Full-Time

Software/AI Developer

R&D

Updated on 9/4/2026

Rackner

Rackner

11-50 employees

DevSecOps and AI for cloud-native edge

No salary listed

No H1B Sponsorship

Remote in USA

Remote

Remote within the United States, with approximately 15% travel for R&D events, demos, testing, and collaboration sessions.

US Citizenship, US Top Secret Clearance Required

Category
Software Engineering (1)
Required Skills
LLM
Kubernetes
MLOps
Microsoft Azure
Python
NoSQL
TensorFlow
Git
PyTorch
SQL
Machine Learning
Data Engineering
Docker
RAG
Version Control
Microservices
AWS
Terraform
Observability
REST APIs
LangChain
DevOps
Data Analysis
Helm

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Requirements
  • U.S. citizenship due to federal contract requirements.
  • Ability to obtain and maintain a U.S. government security clearance.
  • Strong hands-on software development experience, particularly with Python.
  • Experience developing backend applications, services, APIs, or data-driven software.
  • Experience building, integrating, or supporting AI/ML or generative AI applications.
  • Understanding of software engineering fundamentals, including application design, testing, debugging, version control, and code review.
  • Experience with APIs, JSON, databases, and structured or semi-structured data.
  • Ability to take a technical problem from concept through implementation and demonstration.
  • Experience working in fast-moving environments where requirements may not be fully defined at the beginning.
  • Ability to independently investigate technical problems, evaluate options, and build practical solutions.
  • Willingness to travel approximately 15% for R&D events, demos, testing, and collaboration sessions.
Responsibilities
  • Design, develop, test, and maintain software for mission-focused R&D projects.
  • Build backend services, APIs, integrations, and data-processing workflows.
  • Develop AI-enabled applications using LLMs, machine learning models, and other modern AI technologies.
  • Build and evaluate AI agents, retrieval workflows, automation tools, and other AI-assisted capabilities.
  • Integrate AI models and services into usable software applications rather than treating AI as a standalone experiment.
  • Develop prototypes and proofs of concept that can be demonstrated to government customers and mission users.
  • Work with structured and unstructured data, including data ingestion, transformation, validation, and retrieval.
  • Write clean, maintainable, testable code and participate in code reviews and technical design discussions.
  • Debug software, integration, data, and model-related issues across development and testing environments.
  • Collaborate with DevSecOps engineers to containerize, deploy, monitor, and improve applications in cloud and secure environments.
  • Evaluate new AI models, frameworks, libraries, and development approaches for potential use in R&D projects.
  • Participate in technical demos, field events, experiments, and customer feedback sessions.
  • Turn feedback from technical teams and mission users into software improvements and new capabilities.
  • Document technical decisions, APIs, system behavior, and development approaches so solutions can be maintained and extended.
Desired Qualifications
  • Active Secret clearance or higher.
  • Experience supporting DoD, Air Force, Space Force, mission command, battle management, C2, ISR, mission planning, autonomy, or other national security programs.
  • Experience developing applications using LLMs, generative AI, agentic AI, retrieval-augmented generation (RAG), embeddings, vector databases, or model APIs.
  • Experience evaluating model outputs, accuracy, reliability, latency, and other AI performance considerations.
  • Experience with AI/ML frameworks or libraries such as PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, or similar technologies.
  • Experience with REST APIs, microservices, event-driven systems, or backend frameworks.
  • Experience with SQL, NoSQL databases, data pipelines, or data-processing frameworks.
  • Familiarity with AWS, Azure, or other cloud platforms.
  • Experience with Docker, Kubernetes, CI/CD, Git, Terraform, Helm, or similar development and deployment technologies.
  • Familiarity with MLOps, model deployment, observability, evaluation, or production AI workflows.
  • Experience developing software for disconnected, classified, edge, or other constrained environments.
  • Experience building prototypes, proofs of concept, technical demos, or experimental software.
  • Experience working in R&D, defense technology, applied AI, or startup-like engineering environments.

Rackner provides services that blend DevSecOps with artificial intelligence to help organizations run workloads in the datacenter, public and private clouds, and at the edge. Its offerings center on automating secure software delivery (devsecops), building cloud-native and hybrid-cloud applications, and extending compute to edge environments using technologies like Kubernetes and WebAssembly. The company supports both fast-growing startups and federal agencies, including Civilian and Defense sectors, and differentiates itself through its deep focus on security, cloud-native architecture, edge computing, and AI/ML capabilities, along with its status as a Cloud Native Computing Foundation member, Kubernetes Certified Service Provider, and partner to major cloud providers. Rackner’s goal is to help customers deliver scalable, secure, and efficient software and AI-powered applications across on-premises, cloud, and edge environments.

Company Size

11-50

Company Stage

N/A

Total Funding

N/A

Headquarters

Washington DC, District of Columbia

Founded

2015

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Simplify Jobs

Simplify's Take

What believers are saying

  • Rackner reported 239% three-year revenue growth and Inc. 5000 placement in 2026.
  • 2026 contract wins on Party Bus and SEWP VI expand federal distribution.
  • Current hiring across AI, DevSecOps, and federal BD shows active demand.

What critics are saying

  • Rackner depends heavily on DoD and NASA procurement cycles for revenue.
  • Contingent job postings signal contract-based hiring and possible stop-start staffing.
  • Large integrators can bundle similar cloud-native services, compressing Rackner margins by 2027.

What makes Rackner unique

  • Rackner won NASA SEWP VI and Platform One awards in 2026.
  • It sells cleared DevSecOps, AI/ML, and cloud-native delivery for federal missions.
  • REAPER and Code Falcon package mission software into reusable government-ready products.

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Benefits

401(k) Company Match

Unlimited Paid Time Off

Health Insurance

Medical Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

Home Office Stipend

Gym Membership