Solution Architect

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