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
As 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 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

Clearance Requirements

• Active TS/SCI clearance strongly preferred
• Candidates with an active Secret clearance may be considered and supported for upgrade
• Candidates without an active clearance must be:
  
  • U.S. citizens
  • eligible to obtain and maintain a clearance
  • able to work in a CAC-enabled or secure environment

Note: Start timelines and work scope may vary depending on clearance status and program requirements

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
• Exposure to complex, high-scale distributed systems
• 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.

Benefits & Perks

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

• Paid certifications & professional development
• 401(k) with 100% match up to 6%
• Highly competitive PTO
• Comprehensive Medical, Dental, Vision coverage
• 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

MLOps Engineer — AI/ML Systems & Deployment (TS/SCI Preferred)
Dayton, OH (On-site Preferred) | Remote Eligible (U.S.-based, Clearance-Ready)
Clearance-Eligible Role | Mission-Critical AI/ML Systems

About the Role

At Rackner, we build systems where advanced technologies move beyond prototypes and into real-world operational use.

We are seeking an MLOps Engineer to support the deployment and lifecycle management of AI/ML systems within a secure, mission-focused environment.

This is not a research role.

This is where models become reliable, deployable, and auditable systems.

You will operate at the intersection of:

• machine learning
• cloud-native infrastructure
• distributed systems

…and ensure AI/ML systems are production-ready in environments where reliability and performance matter.

What You’ll Do

Own the ML Lifecycle (End-to-End)

• Build and operate production-grade ML pipelines
• Orchestrate workflows using Kubeflow, Airflow, or Argo
• Implement model versioning, lineage, and reproducibility standards

Operationalize AI/ML Systems

• Deploy models into secure and constrained environments
  Transition workflows from experimentation → containerized pipelines → production systems
  Enable both batch and real-time inference architectures

Engineer for Reliability

• Design systems for reproducibility, auditability, and stability
• Monitor model performance and system health using Prometheus, Grafana, OpenTelemetry
• Detect and resolve issues such as model drift and system degradation

Build Cloud-Native ML Infrastructure

• Deploy and manage Kubernetes-based ML workloads
• Containerize pipelines using Docker
• Support scalable training and inference workflows

Establish Data Discipline

• Support feature engineering and dataset preparation
• Implement data versioning and governance practices (e.g., lakeFS)
• Apply metadata and data management standards

Create Repeatable Systems

• Develop runbooks, playbooks, and documentation
• Build systems that are operationally sustainable and transferable

What You Bring

Core Experience

• Experience deploying ML systems into production environments
• Strong programming skills in Python
• Hands-on experience with:
  
  • ML pipeline tools (Kubeflow, Airflow, Argo)
  • Experiment tracking tools (MLflow, ClearML)

Infrastructure & Systems

• Experience with Kubernetes and containerized systems (Docker)
• Familiarity with CI/CD pipelines
• Understanding of distributed systems and scalable architectures

ML Application Exposure

• Experience working with:
  
  • LLMs or transformer-based models
  • Computer vision systems (YOLO, Faster R-CNN)
• Focus on deployment and integration, not pure research

Mindset

• Systems thinker who prioritizes reliability over novelty
• Comfortable operating in complex, evolving environments
• Focused on delivering real-world outcomes

Clearance Requirements

• Active TS/SCI clearance strongly preferred
• Candidates with an active Secret clearance may be considered and supported for upgrade
• Candidates without an active clearance must be:
  
  • U.S. citizens
  • eligible to obtain and maintain a clearance
  • able to work in a CAC-enabled or secure environment

Note: Start timelines and work scope may vary depending on clearance status and program requirements

Why This Role Matters (What You Get)

This role is a career accelerator for engineers who want to:

• Move beyond experimentation and own production systems
• Work across ML, infrastructure, and deployment pipelines
• Build in high-trust, secure environments
• Develop high-demand MLOps expertise in constrained systems
• Deliver systems that are used, not just built

Who We Are

Rackner is a software consultancy that builds cloud-native solutions for startups, enterprises, and the public sector. We are an energetic, growing team focused on solving complex problems through:

• Distributed systems
• DevSecOps
• AI/ML
• Cloud-native architecture

Our approach is cloud-first, cost-effective, and outcome-driven, delivering systems that scale and perform in real-world environments.

Benefits & Perks

• 100% covered certifications & training aligned to your role
• 401(k) with 100% match up to 6%
• Highly competitive PTO
• Comprehensive Medical, Dental, Vision coverage
• Life Insurance + Short & Long-Term Disability
• Home office & equipment plan
• Industry-leading weekly pay schedule

Apply

If you’re an engineer who wants to move from building models → owning production systems, we’d like to connect.

#MLOps #MachineLearning #Kubernetes #AIEngineering #CloudNative #DevSecOps #ArtificialIntelligence #DataEngineering #DefenseTech #NationalSecurity #AIInfrastructure #Hiring #TechCareers

Title: DevSecOps (Kubernetes) Engineer SME
Clearance: US Citizen (Secret Eligible)
Location: Remote 

About this role:

• Rackner is seeking an DevSecOps (Kubernetes) Engineer SME to support a US Air Force program called Platform One, to work on a product called Big Bang. 
• Big Bang provides the tooling for mission application owners to create a Platform as a Service in their own Kubernetes cluster running in a cloud or datacenter.
• This PaaS environment is built with Terraform and Helm charts, and comes with cybersecurity and other governance policies out of the box, as well as collaboration tools and plugins.
• We're looking for a DevSecOps Engineer who has deep experience in Kubernetes, Terraform and CI/CD Pipelines to join our team. This role is remote.

We are seeking professionals with:

• 3+ years; Kubernetes exp. in production environments
• Kubernetes distro (RKE2, EKS, OpenShift, VMWare Tanzu, etc)
• 3+ years; Terraform exp.
• Docker or other container technologies exp.
• Helm exp.
• Defense customers background (highly preferable)

What will make you successful:

• Build DevSecOps platforms which are used by a variety of mission application owners
• Create and update Kubernetes clusters using Terraform
• Deploy applications to Kubernetes clusters by writing and modifying Helm charts
• Become comfortable getting exposed to and learning different Kubernetes distributions (RKE2, OpenShift, Tanzu, etc)
• Self teach and work with custom operators and CRDs in Kubernetes as needed
• Use automation best practices, such as IaC and GitOps, for repeatability and fast provisioning of environments
• Ensure platform and pipelines are compliant with DoD cybersecurity policies (NIST 800-53/RMF, STIGs)
• Work with the Cybersecurity team by implementing industry best practices for system hardening and configuration management

Who We Are:

• Rackner is a software consultancy that builds cloud-native solutions for startups, enterprises, and the public sector.
• We are an energetic, growing consultancy with a passion for solving big problems for both startups and enterprises.
• Each of us enable digital transformation for large organizations through the newest in distributed technologies as we are laser focused on end-to-end application development, DevSecOps, AI/ML and systems architecture and our methodology focuses on cloud-first and cost-effective innovation.
• Our customers hail from a diverse, ever-growing list of industries.

Benefits/Additional Info:

Rackner embraces and promotes employee development and training and covers the cost of certifications relevant to a position and the technologies/services provided. Fitness/Gym membership eligibility, weekly pay schedule and employee swag, snacks & events are offered as well!

• 401K with 100% matching up to 6%
• Highly competitive PTO
• Great health insurance with large network of providers
• Medical/Dental/Vision
• Life Insurance, and short & long term disability
• Industry-Leading Weekly Pay Schedule
• Home office & equipment plan

#DevSecOps #AirForce #clearance #secret #PaaS #Kubernetes #cloud #datacenter #Terraform #Helm #cybersecurity #Terraform #CI #CD #Docker #RKE2 #OpenShift #Tanzu #IaC #GitOps #NIST #RMF #STIGs #systemhardening #configurationmanagement #platformone #dod #ops #defense 

Senior Program Manager – Federal Programs (Secret Clearance)

Professional Services Support
Location: Dayton, OH (Onsite)
Clearance: Active Secret Required

About the Role

Rackner is seeking an experienced Overall Project Manager to lead a high-visibility professional services program supporting a major Department of the Air Force innovation organization.

This role serves as the senior program leader responsible for contract execution, operational coordination, and delivery oversight across a complex portfolio of support functions including program management, strategic communications, event support, IT services, and facilities coordination.

The Overall Project Manager will serve as the primary interface between contractor leadership and Government program stakeholders, ensuring delivery excellence across a distributed workforce supporting mission-critical innovation initiatives.

This is a designated key personnel position responsible for ensuring operational alignment, execution discipline, and program performance across multiple locations and support teams.

This role offers the opportunity to support one of the Air Force’s most visible innovation ecosystems, enabling emerging technologies and mission capabilities that directly impact national security.

What You'll Do

• Serve as the overall program lead responsible for delivery, coordination, and execution across the full scope of the contract.
• Act as the primary liaison between contractor leadership and Government program stakeholders, including the Contracting Officer’s Representative (COR).
• Oversee multi-disciplinary contractor teams delivering services across program management, communications, events, IT, and facilities support functions.
• Manage program execution across multiple geographic locations, ensuring continuity of operations and staffing alignment.
• Lead program governance and operational cadence, including status reporting, deliverable management, and performance tracking.
• Manage subcontractor relationships, task assignments, and labor category coordination.
• Identify program risks and develop mitigation strategies to ensure schedule, quality, and delivery objectives are met.
• Ensure compliance with security, CUI, and operational security requirements across the program.
• Provide leadership that enables predictable delivery, operational discipline, and mission success.

What You Bring

• Bachelor’s degree in Project Management, Business Administration, or related field.
• 10+ years of progressive experience managing complex programs or projects.
• 5+ years leading large federal programs or contracts with significant operational scope.
• Demonstrated experience managing contracts exceeding $10M in value.
• Experience managing cross-functional teams, subcontractors, and multiple labor categories.
• Proven ability to manage program risks, schedule, and performance across complex delivery environments.
• Experience implementing change management and program governance processes.
  

Preferred Qualifications

• Project Management Professional (PMP) certification.
• Experience supporting Air Force or Department of Defense programs.
• Familiarity with federal innovation or research ecosystems.
• Experience working within IDIQ or task order contract structures.
• Knowledge of CUI handling, OPSEC, and DD Form 254 requirements.
• Experience managing distributed teams across multiple locations.
  

Why This Role Matters

This position supports a high-visibility federal innovation ecosystem responsible for accelerating emerging technologies into operational capabilities.

Your leadership will directly influence the delivery, coordination, and execution of mission-critical initiatives that strengthen national defense and technological advancement.

This role offers the opportunity to operate at the intersection of innovation, mission delivery, and large-scale program leadership.

Why You'll Love Working Here

• Competitive compensation
• Weekly pay
• 401(k) with 100% match up to 6%
• Medical, Dental, and Vision coverage
• Life and Disability Insurance
• Generous PTO
• Paid training and certification support
• Opportunities to work on high-impact federal missions
• Collaborative and supportive team environment

Apply Today

If you are a proven program leader with experience delivering complex federal programs and want to support mission-driven innovation efforts, we encourage you to apply.

#ProgramManager #FederalContracting #GovCon #SecretClearance #DefenseInnovation #MissionDriven #DaytonOH #NowHiring