Rackner
Rackner builds cutting-edge solutions that apply DevSecOps and the power of AI in the datacenter, public and private clouds, and edge, leveraging the future of compute capability and technologies like Kubernetes (k8s) and WebAssembly (WASM).
We're a member of the Cloud Native Computing Foundation and a Kubernetes Certified Service Provider - as well as a partner to the major public cloud companies.
Our customers include hypergrowth startups and federal agencies, both Civilian and Defense.
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Senior Cloud Platform Engineer (Multi-Cloud | Top Secret | DevSecOps)
Senior Cloud Platform Engineer (Multi-Cloud | Top Secret | DevSecOps)
Hybrid: Charlottesville, VA / Fort Belvoir, VA (within ~100 miles; periodic on-site presence required)
Clearance: Active Top Secret (SCI Eligible Required)
Why This Role Matters
At Rackner, we don’t just deploy infrastructure: we engineer secure, mission-critical cloud platforms that power national security programs.
This role is part of a competitive, high-visibility effort supporting a leading federal AI and multi-cloud initiative; meaning your impact is immediate and measurable.
As a Senior Cloud Platform Engineer, you will:
- Own and shape secure multi-cloud environments (Azure + AWS)
- Design and enforce Azure Landing Zones and cloud governance at scale
- Build hardened, compliant infrastructure aligned to DoD standards
- Operate as a technical leader across DevSecOps, platform engineering, and cloud architecture
This is not a support role. This is platform ownership in a regulated, high-impact environment.
What You’ll Do
- Own Azure Landing Zone architecture — design, implement, and enforce governance policies across environments
- Engineer secure multi-cloud platforms integrating Azure and AWS (networking, DNS, TLS, identity, access)
- Deploy Infrastructure as Code (Terraform) across production systems using CI/CD and GitOps methodologies
- Containerize and scale systems using Kubernetes (AKS/EKS) for resilient, repeatable deployments
- Harden infrastructure (Azure VMs, cloud services) to meet STIG and DoD compliance requirements
- Drive technical decisions across platform architecture, performance, and scalability
- Collaborate across engineering, DevSecOps, and mission stakeholders to deliver secure, production-ready systems
Must-Have Experience
- 7+ years building cloud-based software systems in secure government environments
- Proven ownership of Azure Landing Zones (design, implementation, policy enforcement)
- Hands-on Terraform experience in production (CI/CD pipelines, automation, GitOps)
- 2+ years Kubernetes experience (AKS, EKS, or similar) in production environments
- Multi-cloud experience (Azure + AWS) including networking (VPC/VNet, DNS, TLS)
- Experience implementing cloud security, STIG compliance, and hardened infrastructure
- Security+ (IAT Level II) and at least one cloud certification (Azure or AWS)
Nice to Have
- Experience with AWS Direct Connect / advanced networking
- Familiarity with Crossplane or platform engineering frameworks
- Updated Azure/AWS certifications
- Experience operating in DevSecOps / mission-critical DoD environments
What You’ll Gain
- Ownership at the platform level — not just execution
- Direct impact on national security and AI-driven federal programs
- Exposure to multi-cloud architecture at scale (Azure + AWS)
- Opportunity to shape cloud governance, security, and infrastructure standards
- Continuous investment in your growth through fully funded certifications and training
- A high-trust environment where technical judgment and decision-making matter
Why Rackner
Rackner is a fast-growing consultancy trusted for innovation, execution, and impact across startups, enterprises, and the public sector. We specialize in cloud-native development, DevSecOps, AI/ML, and distributed systems architecture — delivering solutions that matter.
We invest in our people and provide:
- 401K with 100% match up to 6%
- Comprehensive Medical, Dental, Vision Insurance
- Life Insurance + Short & Long-Term Disability
- Highly Competitive PTO
- Home Office & Equipment Support
- Fully Covered Certifications & Training
- Industry-Leading Weekly Pay Schedule
Apply Now
If you’re a cloud engineer who wants to own systems, not just support them, and operate at the intersection of security, scale, and impact — we want to talk.
#TopSecret #CloudPlatform #AzureLandingZone #MultiCloud #AWS #Azure #Terraform #Kubernetes #DevSecOps #CloudSecurity #ClearedJobs #DoD #PlatformEngineering #CloudArchitecture #HybridJobs #CharlottesvilleJobs #ArlingtonVA #DefenseTech
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Senior Technical Account Manager — Kubernetes / DevSecOps (Federal Platform)
Senior Technical Account Manager — Kubernetes / DevSecOps (Federal Platform)
Location: Remote (U.S.) | Washington, DC Metro Area preferred
Clearance: Active TS/SCI preferred (or eligible to obtain)
Why This Role Matters
You’ll operate as a customer-facing technical advisor supporting a Kubernetes-based DevSecOps platform used in Department of Defense (DoD) environments.
This role is focused on helping teams successfully onboard, adopt, and scale modern platform services in Kubernetes-based environments—not building the platform itself.
What You’ll Do
Lead Customer Engagement
- Guide customer conversations as a technical advisor, helping teams understand platform capabilities and onboarding paths
- Translate Kubernetes, cloud, and DevSecOps concepts into clear, actionable guidance for mixed technical audiences
- Build trust quickly and operate as a reliable partner to customer stakeholders
Drive Platform Adoption
- Act as the primary driver of platform adoption and correct usage across customer teams.
- Assess technical fit and recommend appropriate platform services (e.g., Kubernetes-based environments, CI/CD pipelines, hardened container ecosystems)
- Actively guide customers from initial onboarding through sustained usage and expansion
- Identify and address adoption blockers, improving how teams use the platform in practice
Enable & Educate
- Deliver workshops, demos, and working sessions to accelerate customer understanding and usage
- Gather user feedback and translate insights into improved adoption and experience
Operate with Discipline
- Track customer activity and technical exploration using tools such as Jira, Confluence, and CRM systems
- Maintain clear documentation and follow-through across engagements
What This Role Is — and Is Not
This role is:
- A customer-facing technical leadership role
- Focused on platform adoption, enablement, and outcomes
- A bridge between engineering, product, and mission users
This role is not:
- A backend engineering or build-only position
- A ticket-based support role
- A pure sales or quota-carrying role
- A fit for candidates without prior customer-facing technical experience
What Success Looks Like (First 60 Days)
- Quickly establish credibility and operate independently in customer-facing environments
- Independently guide onboarding and platform fit decisions
- Identify and help resolve early adoption challenges
- Begin influencing how customers use and expand platform services
What You Bring (Capability + Credibility)
We’re looking for candidates who can perform in this role and have demonstrated similar work in practice.
Core Capabilities
- Working with Kubernetes in production environments, including direct involvement in system operations, support, or platform usage
- Experience with DevSecOps practices and CI/CD pipelines in real-world environments
- Ability to independently lead customer-facing technical discussions and guide platform adoption decisions
- Proven ability to operate across engineering, product, and non-technical stakeholders
Credibility Signals
- Experience independently leading customer-facing technical discussions
- Operate in customer-facing technical roles with direct ownership of engagements (e.g., TAM, Solutions Architect, Sales Engineer, Field Engineer)
- Track record of personally driving customer outcomes (e.g., onboarding success, platform adoption, usage growth)
- Guide teams through real-world platform adoption or transformation efforts, including navigating technical and organizational challenges
Preferred Experience
- Background in regulated or security-focused environments (e.g., federal, DoD, financial services, healthcare, or similarly complex domains)
- Familiarity with Kubernetes platforms or distributions (e.g., Rancher, EKS, AKS, OpenShift)
- Hands-on use of cloud platforms (AWS, Azure, or GCP)
- Exposure to DevSecOps practices at scale, including CI/CD pipelines and secure software delivery workflows
Why Rackner
Rackner is a trusted partner delivering cloud-native platforms, DevSecOps solutions, and AI/ML systems across the public sector. Our teams work on mission-critical programs where outcomes matter.
We prioritize:
- Meaningful technical challenges
- Collaborative teams
- Opportunities to grow and take ownership
What This Role Offers You
- Work directly with teams adopting modern DevSecOps platforms in real-world environments
- Build expertise across Kubernetes, cloud, and platform ecosystems
- Operate in a role that influences customer adoption and program success—not just delivery execution
- Collaborate with experienced engineers, architects, and mission partners
- Grow into broader technical leadership or platform strategy roles
Benefits & Perks
- 401(k) with 100% match up to 6%
- Comprehensive medical, dental, and vision coverage
- Life insurance + short- and long-term disability
- Generous paid time off
- Home office and equipment support
- Covered certifications and training
- Competitive compensation and weekly pay schedule
Equal Opportunity
Rackner is an equal opportunity employer. We are committed to creating an inclusive environment for all employees.
Ready to apply?
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Rackner AI Innovation Fellowship (Startup Accelerator Internship)
Title: Rackner AI Innovation Fellowship (Startup Accelerator Internship)
Location: College Park (Hybrid – ~50% Minimum In-Person)
Who We Are
Rackner is a cloud-native software consultancy delivering innovative solutions for startups, enterprises, and the public sector. We are a fast-growing, mission-driven organization focused on solving complex challenges through cutting-edge technologies.
Our expertise spans end-to-end application development, DevSecOps, AI/ML, and systems architecture, with a strong emphasis on cloud-first and cost-effective innovation. We partner with organizations ranging from early-stage startups to large federal agencies, enabling digital transformation and delivering high-impact, scalable solutions.
Position Overview
The Rackner AI Innovation Fellowship is a hands-on research and development program designed to explore and build next-generation solutions using artificial intelligence, cloud computing, and emerging technologies.
This fellowship offers a unique opportunity for students and early-career technologists to work in a startup-like environment while gaining real-world experience developing impactful solutions aligned with Rackner’s mission.
The program runs year-round, with:
- Part-time participation during the academic year
- Full-time engagement during the summer
Fellows will work in collaborative teams (ideally groups of 2–3 participants) to take ideas from concept to prototype, focusing on real-world applications, scalability, and measurable impact. Teams that already have strong working relationships are encouraged to apply together.
Each team will receive funding for cloud infrastructure and AI tools to support development. At the conclusion of the program, teams will present their solutions, findings, and working prototypes to Rackner leadership.
Key Responsibilities
- Collaborate in small teams to design, develop, and prototype innovative AI/ML and cloud-based solutions
- Conduct research on emerging technologies, including LLMs, cloud platforms, and cybersecurity frameworks
- Build and deploy applications using modern cloud platforms (AWS, Azure, or GCP)
- Develop proof-of-concept solutions with measurable impact
- Apply software engineering best practices (version control, testing, documentation)
- Analyze technical feasibility and potential business value of solutions
- Present findings, demos, and final prototypes to leadership
- Manage project timelines and contribute to team-based innovation
Focus Areas
- Large Language Models (LLMs) and AI-enabled applications
- Cloud-native development and distributed systems
- Cybersecurity and secure system design
- B2B platforms and enterprise solutions
- Government and public sector technology
Qualifications (Required)
- Must reside in a HUBZone
(Verify eligibility: https://maps.certify.sba.gov/hubzone/map) - Ability to participate in a hybrid model (~50% in-person in College Park)
- Currently enrolled student or recent graduate in a relevant field
Preferred Qualifications
- Background in Computer Science, Software Engineering, Data Science, or Business
- Strong preference for candidates with software development experience
- Experience with programming languages such as Python, JavaScript, or Java
- Familiarity with AI/ML tools (TensorFlow, PyTorch, HuggingFace)
- Knowledge of cloud platforms (AWS, Azure, GCP)
- Understanding of APIs, microservices, or distributed systems
Candidate Profile (What We’re Looking For)
- HUBZone candidates strongly encouraged to apply
(Goal: Build a cohort of at least 9 HUBZone participants, including current interns) - Team-oriented applicants
- Preference for candidates applying in teams of 2–3
- Teams with prior working relationships or strong collaboration experience are highly encouraged
- Balanced technical + business mindset
- Ideal team composition: 2 technical (software-focused) + 1 business-oriented member
- Candidates with business, product, or entrepreneurial experience are a plus
- High energy and motivation
- Demonstrated strong work ethic
- Passion for innovation, problem-solving, and building new solutions
- Ability to thrive in fast-paced, ambiguous, startup-like environments
Startup Accelerator Opportunity
Participants will have the opportunity to convert their project into a startup by buying back their intellectual property (IP) in exchange for equity, creating a direct pathway from fellowship to entrepreneurship.
Additional Benefits
- Industry-leading weekly pay schedule
- Hybrid work environment with strong in-person collaboration
- Access to cutting-edge AI tools and cloud resources
- Professional development and certification support
- Opportunity to build real-world portfolio projects
- Exposure to startup and enterprise innovation
- Home office support
Why Join Rackner?
This fellowship is more than an internship, it’s an opportunity to innovate, build, and potentially launch your own venture while working on impactful technologies that support both commercial and federal missions.
Ready to apply?
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Senior Software Engineer — R&D Platforms
Location: United States (Remote)
Travel: Periodic engineering collaboration sessions
Role Overview
Rackner is seeking a Senior Software Engineer to help design, prototype, and build modern platform capabilities within a focused engineering initiative.
In this role, you will work directly with experienced technical leaders to translate ideas into working software; developing full-stack applications, backend services, and distributed systems using modern cloud-native technologies.
The environment emphasizes ownership, experimentation, and practical engineering outcomes. Engineers are trusted to move quickly from concept to implementation while contributing to architecture and system design decisions.
This role is well suited for engineers who enjoy solving difficult technical problems, building scalable systems, and working in environments where engineers are expected to take initiative and deliver meaningful technical outcomes.
What You'll Do
- Design and develop modern full-stack applications and distributed systems
- Build backend services using Python (including frameworks such as FastAPI) and Go
- Develop frontend interfaces using React and modern JavaScript frameworks
- Deploy and operate applications in containerized and Kubernetes-based environments
- Rapidly prototype and validate new platform capabilities
- Contribute to architecture and system design discussions
- Build scalable APIs and services supporting evolving platform needs
- Use modern engineering tooling, including AI-assisted development tools, to accelerate development
- Collaborate with engineers and technical leadership to move concepts into production-quality systems
What You Bring
- Strong candidates typically bring experience across several of the following areas:
- Professional experience building full-stack software systems
- Backend development using Python, including frameworks such as FastAPI
- Backend systems development using Go
- Frontend development using React and modern JavaScript
- Experience deploying applications using Docker and Kubernetes
- Familiarity with microservices, APIs, and distributed systems
- Ability to work independently, solve complex problems, and deliver working software quickly
- Comfort operating in environments where engineers take ownership of technical outcomes
- Experience using modern development tooling and engineering workflows
Travel
This role includes periodic travel for engineering collaboration sessions, including several extended working sessions during the year. Travel schedules are planned in advance and designed to support focused development and team collaboration.
Clearance
Candidates must be eligible to obtain a U.S. government security clearance.
U.S. citizenship is required for clearance eligibility.
About Rackner
Rackner is a software consultancy focused on building mission-critical systems for the U.S. government. Our engineers work across AI/ML, DevSecOps, cloud platforms, and distributed systems, supporting federal agencies and national security initiatives.
Engineering teams collaborate closely with technical leadership and program stakeholders to design and build scalable platforms addressing complex operational challenges. Engineers are encouraged to take ownership of their work, contribute ideas, and help shape the systems they build.
Benefits & Perks
- Competitive compensation + performance opportunity
- Medical, dental, vision coverage
- 401(k) with company contribution/match
- Paid time off + federal holidays (as applicable)
- Remote/hybrid flexibility (as role allows)
- Training/certification support (BI, analytics, healthcare data standards)
Equal Opportunity
Rackner is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other protected characteristics.
#SoftwareEngineering #FullStackEngineering #Kubernetes #Python #FastAPI #GoLang #ReactJS #DistributedSystems #CloudNative #DevSecOps #GovTech #HiringEngineers
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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
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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
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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
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Job Title: Software Engineer (TS/SCI Required)
Location: Dayton, OH (Remote but willing to travel)
Clearance: Active TS/SCI required
Employment Type: Full-Time
About the Role
Rackner is seeking a highly skilled Software Engineer to support mission-critical systems in a secure environment. This role involves designing, developing, and deploying cloud-native applications using modern software engineering practices. You will work closely with cross-functional teams to build scalable, resilient, and secure solutions that directly support national defense and intelligence missions.
Key Responsibilities
- Design, develop, and maintain scalable software solutions using modern programming languages
- Build and deploy cloud-native, containerized applications using Docker and Kubernetes
- Develop and maintain microservices-based architectures and RESTful APIs
- Implement event-driven architectures using tools such as Kafka
- Contribute to CI/CD pipelines and DevSecOps practices to enable rapid, secure delivery
- Write clean, maintainable, and well-documented code following best practices
- Collaborate with cross-functional teams in an Agile development environment
- Support observability, monitoring, and system performance optimization
Required Qualifications
- Active TS/SCI clearance
- Strong proficiency in one or more modern programming languages:
- Python, Java, C++, JavaScript, or TypeScript
- Experience with front-end frameworks such as:
- Angular, React, or Vue.js
- Experience with backend frameworks such as:
- Flask, Django, or Spring Boot
- Hands-on experience with:
- Docker and Kubernetes
- Helm for Kubernetes deployments
- Experience with cloud platforms such as AWS, Azure, or Google Cloud
- Strong understanding of:
- Microservices architecture
- RESTful APIs and OpenAPI specifications
- Event-driven systems (e.g., Kafka)
DevSecOps & Engineering Practices
- Experience building and maintaining CI/CD pipelines using tools such as GitLab or Jenkins
- Familiarity with GitOps workflows
- Experience with Infrastructure as Code (IaC):
- Terraform and/or Ansible
- Experience working in Agile environments
- Knowledge of observability and monitoring tools
Preferred Qualifications
- Experience supporting DoD or federal programs
- Familiarity with secure software development practices
- Experience working in highly regulated or classified environments
Benefits & Perks
- Weekly pay
- Professional growth investment, including paid certifications and training
- Comprehensive benefits package, including:
- Medical, dental, and vision coverage
- 401(k) with 100% company match up to 6%
- Paid time off (PTO)
- Life and disability insurance
- Home office equipment plan
- A supportive, inclusive team culture focused on collaboration, trust, and mission impact
About Rackner
Rackner is a cloud-native software consultancy delivering solutions for startups, enterprises, and the public sector.
We enable digital transformation through DevSecOps, AI/ML, and cloud-first innovation.
Our teams solve high-impact problems that advance federal missions and strengthen national readiness.
Join us to help shape the future of secure, scalable data systems supporting mission success.
Ready to apply?
Apply to Rackner
Title: Computer Science Intern
Location: College Park, Maryland (across the street from campus)
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. We 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. We work with small startups, hyper-growth companies, and some of the largest enterprises.
Position Overview:
As a Computer Scientist Intern at Rackner, you will have the chance to work closely with our team of experienced computer scientists and engineers on challenging and impactful projects. You will be involved in research, development, and problem-solving, helping to shape the future of technology. This internship is designed to provide you with valuable real-world experience in a supportive and innovative environment. The primary objectives will be around automation of business processes and conducting research and development for DevSecOps tools. We intend to hire many interns with similar responsibilities.
Key Responsibilities:
- Collaborate with the R&D team to design, develop, and implement software solutions and algorithms.
- Conduct research on emerging technologies and industry trends to support project development.
- Assist in troubleshooting and debugging software issues.
- Participate in coding, testing, and documentation of software components.
- Analyze and interpret data to generate insights and support decision-making.
- Work on cross-functional projects and contribute to team discussions.
- Learn and apply computer science principles to solve complex problems.
- 10 hours/week during the school year, 40 hours/week in the summer, >51% of the time will be in office
Qualifications:
- Currently pursuing a Bachelor's or Master's degree in Computer Science or a related field.
- Strong programming skills in languages such as Python, Java, C++, or similar.
- Familiarity with data structures, algorithms, and software development methodologies.
- Excellent problem-solving and critical-thinking abilities.
- Strong communication and teamwork skills.
- Eagerness to learn and adapt in a fast-paced and evolving tech environment.
- Passion for technology and a desire to contribute to innovative projects.
- Must be able to prove HUBZone occupancy in the current year* within the first week of employment using one of the following methods
- Lease covering March 26-September 23
- Drivers License acquired before March 26
- Voter Registration Card acquired before March 26
*Students at the University of Maryland likely reside in a HUBZone, if you aren't sure, the map can be found here https://maps.certify.sba.gov/hubzone/map
Additional Info/Benefits
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 and Vision
- Life insurance, and short + long term disability
- Industry-Leading Weekly Pay Schedule
- Home office & equipment plan
Ready to apply?
Apply to Rackner