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RacknerRA

Senior Full Stack Software Engineer (Kubernetes / Python / React / Go)

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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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

About the job

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Job type

Full Time

Experience level

Senior

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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