Senior Developer (Fullstack, Python)

As a Senior Developer, Fullstack (AI & Data Platform), you will join a highly motivated and experienced team building agent-enabled applications and backend automation that turn catalogue and metadata into governed, production-quality software

Working alongside data engineering and governance partners, you will design services, tooling, and user-facing interfaces that make data discoverable, trustworthy, and easy to consume across the platform. We are looking for people who can bring a strong, consulting and solution-focused mindset and contribute to architectural decisions, best practices and get things done

Develop backend automation that integrates multiple metadata sources and generates governed artifacts - for example, automatically producing a data contract for review, editing, and publication to the registry

Design and build agent-enabled applications and workflows, including MCP servers and tools such as a data-contract generator or a data-readiness assessment utility

Build user-facing interfaces for platform and discovery workflows

Deliver production-quality services with sound API design, testing, and CI/CD practices

Experience with unit testing, integration testing, and modern DevOps practices (e.g., Git, CI/CD pipelines)

Proficiency in modern frontend frameworks, specifically React and Vue.js, as well as ES6 and TypeScript

Experience designing, developing, and consuming RESTful APIs and microservices

Bachelor’s Degree in Computer Science, or equivalent

Experience with Neo4j, Supabase

Understanding of Graph RAG data structures

Software engineers who understand data-engineering principles and can transform catalogue and metadata output into working software

Proven track record in architecting agentic workflows and AI-driven solutions, incorporating deep integration with LLMs and sophisticated autonomous frameworks

Strong understanding of agile principles and methodologies

Strong Python engineering skills, including API and service design (e.g., FastAPI), asynchronous programming, and schema validation (Pydantic / JSON Schema)

Experience developing and optimizing code using AI-powered tools such as Claude Code and GitHub Copilot to enhance productivity and code quality

6+ years of experience in software engineering with a strong focus on fullstack development

Experience with Cloud Computing and Serverless Architecture, preferably AWS

Governance and catalogue: Collibra, Unity Catalogue, Horizon; YAML data contracts

Frontend: React, TypeScript, Next.js; Supabase (interfaces align with the platform’s established internal tooling)

Infrastructure and data: Docker, AWS, PostgreSQL, Databricks, Snowflake, Supabase

AI and agents: MCP (build and consume), large language model and agent frameworks, Snowflake Cortex and Genie, Neo4j

Backend (primary): Python - FastAPI, Pydantic, asynchronous services

Prior experience and connections in the Life Sciences industry is preferred

You think about how to scale, automate and operate, not just how to build a solution to an immediate problem

You have a customer-first mindset and a devotion to customer service

You have solid analytical, problem-solving, and decision-making skills

You understand lean thinking

You set high standards for code quality, performance/scalability and security and seek continuous improvement

You have prior experience in consulting

You have strong self-initiative, passion, interpersonal, oral and written communication and collaboration skills with the ability to work, influence and make an impact in a cross-functional environment with all levels of the organization

You engage and build positive internal and external client relationships, while managing multiple initiatives, often with competing priorities

You are responsive and thrive in a fast-paced diverse high-performance environment with rapidly changing business needs

You actively seek out things outside your comfort zone with the ability to rapidly learn and take advantage of new concepts, business models, and technologies

Familiarity with data governance and catalogue tooling and with data-contract standards

Experience building MCP servers in addition to consuming them

Experience in a regulated or life-sciences environment