• Lead the deployment and configuration of our application in on-premises and cloud environments for enterprise clients. • Perform onsite visits as needed to install, configure, and troubleshoot deployments. • Make real-time code adjustments and customizations onsite to address unique client requirements and ensure optimal performance. • Collaborate closely with clients to understand their workflows, gather requirements, and implement tailored solutions. • Provide technical guidance, training, and support during and post-deployment to maximize adoption and satisfaction. • Identify opportunities for improvements and feed insights back to the core engineering team. • Troubleshoot and resolve complex technical issues in production environments, ensuring high availability and security. • Document deployment processes, customizations, and client-specific configurations.

• Design, develop, and implement customized Salesforce solutions to meet client needs • Analyze issues at the system level and implement effective solutions • Work closely with customers, product owners, scrum masters, and core development teams • Automate and execute all levels of testing (unit, integration, and regression) • Document and lead the implementation of technical features, improvements, and innovations • Embrace a full-stack development mentality, including DevOps, front-end, and back-end development • Participate in architecture discussions and planning • Mentor others in development technologies, tools, and processes

• Design, develop, and operate fullstack applications and APIs that connect frontends, services, and the Enfuce payments backend. • Build modern, performant UIs with React (TanStack Router + Query) and robust backend services with Node.js and AWS. • Own features end-to-end. You take ideas to design, implementation, and production operation. • Collaborate closely with product owners, designers, and other engineers to turn complex requirements into elegant, maintainable solutions. • Contribute to architecture decisions that improve scalability, reliability, and developer experience. • Continuously raise the bar for code quality, testing, and deployment practices through code reviews and shared standards.

• Accelerate delivery of pilots and reusable kits by building, testing, and refining AI‑enabled components (agents, RAG, integrations, evaluation harnesses, internal tooling) • Build features and components for central AI starter kits: Agent and workflow components, RAG pipelines, data connectors, lightweight UI where needed • Evaluation harnesses and metrics dashboards (quality, latency, cost) • Implement strong engineering hygiene: Tests, linting, code review participation, CI/CD contributions • Clear documentation and runbooks for what you build • Support BU delivery: Help adapt central patterns to BU contexts under supervision • Contribute to show‑and‑tell demos and case study write‑ups • Contribute to the AI‑DLC (AI‑Driven Development Lifecycle): Work spec‑first, keep changes small, and prove behaviour with tests and evals