Senior Fullstack Engineer

Senior Fullstack Engineer

Publicis Groupe is a global leader in communication and is positioned at every step of the value chain, from consulting to execution, combining marketing transformation and digital business transformation. Through a unified and fluid organization, Publicis Groupe partners with its clients across communication, media, data and technology to ensure access to the full breadth of capabilities in every market. Present in over 100 countries, Publicis Groupe employs around 103,000 professionals.

About the Role

We are building an internal analytics and model operations platform that lets business and analytics users configure machine learning pipelines, trigger long-running data jobs, monitor execution, and explore results in rich visual reports. The stack pairs a modern web front end with a Python API service, a relational database, and cloud data platforms where models and pipelines run. This role leads delivery across the entire stack: user-facing flows, API contracts, job and report state management, and production hardening.

You will work closely with data science, data engineering, and product to turn machine learning capabilities into reliable, intuitive experience.

Team Culture & Collaboration

You will build the application where analysts, business users and clients interact with and leverage machine learning models to drive real value and revenue. The work is full-stack, visible, and tied directly to client deliverables. The team brings together decades of experience in marketing and AdTech and are all motivated to develop the best platform to drive client growth and innovation.

The group is genuinely excited to work on this platform, and there is a real opportunity to own the work and learn from other disciplines like data science, generative AI, marketing intelligence, audience intelligence, machine learning engineering, and more.

User Interface & Experience

• Design and build modern web applications for model configuration, job submission, and report exploration
• Translate data science and analytics pipelines into clear, validated user flows (builders, wizards, configuration panels)
• Implement dashboards, selection forms, and report visualizations (charts, flow diagrams, maps, comparison views)
• Own form validation, cascading field behavior, and error states so users cannot submit jobs that will predictably fail
• Ensure usability, responsiveness, and consistent patterns across different model and report types

Backend APIs & Data Contracts

• Extend Python API services with REST endpoints that expose curated data to the UI (dimension tables, report payloads, run configuration, exports)
• Design JSON APIs that support efficient front-end consumption (filter metadata, report access by run identifier, enriched job status)
• Collaborate on job orchestration flows: submission, execution logging, polling, callbacks, and navigation from run to report

Application State, Performance and Reliability

• Manage client-side state and server synchronization for long-running jobs (in-progress reports, polling, retry, empty-data cases)
• Establish and extend patterns for data fetching and caching to eliminate duplicate API calls and improve perceived performance
• Harden edge cases: handles cases for no-data reports, manage parent/child job relationships, encoded path parameters, multi-audience exports, production release stability

Platform Integration

• Integrate UI and APIs with orchestration layers, job metadata, ingested dimension tables, and report export pipelines
• Support agent or tool facing workflows where platform capabilities are exposed to downstream consumers via APIs
• Lead CI/CD for the application and support release cadence for front-end and back-end services

Cross-functional Collaboration

• Partner with data scientists to understand model parameters, defaults, and validation rules
• Partner with data engineering on pipeline contracts, preflight checks, and data sync behavior
• Break work into incremental deliverables (API first, then UI) and ship against product epics

• 6-8 years of building production internal or enterprise web applications
• Strong front-end skills:
  React, Type Script, modern component patterns (e.g. Next.js App Router, utility-first CSS, accessible component libraries)
• Demonstrated back-end/API experience:
  Python and an async web framework (i.e. FastAPI or equivalent)
• Solid understanding of REST APIs, JSON contracts, and client/server error handling
• Experience integrating UIs with backend job systems or long-running workflows (polling, status transitions, callbacks)
• Comfort reading SQL-shaped data models and collaborating on relational-database-backed APIs
• Ability to own features vertically (API + UI + release)
• Clear written and oral communication; experience working in Agile with data and engineering partners

• Experience with cloud data platforms: job APIs, SQL warehouses, catalog-backed dimension and report tables (i.e. AWS, Google Cloud, etc.)
• Familiarity with…