> Markdown version of [/jobs/ext/4608962-principal-software-engineer-us](https://www.wearedevelopers.com/jobs/ext/4608962-principal-software-engineer-us). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Software Engineer (US) - **Company:** TD COMPANY INC - **Location:** Mount Laurel Township, NJ, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Cloud Computing, Cloud Engineering, Continuous Integration, Distributed Systems, Python (Programming Language), Machine Learning, Software Architecture, Systems Development Life Cycle, Reliability Engineering, Software Engineering, Generative AI, Kubernetes, Infrastructure Automation Frameworks, Restful APIs, Devsecops, Microservices - **Published:** November 6, 2026 - **Apply:** https://www.juju.com/job/28_25303_c741f58bd05662ba9d2a9d27dd51b586 ## About the Role Requires 15+ years of relevant software engineering experience, including substantial senior technical leadership and experience in complex, regulated environments; a bachelor's degree, postgraduate degree, or technical certificate is listed, with a graduate degree preferred. Candidates should bring deep hands-on expertise in architecture, cloud-native and distributed systems, platform engineering, AI/ML applications, DevSecOps, CI/CD, and production resilience, with a record of measurable enterprise-scale outcomes., Software Engineering, Technical Leadership, Software Architecture, Platform Engineering, Artificial Intelligence And Generative AI, Java, Python, Cloud Platforms, Kubernetes, Microservices, REST APIs, CI/CD, Infrastructure As Code, DevSecOps, Site Reliability Engineering, Incident Management ## Description Lead enterprise-scale software engineering strategy, architecture, and delivery, including the design and implementation of secure, reliable, scalable solutions and engineering platforms. Set engineering standards, guide modernization and AI-enabled SDLC transformation, manage technical and operational risks, and mentor teams and stakeholders.