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

Rackner; Dayton (OH); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

401(k) with 100% match up to 6%

Highly competitive PTO

Life Insurance + Short & Long-Term Disability

Home office & equipment plan

Industry-leading weekly pay schedule

Job summary

A leading software consultancy in Dayton, OH, is seeking a skilled Platform Engineer to design and operate systems enabling AI/ML integration. This role focuses on building and managing secure, scalable infrastructures critical for national security applications. Ideal candidates will have deep expertise in Kubernetes, cloud-native engineering, and containerization technologies. The position offers opportunities to work at the forefront of AI technology in mission-critical environments.

Qualifications

• Strong experience with Kubernetes and cloud-native platform engineering.
• Hands-on experience with containerization, particularly Docker and Helm.
• Familiarity with Infrastructure as Code methodologies.

Responsibilities

• Architect and operate Kubernetes-based platforms for AI/ML workloads.
• Build and manage containerized environments for scalable deployments.
• Design and optimize data pipelines for model support.

Skills

Kubernetes

Containerization (Docker, Helm)

Data pipelines

Infrastructure as Code (Terraform, Ansible)

CI/CD and DevSecOps

Distributed systems

Job description

Dayton, OH

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

Location: Dayton, OH (preferred) | Remote Eligible (CAC Access Required)

Clearance: TS/SCI Preferred

Build the Infrastructure That Makes AI Mission-Ready

This is not a typical engineering role. As a Platform Engineer, you will design and operate the infrastructure that enables AI/ML systems to function in real-world mission environments. Your work will directly support Air Force / NASIC-aligned programs, where performance, security, and reliability are non-negotiable.

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 Do

• Architect and operate Kubernetes-based platforms supporting AI/ML workloads
• Build and manage containerized environments (Docker, Helm, OCI) for scalable deployment
• Design and optimize data pipelines for ingestion, transformation, and model lifecycle support
• Integrate AI/ML services into secure, mission-critical systems
• Develop Infrastructure as Code (Terraform, Ansible) for repeatable, compliant environments
• Build and enhance CI/CD pipelines (GitLab, Jenkins, GitHub Actions)
• Implement observability and monitoring (Prometheus, Grafana) to ensure system health and performance
• Collaborate cross‑functionally to translate complex requirements into deployable systems
• Solve engineering challenges within classified and constrained environments

What You Bring

• Strong experience with Kubernetes and cloud‑native platform engineering
• Hands‑on experience with containerization (Docker, Helm)
• Experience supporting data pipelines or ML‑enabled systems
• Familiarity with Infrastructure as Code (Terraform, Ansible)
• Experience with CI/CD and DevSecOps practices
• Understanding of distributed systems and system integration
• Ability to operate effectively in secure or regulated environments

Why This Role Matters

In many environments, AI stops at experimentation; in this role, you ensure it becomes operational capability.

You will:

• Enable AI/ML systems to move from development to deployment
• Support mission‑critical operations tied to national security
• Work at the intersection of cloud‑native engineering, DevSecOps, and AI infrastructure
• Build systems where failure is not an option and performance is essential

Your work directly impacts how advanced technology is applied in real‑world scenarios.

What You’ll Gain

• Hands‑on ownership of platforms powering AI/ML in mission environments
• Experience integrating modern cloud‑native technologies into secure, real‑world systems
• Growth across platform engineering, DevSecOps, and AI infrastructure
• The opportunity to solve problems most engineers never encounter

About Rackner

Rackner 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.

Rackner invests in your growth, stability, and long‑term success:

• 401(k) with 100% match up to 6%
• Highly competitive PTO
• Life Insurance + Short & Long‑Term Disability
• Home office & equipment plan
• Industry‑leading weekly pay schedule

#PlatformEngineering #Kubernetes #DevSecOps #AIInfrastructure #MachineLearningOps #CloudNative #DefenseTech #ClearedJobs #NationalSecurity #InfrastructureEngineering #DistributedSystems #Terraform #Docker #DataEngineering #MLOps

As set forth in Rackner’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.

We are a federal contractor or subcontractor. The law requires us to provide equal employment opportunity to qualified people with disabilities. We have a goal of having at least 7% of our workers as people with disabilities. The law says we must measure our progress toward this goal. To do this, we must ask applicants and employees if they have a disability or have ever had one. People can become disabled, so we need to ask this question at least every five years.

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• Blind or low vision
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