Solution Architect

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.

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.

• 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

• 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

• 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

• 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

• 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

• 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 development with at least 2 in a senior/lead role; proven track record owning the technical side of complex projects end-to-end; strong proficiency in NodeJS, Python, React/TypeScript, and AWS with AWS CDK; advanced practitioner of AI-assisted engineering and agentic workflows; excellent communicator who thrives in tight collaboration with a Value Builder and an extended dev team."

Originally posted on Himalayas