Build, prototype, and refine software and platform solutions for defense-relevant use cases. Translate stakeholder feedback into technical requirements and support technical demonstrations and R&D events.
Rackner
10 Remote Job Openings at Rackner
Lead the design and prototyping of mission-relevant software and platform capabilities within an R&D environment. Translate ambiguous operational needs into working software and represent technical work during customer-facing demos and events.
Build and maintain DevSecOps platforms and Kubernetes clusters using Terraform and Helm charts for US Air Force programs. Ensure all platforms and pipelines comply with DoD cybersecurity policies and industry hardening best practices.
Develop and deliver cloud-native containerized applications and CI/CD pipelines within a DevSecOps environment for a DoD customer. Architect data-focused solutions including REST APIs and data persistence logic using AWS services.
MLOps Engineer — AI/ML Systems & Deployment (TS/SCI Preferred)
Rackner
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Full Time
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21 days ago
Rackner
Own the end-to-end ML lifecycle by building production-grade pipelines and deploying models into secure, constrained environments. Ensure system reliability through monitoring, auditability, and the creation of sustainable operational documentation.
Design, develop, and deploy advanced machine learning models and training pipelines to support mission-critical systems. Collaborate with cross-functional teams to integrate scalable AI solutions into production environments.
Senior Technical Account Manager — Kubernetes / DevSecOps (Federal Platform)
Rackner
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Full Time
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2 months ago
Rackner
You will serve as a technical advisor to help customers successfully onboard, adopt, and scale Kubernetes-based DevSecOps platforms. This involves leading customer engagements, delivering workshops, and driving platform usage across DoD environments.
Business Development & Capture Lead (DoD Domain | Remote)
Rackner
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Full Time
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2 months ago
Rackner
Lead the full capture lifecycle from discovery through award, including strategy development and proposal execution. Build and maintain strategic relationships with DoD and Air Force decision-makers to influence acquisition requirements.
Platform Engineer (Cloud-Native AI/ML Systems Integration)
Rackner
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Full Time
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3 months ago
Rackner
The Platform Engineer will architect and operate Kubernetes-based infrastructure specifically designed to support AI/ML workloads in mission-critical environments, focusing on security and reliability. This involves building and managing containerized deployments, optimizing data pipelines, and developing Infrastructure as Code for repeatable system builds.
The role involves designing, developing, and deploying cloud-native applications using modern software engineering practices to support mission-critical systems. Key tasks include building and maintaining scalable software solutions, developing microservices, and contributing to CI/CD pipelines.
