Cloud Software Engineer (Full-Stack and AI) - Junior Level

Redhorse Corporation
Gainesville, VA
On-siteCareer-pivot friendly

Who this role is best for

Junior-level candidates with foundational cloud and AI/ML skills will find this role in a mission-critical technology environment.

Best fit for

  • Junior candidates with hands-on experience in cloud platforms and a passion for data visualization and analytics
    — “Develop, test, and maintain responsive Web User Interfaces (UIs), front-end components, and dashboards that enable intuitive data visualization, analytics, and operational workflows.”
  • Individuals with a background in cyber and security who are eager to integrate AI/ML into workflows
    — “Collaborate with technical teams to assess application security, inspect software/mobile components, and support the development of custom utilities for data recovery and extraction.”
  • Candidates with a strong educational base in computer science and early-stage software development experience
    — “Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, or a related technical discipline.”

Things to consider

  • Active Top Secret clearance is mandatory, which may limit eligibility for some candidates.
    — “Active Top Secret clearance is required.”

How to stand out

  • Highlight experience with cloud-native development and specific AWS or Azure services in your resume.
    — “Exposure to or hands-on experience with core cloud services in AWS (e.g., S3, Lambda, EC2, IAM) or Microsoft Azure (e.g., Blob Storage, Azure Functions, VMs).”
  • Showcase personal projects or coursework involving AI/ML frameworks or LLM APIs in your application materials.
    — “Coursework, personal projects, or hands-on experience experimenting with AI/ML frameworks (e.g., PyTorch, Hugging Face, LangChain) or commercial LLM APIs.”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • developed cloud-native microservices and applications
  • implemented resilient data processing pipelines
  • developed responsive Web UIs
  • integrated AI/ML models into core analytics workflows
  • supported application security and data recovery
Typical background
1+ year of software development experiencefoundational proficiency in modern programming languages

Skills & requirements

Required

Cloud EngineeringData ProcessingBackend SystemsFull-stack DevelopmentWeb UI DevelopmentAI IntegrationCyber SupportDevSecOpsTestingCI/CDIacData VisualizationContainerizationDatabaseNetworkingOS Internals

Preferred

AWSAzureReactAngularVue.jsTypeScriptRestful ApisGraphQLDockerElasticsearchRedisApache KafkaAi/ml FrameworksTcp/ip NetworkingReverse Engineering

Stack & domain

PythonJavaC#C/c++AWSS3LambdaEC2IAMAzureBlob StorageAzure FunctionsVmsReactAngularVue.jsTypeScriptJavaScriptRestfulGraphQLChart.jsD3.jsDockerElasticsearchRedisApache KafkaPyTorchHugging FaceLangchainTcp/ipWiresharkGhidra

About the role

Original posting from Redhorse Corporation via Lever

About the Organization

Now is a great time to join Redhorse Corporation. We are a solution-driven company delivering data insights and technology solutions to customers with missions critical to U.S. national interests. We’re looking for thoughtful, skilled professionals who thrive as trusted partners building technology-agnostic solutions and want to apply their talents supporting customers with difficult and important mission sets.

Position Description:

  • Cloud Engineering & Development: Assist in developing, testing, deploying, and maintaining cloud-native microservices and applications primarily utilizing AWS and/or Azure (GovCloud/commercial).
  • Data Processing & Backend Systems: Support the implementation of resilient data processing pipelines, event-driven components, and APIs designed to handle high-throughput cyber datasets.
  • Full-Stack & Web UI Development: Develop, test, and maintain responsive Web User Interfaces (UIs), front-end components, and dashboards that enable intuitive data visualization, analytics, and operational workflows.
  • AI & Machine Learning Integration: Assist in connecting AI/ML models, cognitive services, vector databases, and Large Language Model (LLM) APIs into core analytics workflows under the guidance of senior technical staff.
  • Cyber & Vulnerability Support: Collaborate with technical teams to assess application security, inspect software/mobile components, and support the development of custom utilities for data recovery and extraction.
  • DevSecOps & Testing: Participate in CI/CD pipeline usage, write unit and automated integration tests, and utilize Infrastructure as Code (IaC) templates to support continuous delivery across secure environments.

Minimum Qualifications:

  • Education: Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, or a related technical discipline.
  • Experience: 1+ YOE in software development (including internships, co-ops, research labs, or professional production experience).
  • Core Languages: Foundational proficiency in at least one modern language such as Python, Java, C#, or C/C++, 
  • Clearance: Active Top Secret clearance is required.

Preferred Qualifications:

  • Exposure to or hands-on experience with core cloud services in AWS (e.g., S3, Lambda, EC2, IAM) or Microsoft Azure (e.g., Blob Storage, Azure Functions, VMs).
  • Entry-level or associate cloud certifications (e.g., AWS Certified Cloud Practitioner / Solutions Architect – Associate, Microsoft Certified: Azure Fundamentals / Developer Associate).
  • Familiarity with modern front-end frameworks and libraries such as React, Angular, Vue.js, or TypeScript/JavaScript.
  • Basic experience consuming RESTful or GraphQL APIs and working with data visualization libraries (e.g., Chart.js, D3.js).
  • Basic knowledge of containerization concepts using Docker.
  • Exposure to relational or NoSQL databases, or familiarity with data platforms and messaging systems (e.g., Elasticsearch, Redis, Apache Kafka).
  • Coursework, personal projects, or hands-on experience experimenting with AI/ML frameworks (e.g., PyTorch, Hugging Face, LangChain) or commercial LLM APIs.
  • Basic understanding of TCP/IP networking fundamentals and protocol analysis tools (e.g., Wireshark).
  • Familiarity with OS internals, reverse engineering fundamentals, or binary analysis tools (e.g., Ghidra) is a plus.

The salary range provided for this position represents the anticipated base salary for successful candidates. Actual compensation will be determined based on a variety of factors, including relevant experience, education, certifications, skills, security clearance level, geographic location, market conditions, and internal equity. In addition to base salary, eligible employees may participate in Redhorse's comprehensive benefits programs and may be eligible for performance-based or other incentive compensation, where applicable.

Redhorse Corporation is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability, or any other protected class.

If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to access job openings or apply for a job on this site as a result of your disability. You can request reasonable accommodations by contacting Talent Acquisition at Talent-Acquisition@redhorsecorp.com

Redhorse Corporation shall, in its discretion, modify or adjust the position to meet Redhorse’s changing needs. This job description is not a contract and may be adjusted as deemed appropriate in Redhorse’s sole discretion.

Source: Redhorse Corporation careers (Lever)

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