Senior Software Engineer - Full Stack (TS Clearance)

Andesite is building a product for technical operators in the national security space. The Senior Full Stack Software Engineer will develop backend and frontend systems for analyzing multi-source intelligence data, work directly with customers and operators, and strengthen platform capabilities across products.

Responsibilities:

• Design, build, and launch resilient, high-performance web applications and secure APIs that process, visualize, and fuses multi-source intelligence data - including social media feeds, audio streams, and geolocation telemetry - for mission-critical operator workflows
• Partner directly with Product, Design, Domain SMEs, and other Engineering teams to translate complex technical requirements into seamless user experiences that empower national security analysts
• Deploy in the product alongside tactical operators, iteratively building, validating, and optimizing custom tools directly within real-world national security operational contexts
• Extend and strengthen Andesite’s core platform capabilities, ensuring seamless data integration, low-latency performance, and scalable infrastructure that benefits multiple product offerings

Requirements:

• An Active TS security clearance is required for this role
• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field
• Active TS clearance
• Minimum of 5 years of full stack engineering experience
• Experience developing responsive, scalable frontends and APIs and data structures, algorithms, and software design
• Proficiency in programming languages like Python and Javascript
• Experience with cloud-based solutions (AWS, GCP, Azure) and familiarity with containerization technologies (Docker, Kubernetes)
• Proficiency with AI coding tools and harness development
• Excellent written and verbal communication skills
• Passion for delivering products that delight customers that use next generation AI technology
• 2+ years of experience working in an early stage (Seed / Series A) startup
• Experience developing AI products that leverage natural language processing, computer vision, or other machine learning techniques