Job Title: Front-End Web Developer
Language: Fluent English
Focus: New PV Facility Management Tool → Future contribution to ETAP products

Role Overview

Join our international team to develop the front-end of a new photovoltaic installation management platform. You will work with teams in France and the US to design, build, and optimize high‑quality Angular interfaces. Over time, you will also contribute to the evolution of ETAP’s product ecosystem for the energy sector.

Key Responsibilities

• Develop and maintain modern, responsive interfaces using Angular & TypeScript.
• Collaborate with backend, product, and US/French teams in an Agile environment.
• Integrate APIs, visualize technical/operational data, and ensure high performance.
• Contribute to the long‑term development of ETAP applications.

Required Skills

• Strong experience with Angular, TypeScript, HTML/CSS, React JavaScript .
• Strong experience with RxJS: mastery of Observables, Subjects, and advanced operators (map, switchMap, mergeMap, debounceTime, etc.)
• Unit testing: proficiency with Angular testing frameworks (Jest, Jasmine, Karma, TestBed) and best practices for test coverage.
• Familiarity with REST APIs and front-end best practices.
• Fluent English and comfortable working in a distributed international team.

Nice-to-Have

• Backend experience (Node.js, Python, .NET)
• Authentication & IDP: solid understanding of authentication flows (OAuth2, JWT, OpenID Connect) and integration with identity providers.
• Cloud & environments: experience with cloud platforms (Azure, AWS, GCP), environment variables, and configuration management for scalable deployments.
• Advanced interest and hands-on use of AI technologies, including:
• Using AI tools (coding assistants, automation scripts, LLMs) to improve productivity and code quality.
• Ability to integrate or adapt AI-based features into web applications (e.g., data processing, intelligent interfaces, assistants).
• Interest or experience in configuring, fine-tuning, or orchestrating AI systems (prompt engineering, small model training, vector search, pipelines…).
• Understanding of modern AI architectures and practical deployment considerations.
• Knowledge of energy, PV systems, or industrial software.