Role Description Trinnex 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 - Full Stack & API Development - Design, develop, and maintain scalable frontend and back end 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. - AI Enabled & Agent Based Systems - 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. - Testing, Deployment, and DevOps Collaboration - 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. - Collaboration, Mentorship, and Delivery - 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. Qualifications - Bachelor’s degree. - 5 years of relevant professional experience. - Equivalent additional directly related experience will be considered in lieu of a degree. Requirements - 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. 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.

• Analyzing system performance, identifying problems, designing, developing, and implementing solutions • Extending metrics collection and creating visualizations to better quantify systems performance • Building tooling to help identify system performance problems faster • Training other Akamai engineers to identify performance issues • Working with teams across the company to implement your solutions

• Lead the architecture for connected vehicle Azure cloud platform • Drive design decisions that ensure scalability, reliability, security, and cost efficiency • Hands-on development of cloud-native services, APIs, event-driven systems • Establish architecture standards, coding practices to ensure high-quality solutions • Mentor engineers and cultivate a culture of continuous learning • Collaborate with embedded engineers and product owner to deliver sprint commitments • Drive continuous improvements in performance, security and cost optimization

• Partner with engineers, product managers, and cross-functional teammates to deliver features and enhancements that support team and business goals • Contribute to the design, implementation, testing, and deployment of scalable cloud services and APIs • Write clean, maintainable, and well-tested code using modern engineering best practices • Own meaningful features and technical deliverables from development through production rollout and support • Support production systems by monitoring service health, troubleshooting issues, and participating in the team's on-call rotation • Help improve platform performance, reliability, observability, and cost efficiency through day-to-day engineering work • Participate actively in code reviews, technical discussions, and design decisions • Document system behavior, technical decisions, and operational procedures to support team knowledge sharing • Collaborate with teammates across Engineering, Product, and Data Science to solve complex technical problems and deliver customer value • Contribute to a strong engineering culture built on learning, accountability, and continuous improvement