> Markdown version of [/jobs/ext/4509600-dev-lead](https://www.wearedevelopers.com/jobs/ext/4509600-dev-lead). 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). --- # Dev Lead - **Company:** Eliassen Group - **Location:** Trenton, NJ, United States (Remote available) - **Experience:** Expert - **Salary:** $228,800.0 - $249,600.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Application Testing, Microsoft Azure, Software as a Service, Code Coverage, Software Quality, Continuous Integration, Elasticsearch, Information Sciences, Python (Programming Language), Performance Tuning, OpenAI, Software Engineering, SonarQube, Systems Integration, ReactJS, Retrieval-Augmented Generation, Large Language Models, Technical Debt, Veracode, Generative AI, Agentic-AI, Fastapi, Information Technology, Front End Software Development, Claude, Restful APIs, Devsecops, Vulnerability Analysis, Microservices - **Published:** November 1, 2026 - **Apply:** https://www.techcareers.com/job.asp?id=3485686260&tx=CT2927TTZ&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * 7+ years of professional software engineering with solution architecture in complex enterprise environments. * 1+ years building GenAI applications, including RAG, agentic search, workflows, and integrations with commercial LLMs. * 2+ years leading or mentoring engineers. * 2+ years as a senior or principal engineer with design, implementation, and operational ownership. * 2+ years leading engineering work in Agile teams with Product Owners, Product Analysts, and Quality Engineers. * Proficiency translating business requirements into technical designs. * Hands-on Python with FastAPI for REST APIs and microservices. * Front-end development with ReactJS. * Building on AWS and Azure, including Azure OpenAI and other LLMs such as Claude. * Designing GenAI and LLM applications for retrieval and synthesis over large document collections. * Systems integration, architecture standards and principles, and SaaS selection and integration. * Elasticsearch development including indexing pipelines, relevancy tuning, and search performance. * CI/CD and DevSecOps, including code quality and security scanning with tools such as SonarQube and Veracode. * Application testing, diagnostics, and performance tuning for a global user base. * Clear technical documentation and architecture artifacts. * Agentic engineering and specification-driven development with reliable AI coding agent execution across the lifecycle while retaining human accountability. Education Requirements: * BA/BS or MS in computer science, information sciences, or a similar field, or equivalent experience. * AWS or Azure cloud certification preferred. ## Description * Own solution architecture and design, balancing functionality with security, scalability, resilience, usability, performance, cost, and reuse. * Set technical direction for the backlog, supply technical detail for stories, and support refinement and story mapping. * Define squad technical priorities and advise the Product Owner on product priorities. * Own service security and raise feasibility questions and risks early. * Stay current on GenAI and emerging technologies and share insights across teams. * Lead agentic engineering practices from planning through implementation and iteration. * Own pull request process with AI-assisted review before human review and enforce coding norms and patterns. * Maintain healthy code scanner findings and test coverage, and prevent new technical debt. * Set guardrails for agent-generated code and require validation against specifications and standards. * Remove blockers, coach engineers on escalations, validate release timelines, and execute deployments. * Manage technical dependencies within and across teams and improve squad velocity and flow. * Foster a safe environment for questions, experimentation, and reversible mistakes; support team morale and balance. * Model team expectations and deliver direct, constructive feedback. * Join business conversations with the Product Owner to align technical work with outcomes and share knowledge through forums and sessions.