Job Opportunities API

About Exelab Exelab is a technology partner for enterprise companies, specializing in custom digital applications that enhance customer engagement, streamline business processes, and enable data-driven decision-making. We are a HubSpot Elite partner, Twilio Gold partner, and AWS partner. We work with leading brands to deliver scalable, high-performance solutions tailored to their needs—going beyond execution to create measurable value across CRM, marketing automation, AI-driven analytics, and customer experience platforms. The Solution Architect Role At Exelab we don't sell off-the-shelf products: we build custom solutions, treating every client engagement as a mini product cycle. The Solution Architect is a senior full stack engineer with broader responsibility: the technical owner of the engagement, accountable end-to-end for one or more parallel projects, and still hands-on in the codebase. Our stack is polyglot by design: NodeJS and Python are first-class backend languages and the Solution Architect is expected to be fluent in both. Python in particular plays a central role across data integrations, automations, and AI/ML workflows—a meaningful share of what we ship has Python at its core. In our delivery framework, the Solution Architect works in a duo with the Value Builder: Value Builder → owns business value, client outcomes, product direction Solution Architect → owns solution design, technical feasibility, delivery quality The two roles are peers. The partnership between them is what makes our engagements work. Key Responsibilities Solution design — translate business problems into well-architected technical solutions, balancing time-to-value, scalability, and maintainability Project technical ownership — full accountability for the technical outcome of one or more projects in parallel Hands-on engineering — build full stack applications across NodeJS, Python, React/TypeScript, and AWS, staying close to the code AI-assisted engineering leadership — be a power user of modern AI coding tools and agentic workflows, and help the team adopt them Engineering standards — set and uphold standards on testing, CI/CD, observability, and IaC (AWS CDK) Cross-functional collaboration — work in continuous dialogue with the Value Builder, Project Managers, and partner specialists Requirements Experience 7+ years in full stack development, at least 2 in a senior/lead capacity Proven track record owning the technical side of projects end-to-end Core technical stack NodeJS and its main backend frameworks Python as a first-class backend language—for APIs, data processing, automations, and AI/ML workloads React and TypeScript for modern frontend development AWS, including IaC with AWS CDK Relational and non-relational databases (e.g. MySQL, DynamoDB) RESTful APIs and third-party integrations Git and modern development workflows AI-assisted engineering Demonstrated proficiency with AI coding tools (Claude Code, Cursor, Copilot, and similar) and agentic workflows Ability to evaluate, guide, and improve AI-generated code—and to bring others along the same curve Evaluated as a core technical skill during the interview process Soft skills Excellent communication, technical and client-facing Bias toward action, shipped outcomes, pragmatic trade-offs Good command of English, written and spoken Italian language proficiency is mandatory Nice to Have Previous experience in a startup or consulting environment High-coverage automated testing experience Additional programming languages AWS or Azure certifications CRM, ERP, or Ecommerce integration projects Serverless architecture and microservices AI and data systems experience Ideal profile: "7+ years in full stack d