Senior Full Stack Developer

Why Trinnex

If you are passionate about water and technology, Trinnex is the place for you! Trinnex is a visionary company that is transforming the way water resources are managed and protected. By combining cutting‑edge digital technologies, such as sensor/IoT data, models, geospatial data, and AI/machine learning, we create innovative, smart, and scalable solutions that make a difference. Whether it's optimizing water supply and demand, detecting leaks and anomalies, or enhancing water quality and resilience, Trinnex delivers value and impact to public sector clients across the country.

Job Description

Trinnex, a wholly owned subsidiary of CDM Smith, is looking for a Senior Full Stack Developer to join our growing Digital Solutions team. You’ll work on modern, high‑impact applications that bring together sensor and IoT data, geospatial technologies, machine learning, and AI‑powered agent systems to solve real‑world engineering and environmental challenges. In this role, you’ll help shape next‑generation intelligent applications, including systems that use autonomous and semi‑autonomous agents, retrieval‑augmented generation (RAG), and agent orchestration frameworks. You’ll work across the full technology stack, collaborate with a talented, cross‑functional team, and have the opportunity to influence technical direction while building scalable, production‑ready solutions.

Duties and Responsibilities

• Design, develop, and maintain scalable frontend and backend applications using modern frameworks and architectures.
• Build, integrate, and optimize REST, GraphQL, and other APIs to support secure, high performing systems.
• Apply best practices in code quality, security, performance optimization, and testing throughout the development lifecycle.

• Contribute to the design and implementation of AI‑driven features, including agent‑based workflows and intelligent application components.
• Support systems that use retrieval‑augmented generation (RAG), vectorized data access, and contextual retrieval strategies.
• Collaborate on architectures that enable agent orchestration and agent to agent (A2A) communication.

• Develop and execute automated testing strategies to ensure reliability and performance.
• Deploy applications through CI/CD pipelines and partner with DevOps teams to support scalability, monitoring, and production readiness.
• Troubleshoot and resolve complex issues across the application stack.

• Collaborate with developers, designers, DevOps, and domain experts on solution design and feature delivery.
• Conduct code reviews and contribute to continuous improvement of engineering practices.
• Mentor and support junior developers across frontend, backend, and integration work.

Skills and Abilities

• Strong experience designing and developing full stack web applications.
• Proficiency with modern front end frameworks (e.g., React with Context API and Hooks).
• Experience with back end development using C#/.NET and JavaScript/TypeScript (Node.js, Next.js, Express).
• Solid understanding of API design, data integration, and system architecture.
• Experience with geospatial technologies such as ESRI, PostGIS, and Mapbox.
• Demonstrated ability to diagnose and solve complex technical problems.
• Strong communication and collaboration skills, with the ability to explain technical concepts clearly.
• Experience designing or contributing to agentic systems, including multi‑step or multi‑agent workflows.
• Understanding of RAG patterns, agent orchestration concepts, and A2A communication models.
• Familiarity with AI development tools and assistants (e.g., Claude, Cursor).
• Proactive mindset toward learning and applying emerging technologies.

Minimum Qualifications

• Bachelor’s degree.
• 5 years of relevant professional experience.

Equivalent additional directly related experience will be considered in lieu of a degree.

Domestic and/or international travel may be required. The frequency of travel is contingent on specific duties, responsibilities, and the essential functions of the position, which may vary depending on workload and project demands.

Preferred Qualifications

• Experience with cloud platforms and Kubernetes based environments.
• Knowledge of CI/CD pipelines and automated deployment practices.
• Familiarity with Google Cloud Platform (GCP).
• Experience building AI driven or agent based applications in production.
• Hands‑on experience with multi‑agent orchestration, Model Context Protocol (MCP), and standardized agent access to local and remote data.
• Practical experience implementing RAG solutions, including document ingestion, vector storage, and contextual retrieval.

Amount of Travel Required

0%

Background Check and Drug Testing Information

CDM Smith Inc. and its divisions and subsidiaries (hereafter collectively referred to as “CDM Smith”) reserve the right to require background checks including criminal, employment, education, licensure, etc. as well as credit and motor vehicle when applicable for certain positions. In addition, CDM Smith may conduct drug testing for designated positions. Background checks are conducted after an offer of employment has been made in the United States. The timing of when background checks will be conducted on candidates for positions outside the United States will vary based on country statutory law but in no case, will the background check precede an interview. CDM Smith will conduct interviews of qualified individuals prior to requesting a criminal background check, and no job application submitted prior to such interview shall inquire into an applicant’s criminal history. If this position is subject to a background check for any convictions related to its responsibilities and requirements, employment will be contingent upon successful completion of a background investigation including criminal history. Criminal history will not automatically disqualify a candidate. In addition, during employment individuals may be required by CDM Smith or a CDM Smith client to successfully complete additional background checks, including motor vehicle record as well as drug testing.

Pay Range Minimum

$120,411

Pay Range Maximum

$210,704

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