Job Description
- Work with customers and stakeholders to gather requirements, document them clearly, and turn them into a technical plan
- Design and build full applications (backend, APIs, data pipelines, and user interface) that meet those requirements
- Architect products to be modular and reusable so they can expand to other assets, customers, and situations without a rewrite
- Develop and deploy AI/ML solutions for predictive maintenance, anomaly detection, and root cause analysis
- Connect detection and diagnosis to action by building workflows that recommend or trigger the fix, such as guided maintenance, work orders, or automated responses
- Use AI coding assistants and tools to build and iterate quickly, while reviewing, testing, and securing all AI-generated work
- Integrate with sensors, controllers, historians, and customer or third-party systems, including in disconnected edge environments
- Write tests and documentation, use CI/CD, and build with security and compliance requirements (STIG, NIST, RMF) from the start
- Demonstrate work to customers and stakeholders and keep them informed of progress and risks
- Any other duties as the job requires.
Skills and Requirements
- BS in Computer Science, Computer Engineering, Software Engineering, Electrical Engineering, Data Science, or a related technical field, or equivalent experience
- 5+ years of professional software development experience, including full-stack or full-application delivery from requirements through deployment
- Proven ability to take an unclear customer need, define the requirements, and deliver a working, tested product
- Strong Python and at least one other language such as C#, TypeScript/JavaScript, Java, or C++.
- Experience building REST APIs, data pipelines, databases, and web user interfaces.
- Hands-on experience applying machine learning in production, such as anomaly detection, classification, or time-series analysis, using tools like PyTorch, TensorFlow, or scikit-learn.
- Experience using AI coding tools to speed up development, with sound judgment on testing, code review, and protecting sensitive data.
- Experience with Git, CI/CD, Docker, and a major cloud platform (Azure preferred).
- Strong written and verbal communication skills, including explaining technical trade-offs to customers and leadership.
- Ability to work independently and quickly in a fast-paced environment with shifting priorities.
- Experience with predictive maintenance, condition-based maintenance (CBM+), or prognostics and health management.
- Experience with large language models, retrieval-augmented generation, or agentic workflows.
- Experience with industrial data sources and protocols such as PLCs, OPC UA, Modbus, or MQTT.
- Experience supporting U.S. Navy or Department of Defense programs, including Azure Government Cloud and RMF, STIG, and NIST requirements.
- Edge or embedded deployment experience on disconnected hardware.
- Cross-platform mobile development experience (for example .NET MAUI).
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to HR@insightglobal.com.