AppnovationSource d’offres vérifiée

Senior Developer, Fullstack - Python

Offre en anglais

Toronto, ON
Sur place
Publié 25 août 2026
1 poste

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Type d’emploi: Temps plein, Contrat
Niveau d’expérience: Expérimenté · 6+ ans
Formation minimale: Baccalauréat
Langue de l’offre: anglais
Heures de travail: 40 heures par semaine

Résumé du poste

You will develop backend automation and agent-enabled applications to turn metadata into governed, production-quality software. Additionally, you will design user-facing interfaces and services that ensure data is discoverable and easy to consume across the platform.

Détails du poste

About us Appnovation is a global, full-service digital partner that combines Strategy, Experience & Design, Engineering and Managed Services. We build digital solutions that deliver real impact today and serve as foundations for future growth. Bold ambition. Practical action. Endless possibilities. ABOUT THE ROLE 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. WHAT YOU WILL DO 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. QUALIFICATIONS Bachelor’s Degree in Computer Science, or equivalent. 6+ years of experience in software engineering with a strong focus on fullstack development. Experience developing and optimizing code using AI-powered tools such as Claude Code and GitHub Copilot to enhance productivity and code quality. Software engineers who understand data-engineering principles and can transform catalogue and metadata output into working software. Strong Python engineering skills, including API and service design (e.g., FastAPI), asynchronous programming, and schema validation (Pydantic / JSON Schema). Understanding of Graph RAG data structures. Experience with Neo4j, Supabase. Proven track record in architecting agentic workflows and AI-driven solutions, incorporating deep integration with LLMs and sophisticated autonomous frameworks. 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. Experience with unit testing, integration testing, and modern DevOps practices (e.g., Git, CI/CD pipelines). Experience with Cloud Computing and Serverless Architecture, preferably AWS. Strong understanding of agile principles and methodologies. PREFERRED QUALIFICATIONS Experience building MCP servers in addition to consuming them. Familiarity with data governance and catalogue tooling and with data-contract standards. Experience in a regulated or life-sciences environment. TECHNICAL EXPERIENCE Backend (primary): Python - FastAPI, Pydantic, asynchronous services. Frontend: React, TypeScript, Next.js; Supabase (interfaces align with the platform’s established internal tooling). AI and agents: MCP (build and consume), large language model and agent frameworks, Snowflake Cortex and Genie, Neo4j. Governance and catalogue: Collibra, Unity Catalogue, Horizon; YAML data contracts. Infrastructure and data: Docker, AWS, PostgreSQL, Databricks, Snowflake, Supabase WHO YOU ARE You think about how to scale, automate and operate, not just how to build a solution to an immediate problem You understand lean thinking You set high standards for code quality, performance/scalability and security and seek continuous improvement You have solid analytical, problem-solving, and decision-making skills You have a customer-first mindset and a devotion to customer service You engage and build positive internal and external client relationships, while managing multiple initiatives, often with competing priorities 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 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 You have prior experience in consulting Prior experience and connections in the Life Sciences industry is preferred Thank you for your interest in a career with Appnovation Technologies! Please note that only those selected for an interview will be contacted. At Appnovation, we recognize that diverse teams are the strongest teams. Diversity, Equity & Inclusion is not only something that we embrace - we celebrate it! We are proud to be an Equal Opportunity Employer and we encourage applicants from all backgrounds, lived experiences and industries to apply. Come join us at Appnovation, and learn more about how we stay true to our company values as we build better lives through better digital. Accommodations are available upon request throughout the recruitment process.

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Exigences

Candidates must have a Bachelor's degree in Computer Science and at least 6 years of experience in fullstack software engineering. Strong proficiency in Python, modern frontend frameworks, and experience with AI-driven solutions and data-engineering principles are required.