
Lead AI Software Developer with Security Clearance
Quick overview
Job description
Zachary Piper Solutions is seeking a Lead AI Software Developer to support the modernization of mission-critical air traffic systems. This is a hybrid position in Egg Harbor Township, NJ, requiring three days on-site and two days remote each week. Candidates must be eligible to obtain and maintain a Public Trust. The Lead AI Software Developer will develop and modernize real-time software used in safety-critical environments. This role combines microservices development, systems engineering, and AI-assisted software development to improve the quality and reliability of complex applications. Responsibilities for the Lead AI Software Developer include:
- Design, develop, and maintain microservices that support real-time, mission-critical applications
- Translate system requirements into software solutions in collaboration with systems engineers, architects, and product teams
- Analyze existing interfaces, data flows, and codebases to introduce new capabilities while maintaining operational stability
- Integrate services with databases, messaging platforms, and external APIs
- Use AI-assisted tools to support coding, debugging, refactoring, and test development
- Develop automated unit, integration, contract, and end-to-end tests to support reliable software releases
- Participate in Agile ceremonies and technical design discussions alongside QA, DevSecOps, and platform teams
- Troubleshoot software issues, improve application performance, and contribute to continuous delivery practices
- Bachelor's degree in Computer Science, Engineering, or a related technical field and 4+ years of relevant experience, or a Master's degree and 2+ years; equivalent experience may be considered
- Hands-on experience developing and supporting microservices-based applications
- Proficiency in Java, Python, C++, or a comparable programming language in a Linux environment
- Experience using AI-assisted engineering tools to analyze code, develop solutions, and improve software quality
- Experience or exposure to AI/ML-enabled systems, automation, or intelligent platforms
- Ability to understand complex software systems, interfaces, and data flows and communicate architectural concepts
- Experience enhancing existing software while maintaining system stability
- Experience working in Agile environments and knowledge of APIs and distributed systems
- Must be eligible to obtain and maintain a Public Trust and successfully complete required background investigations
Preferred Qualifications for the Lead AI Software Developer include
- Experience with large-scale distributed, high-availability, or safety-critical systems
- Experience analyzing existing codebases, reverse-engineering designs, or integrating legacy systems
- Familiarity with SAFe, Git, CI/CD pipelines, and DevSecOps practices
- Experience with relational or NoSQL databases and Kafka or other event-streaming technologies
- Familiarity with AWS, Azure, or GCP and container technologies such as Docker and Kubernetes
- Experience integrating automated testing frameworks into CI/CD pipelines
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