Areté's IT Business Systems team builds the company's internal applications, automations, and integrations with AI coding agents as a core part of its delivery model — and we are hiring the developer who will do the building. Working from requirements framed by our IT Business Systems team, you will deliver working, supportable solutions: custom applications, workflow and process automations, system integrations, and data pipelines across our ERP, engineering, and business platforms.
This is a hands-on, execution-focused role. We expect fluency in agent-assisted development paired with sound engineering judgment — readable architecture, secure handling of company data, source control discipline, and solutions that survive after their builder moves on to the next project. You will work directly with end users, process owners, and business leaders: participating in discovery, demonstrating working software, presenting proposed solutions, and training the people who use what you build. Comfort in front of a non-technical audience matters as much as the ability to build.
The candidate will work from one of our facilities in Niwot, CO, Tucson, AZ, Northridge, CA, or Falls Church, VA. Some remote work is available, but candidates must live within reasonable commuting range of one of these facilities and be able to work onsite regularly. The candidate will collaborate closely with the IT Business Systems team and Enterprise IT staff, travel occasionally, and provide some afterhours support. This is an exempt non-supervisory full-time position.
Primary Responsibilities:
• Design, build, test, and deploy custom internal applications and business process automation solutions from requirements through production release.
• Use AI coding agents as a primary development tool — working from written specifications rather than ad-hoc prompting — while owning the correctness, security, maintainability, and documentation of everything produced.
• Build and maintain integrations between disparate business platforms — ERP, PLM, HR, engineering, and SaaS systems — using APIs, connectors, and scheduled data flows.
• Take on occasional smaller builds such as Model Context Protocol (MCP) servers that connect Areté's internal systems and tools to AI agents and assistants, including the authentication, access scoping, and logging those connections require.
• Assess technical feasibility, size effort, and validate the recommended approach before work begins; own the detailed technical design — data model, integration architecture, and component structure — once an approach is selected.
• Deploy and maintain solutions in Microsoft Azure with Enterprise IT, using CI/CD pipelines and infrastructure-as-code so environments are reproducible and releases repeatable.
• Apply source control, code review, environment separation, and release practices so solutions are versioned, testable, and recoverable.
• Participate in process discovery sessions alongside the Business Solutions Analyst — interview users and observe real workflows to validate that a proposed solution will work in practice.
• Demonstrate working software, present proposed technical solutions to business audiences, and train and support end users on the applications you build.
• Produce and maintain technical documentation: architecture diagrams, data flow and interface documentation, runbooks, and end-user support material.
• Provide post-deployment support, enhancement, and troubleshooting for applications in service, ensuring solutions meet Areté's security, data handling, and compliance requirements.
• Other duties, as assigned.
Experiences and Background We Look For:
• Bachelor's Degree in Computer Science, Information Technology, Software Engineering, or a related discipline, or an additional 2 years of relevant work experience in lieu of a degree.
• Minimum of 3 years building and supporting business applications, integrations, or process automation solutions in a professional environment.
• Demonstrated proficiency in at least one modern programming language (e.g., Python, C#, JavaScript/TypeScript) and the ability to read and reason about code you did not write.
• Hands-on experience developing with AI coding agents — Claude Code, GitHub Copilot, Cursor, or similar — working from a written spec, plan, and acceptance criteria, and reviewing and validating agent-generated code before it ships. We don't expect you to have used every tool we use; we expect you to have shipped real work with at least one agentic tool and to keep that work reviewable and reproducible.
• Working knowledge of relational databases and SQL, including the ability to query, model, and troubleshoot data across systems.
• Experience building and consuming REST APIs and integrating third-party or vendor platforms.
• Experience deploying and supporting applications in a cloud environment — Microsoft Azure preferred.
• Proficiency with Git and experience working within CI/CD pipelines (GitLab CI preferred).
• Strong stakeholder skills: the ability to sit with a non-technical end user and earn their trust, present and demonstrate solutions to business audiences, and produce clear written documentation of systems and interfaces.
• Must be eligible to obtain and maintain a U.S. Department of Defense security clearance. A clearance is not required to begin this position but may be required in the future.
Nice to Have:
• Experience across Azure services — App Service, Functions, Entra ID, Azure SQL, Logic Apps, Storage, and networking.
• Infrastructure-as-code experience (Bicep, ARM, or Terraform) — including the ability to create and update templates with the help of an AI coding agent and understand what they actually provision.
• Familiarity with the Model Context Protocol (MCP); production experience building, deploying, and maintaining MCP servers against real internal systems is a strong differentiator.
• Experience authoring GitLab CI pipelines, not just working within them.
• Experience with self-hosted or enterprise-governed workflow automation platforms such as n8n or Power Automate — including judgment about where to draw the line between low-code automation and custom code.
• Experience with containerization (Docker) and modern application deployment patterns.
• Experience producing technical diagrams with diagram-as-code tooling (Mermaid, PlantUML, or similar).
• Experience working with finance, accounting, manufacturing, or engineering stakeholders to turn business objectives into delivered systems.
• Familiarity with secure development practices, OWASP Top 10, and NIST 800-171.
Benefits We Offer:
Generous PTO and Leave Times
• Flextime Scheduling
• Bereavement
• Paid Time Off (PTO)
• Paid Parental Leave
Financial Benefits
• Company-funded 5% contribution to your 401(k) retirement plan
• Company-funded 5% contribution to your Employee Stock Ownership Plan
• Continuing Education Assistance
Health, Medical, and Wellness Benefits
• Medical Insurance
• Dental & Vision Insurance
• Life Insurance and Long-Term Disability (LTD)
• Vision Reimbursement
Skills Required
- Bachelor’s degree in Computer Science, Information Technology, Software Engineering, or a related discipline, or two additional years of relevant work experience in lieu of a degree
- At least 3 years of professional experience building and supporting business applications, integrations, or process automation solutions
- Proficiency in at least one modern programming language, such as Python, C#, JavaScript, or TypeScript
- Hands-on experience developing with AI coding agents and reviewing agent-generated code
- Working knowledge of relational databases and SQL
- Experience building and consuming REST APIs and integrating third-party or vendor platforms
- Experience deploying and supporting applications in a cloud environment; Microsoft Azure preferred
- Proficiency with Git and experience working within CI/CD pipelines
- Strong stakeholder communication, user discovery, solution demonstration, training, and technical documentation skills
- Eligibility to obtain and maintain a U.S. Department of Defense security clearance
- Experience with Azure services including App Service, Functions, Entra ID, Azure SQL, Logic Apps, Storage, and networking
- Infrastructure-as-code experience with Bicep, ARM, or Terraform
- Familiarity or production experience with Model Context Protocol servers
- Experience authoring GitLab CI pipelines
- Experience with n8n or Power Automate
- Experience with Docker and modern application deployment patterns
- Experience with Mermaid, PlantUML, or similar diagram-as-code tooling
- Experience working with finance, accounting, manufacturing, or engineering stakeholders
- Familiarity with secure development practices, OWASP Top 10, and NIST 800-171
What We Do
Areté, an employee-owned company, is an advanced science and engineering company that provides innovative solutions to the most challenging technical problems faced by the United States Defense and Intelligence agencies. Areté is derived from the Greek word “ἀρέτη”, meaning the pursuit of excellence and the achievement of maximum performance. Areté was founded in 1976 by five scientists, tasked by the DoD to help solve the challenge of detecting weak signals in heavy clutter over very wide areas. The signatures involved in this work were so weak that any advancement in signal processing algorithms demanded a new approach and understanding of the underlying fundamentals affecting the sensors and signal phenomena in the environments of interest. This first-principles-of-physics approach has been a hallmark of Areté’s development programs for the past 40 years Areté now works across the electromagnetic spectrum. We develop sensors and the associated signal processing algorithms necessary for the extraction and interpretation of data for systems operating under water, in the atmosphere, and in space. With our emphasis on enhanced signal processing and real-time executable software, Areté is able to improve the performance of existing sensor systems at fractions of the cost and time to operations of replacement systems. We work directly with customers and partners seeking maximum performance. Building on our expertise in detection theory we will continue to exploit the contextual, spatial, spectral, and temporal characteristics of data, incorporating them into our signal processing algorithms. These robust algorithms will continue to enable Areté to rapidly deliver innovative solutions to the ever evolving challenges of our customers.








