Software Engineer at Secunetics is responsible for designing, building, and deploying AI-powered agents within the Gobo Framework, a FedRAMP-authorized SaaS platform, to automate federal workflows. You will develop robust RESTful APIs, architect and consume secure, scalable interfaces, and implement automated unit tests and end-to-end tests to maintain high reliability in high-stakes environments. The role includes optimizing data architectures across relational databases and large-scale data warehouses, and applying security-first development practices to mitigate web application risks. You will collaborate with cross-functional teams to transform complex infrastructure requirements into elegant, automated software solutions, and you will engage across the full SDLC from requirements analysis to deployment and ongoing maintenance. Required skills include Python, JavaScript/TypeScript, experience with agentic coding tools, automated testing, and cloud platform experience (GCP or AWS). You should be comfortable debugging production issues using logs, traces, and metrics, and have a broad understanding of AI/ML technologies beyond basic prompting. Additional preferences include containerization (Docker) and Kubernetes, as well as a degree in computer science or a related field. US citizenship or Green Card and the ability to obtain Top Secret clearance are required.

Software Engineer at Secunetics is responsible for designing, building, and deploying AI-powered agents within the Gobo Framework, a FedRAMP-authorized SaaS platform, to automate federal workflows. You will develop robust RESTful APIs, architect and consume secure, scalable interfaces, and implement automated unit tests and end-to-end tests to maintain high reliability in high-stakes environments. The role includes optimizing data architectures across relational databases and large-scale data warehouses, and applying security-first development practices to mitigate web application risks. You will collaborate with cross-functional teams to transform complex infrastructure requirements into elegant, automated software solutions, and you will engage across the full SDLC from requirements analysis to deployment and ongoing maintenance. Required skills include Python, JavaScript/TypeScript, experience with agentic coding tools, automated testing, and cloud platform experience (GCP or AWS). You should be comfortable debugging production issues using logs, traces, and metrics, and have a broad understanding of AI/ML technologies beyond basic prompting. Additional preferences include containerization (Docker) and Kubernetes, as well as a degree in computer science or a related field. US citizenship or Green Card and the ability to obtain Top Secret clearance are required.