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RacknerRA

Kubernetes Engineer (DoD Secret | Weekday Shift | Remote – U.S.)

Rackner, Inc. is a cloud-native consultancy specializing in DevSecOps, AI, and cloud architecture to help enterprises and startups with digital transformation. They offer services in application development, modernization, and building solutions for datacenter, cloud, and edge environments.

Rackner

Employee count: 11-50

United States only

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This Kubernetes Engineer position focuses on maintaining uninterrupted global communication and mission readiness for U.S. Air Force Platform One and Air Mobility Command. The role involves operating in a high-trust environment, automating cloud infrastructure, and collaborating with DevSecOps, Security, and Cloud Architecture teams. The successful candidate will contribute to the scalability and performance of critical chat systems.

Requirements

  • Deep knowledge of Kubernetes, Istio, Helm, and GitOps
  • Experience with custom CRDs, controllers, and operators
  • Strong Linux and networking foundation
  • Hands-on experience with Terraform, Ansible, GitLab CI/CD
  • Familiarity with AWS / Azure / GCP
  • CKA certification preferred

Benefits

  • 401(k) with 100% match up to 6%
  • Medical, Dental, Vision coverage
  • Home office & equipment stipend
  • Weekly pay schedule
  • Generous PTO & paid holidays
  • Certification reimbursement
  • Life & Disability Insurance

About the job

Apply before

Posted on

Job type

Full Time

Experience level

Mid-level

Location requirements

Hiring timezones

United States +/- 0 hours

About Rackner

Learn more about Rackner and their company culture.

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Rackner's customers, ranging from dynamic startups to large federal agencies, often grapple with the complexities of digital transformation and the need to modernize their technological infrastructure. They face challenges in accelerating application delivery, ensuring scalability, and maintaining robust security in an ever-evolving threat landscape. Many are looking to harness the power of Artificial Intelligence (AI) and Machine Learning (ML) to gain a competitive edge or enhance mission-critical capabilities, but may lack the in-house expertise to develop or modernize their applications effectively. Furthermore, the demand for innovative systems leveraging emerging technologies like Edge computing, IoT, Mobile, and VR requires specialized knowledge that can be difficult to acquire and maintain.

This is why Rackner focuses on building cutting-edge solutions that apply DevSecOps and the power of AI across various environments, including datacenters, public/private clouds, and the edge. We empower our clients by providing end-to-end application development, robust DevSecOps practices, and expert systems architecture, all within a methodology centered on cloud-first, cost-effective innovation. For organizations struggling with legacy systems, we offer application modernization services, transforming slow-loading applications into blazing-fast, cloud-native solutions. Our expertise in Kubernetes, as a Kubernetes Certified Service Provider, allows us to help clients manage large clusters in production effectively. We guide businesses in developing and implementing AI/ML strategies, from building data-forward solutions with existing and new models to establishing AutoML and MLOps infrastructure for continuous improvement. By focusing on the business impact of AI, we ensure that the solutions we build increase efficiency and efficacy. Rackner also assists clients in developing modern, well-documented APIs and implementing API management for optimal consumption, alongside robust logging and monitoring to enhance user experience. Our commitment extends to enterprise platform security, ensuring applications are audited and continuously monitored for breaches. Ultimately, Rackner enables organizations to move their missions forward with cloud-native solutions, accelerating delivery, enhancing security, and building the next generation of innovative systems.

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Rackner

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Rackner hiring Kubernetes Engineer (DoD Secret | Weekday Shift | Remote – U.S.) • Remote (Work from Home) | Himalayas