernetes (v1.28+). • Implement storage tiering: Ceph for bulk storage, local NVMe for high-IOPS workloads, LINSTOR/DRBD or TopoLVM for ultra-fast replicated storage. • Deploy and manage overlay networks for pod networking, micro-segmentation, and WireGuard/IPsec encryption. • Practice SRE discipline: define and maintain SLOs with error budgets, implement proactive capacity management with 6-12 month forecasting. • Develop and maintain Terraform/OpenTofu modules for multi-cloud infrastructure provisioning. • Write Ansible playbooks for bare-metal server configuration and fleet management.