Platform Engineer (Cloud-Native AI/ML Systems Integration)

Location: Dayton, OH (preferred) | Remote Eligible (CAC Access Required)Clearance: TS/SCI PreferredBuild the Infrastructure That Makes AI Mission-ReadyAs a Platform Engineer, you will design and operate the infrastructure that enables AI/ML systems to function in real-world mission environments supporting classified, mission-critical programs.You won’t just build platforms: you’ll bridge the gap between AI development and operational deployment, ensuring systems scale, integrate, and perform under real constraints.What You’ll DoArchitect and operate Kubernetes-based platforms supporting AI/ML workloadsBuild and manage containerized environments (Docker, Helm, OCI) for scalable deploymentDesign and optimize data pipelines for ingestion, transformation, and model lifecycle supportIntegrate AI/ML services into secure, mission-critical systemsDevelop Infrastructure as Code (Terraform, Ansible) for repeatable, compliant environmentsBuild and enhance CI/CD pipelines (GitLab, Jenkins, GitHub Actions)Implement observability and monitoring (Prometheus, Grafana) to ensure system health and performanceCollaborate cross-functionally to translate complex requirements into deployable systemsSolve engineering challenges within classified and constrained environmentsWhat You BringStrong experience with Kubernetes and cloud-native platform engineeringHands-on experience with containerization (Docker, Helm)Experience supporting data pipelines or ML-enabled systemsFamiliarity with Infrastructure as Code (Terraform, Ansible)Experience with CI/CD and DevSecOps practicesUnderstanding of distributed systems and system integrationAbility to operate effectively in secure or regulated environmentsClearance Requirements Active TS/SCI clearance strongly preferredCandidates with an active Secret clearance may be considered and supported for upgradeCandidates without an active clearance must be:U.S. citizenseligible to obtain and maintain a clearanceable to work in a CAC-enabled or secure environmentNote: Start timelines and work scope may vary depending on clearance status and program requirementsWhy This Role MattersIn many environments, AI stops at experimentation; in this role, you ensure it becomes operational capability.You WillEnable AI/ML systems to move from development to deploymentSupport mission-critical operations tied to national securityWork at the intersection of cloud-native engineering, DevSecOps, and AI infrastructureBuild systems where failure is not an option and performance is essentialYour work directly impacts how advanced technology is applied in real-world scenarios.What You’ll GainHands-on ownership of platforms powering AI/ML in mission environmentsExposure to complex, high-scale distributed systemsExperience integrating modern cloud-native technologies into secure, real-world systemsGrowth across platform engineering, DevSecOps, and AI infrastructureThe opportunity to solve problems most engineers never encounterAbout RacknerRackner is a software consultancy that builds cloud-native solutions for startups, enterprises, and the public sector. We are an energetic, growing consultancy focused on solving complex problems through distributed systems, DevSecOps, AI/ML, and modern systems architecture.We enable digital transformation by applying cloud-first, cost-effective innovation across mission-critical environments. Our customers span a diverse and growing set of industries, and our teams are driven by a shared focus on end-to-end system delivery and real-world impact.Benefits & PerksRackner invests in your growth, stability, and long-term success:Paid certifications & professional development401(k) with 100% match up to 6%Highly competitive PTOComprehensive Medical, Dental, Vision coverageLife Insurance + Short & Long-Term DisabilityHome office & equipment planIndustry-leading weekly pay schedule#PlatformEngineering #Kubernetes #DevSecOps #AIInfrastructure #MachineLearningOps #CloudNative #DefenseTech #ClearedJobs #NationalSecurity #InfrastructureEngineering #DistributedSystems #Terraform #Docker #DataEngineering #MLOps