Mid Level Cloud Software Engineer

Job Description

Job Description

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.

About the Role

Redhorse transforms the way government uses data and technology. To support this mission, our Cyber Analytics team is seeking a Cloud Software Engineer (Full-Stack and AI) – Mid-Level to play a key role in building, optimizing, and deploying enterprise-scale, AI-enabled data processing and visualization systems.

In this role, you will support mission-critical federal customer environments operating across hybrid, on-premises, and multi-cloud (AWS/Azure GovCloud) ecosystems. You will contribute across the full software lifecycle—from developing scalable backend services and integrating modern Artificial Intelligence (AI/ML) workflows to building responsive, intuitive web user interfaces for analysts and end-users. If you are a motivated engineer eager to apply modern cloud and AI capabilities to real-world national security challenges, we encourage you to apply.

Key Responsibilities

• Cloud & Microservices Development: Develop, test, and maintain highly available, secure microservices and cloud components across AWS and Microsoft Azure (GovCloud and commercial).
• Full-Stack & Web UI Engineering: Build modern, responsive Web User Interfaces (UIs) and data dashboards using frameworks such as React, Angular, or Vue.js to deliver clear operational insights to analysts.
• AI & Machine Learning Integration: Integrate cognitive services, vector databases, and Large Language Models (LLMs)/Generative AI capabilities into data pipelines to support automated insight discovery.
• Data Pipeline Support: Assist in building and maintaining distributed data processing workflows and event-driven messaging systems to handle high-throughput cyber datasets.
• Cyber & Tooling Support: Collaborate with technical teams to analyze software behaviors, evaluate security features, and support the development of custom data extraction and recovery tools.
• DevSecOps & Automation: Utilize Infrastructure as Code (IaC) and participate in CI/CD pipeline automation and automated testing to ensure reliable deployment across secure environments.
• Cross-Functional Collaboration: Work closely with senior architects, data scientists, and federal stakeholders to translate user requirements into robust, deployable software features.

Required Experience/Clearance

• Security Clearance: Active Top Secret (TS) security clearance.
• Education: Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, or a related technical STEM discipline.
• Experience: 2+ years of progressive software development experience delivering scalable applications in operational or production environments.
• Backend Proficiency: Hands-on experience with core backend programming languages such as Python, Java, C#, or C/C++, along with scripting capabilities (Bash, PowerShell).
• Cloud Foundations: Practical experience deploying and interacting with cloud services within AWS or Microsoft Azure.
• Core Software Concepts: Solid foundation in RESTful API development, relational/NoSQL databases, version control (Git), and software design principles.

Desired Experience

We encourage all candidates who meet the basic requirements to apply, even if you do not have any of the following experience:

• Frontend Frameworks & Visualization: Hands-on experience with modern JavaScript/TypeScript, state management libraries, or visualization tools (e.g., D3.js, Chart.js).
• AI/ML & LLM Frameworks: Exposure to integrating AI/ML workflows, natural language processing (NLP), or LLM orchestration libraries (e.g., LangChain, LlamaIndex, PyTorch, Azure OpenAI, AWS Bedrock).
• Containerization & Distributed Systems: Familiarity with Docker, Kubernetes, Apache Kafka, Apache Spark, Elasticsearch, or Redis.
• Infrastructure as Code (IaC): Exposure to Terraform, AWS CloudFormation, or Azure ARM/Bicep templates.
• Cyber & Protocol Analysis: Familiarity with network analysis tools (e.g., Wireshark, tcpdump) or basic operating system internals.
• Cloud Certifications: An associate-level cloud certification (e.g., AWS Certified Solutions Architect – Associate, AWS Certified Developer, or Microsoft Certified: Azure Developer Associate).

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- View email address on ziprecruiter.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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.