Operations Research Engineer

About Pelico

Pelico is an innovative French scale-up on a mission to revolutionize manufacturing intelligence through resource optimization . We have developed a platform that enables factories to be more agile, efficient, and resilient, minimizing disruptions and ensuring continuous productivity.

At the forefront of supply chain disruption management , we empower factories with unmatched agility and resilience. Our cutting-edge SaaS Supply Chain Operations platform enables teams to swiftly navigate disruptions, ensuring maximum efficiency.

Since 2019, we’ve transformed operations for industry leaders in aerospace, industrial equipment, and luxury watchmaking , driving impact in 15+ countries . Trusted by Airbus, Safran, Cartier, Daikin, and Eaton , we are redefining the future of manufacturing.

About our Team

With a dynamic team of over 120 professionals across the US and France, Pelico is a melting pot of top-tier talent from Tech, Data Science, and Manufacturing domains.

Our collaborative environment fosters innovation and excellence, driving us to solve complex challenges and shape the future of manufacturing.

Our Core Values :

• Empowerment
• Ownership
• Resilience
• Outcome Orientation
• Playfulness

Your Role's mission:

1. Build Scalable & Reliable Data Model

• Evolve our data model to support generic client data
• Optimize SQL queries for different services
• Design and implement scalable, maintainable end-to-end backend features (specification, development, testing, documentation, support)
• Ensure clean code, automated testing, and CI/CD best practices
• Optimize APIs, data models, and microservices for performance

2. Collaborate Cross-Functionally

• Partner with Product Managers to align business goals and technical feasibility
• Facilitate technical discussions and drive knowledge-sharing across teams

3. Improve our Planning Capabilities

• Build planning and scheduling algorithms for different use-cases

4. Mentor & Lead Engineering Teams (Seniors)

• Act as a mentor and technical reference for engineers
• Set high standards for code quality, documentation, and development practices

5. Drive Team Growth & Talent Development (Seniors)

• Take part in recruiting top talent and leading technical interviews
• Contribute to onboarding and continuous learning programs
• Foster a collaborative, inclusive, and high-performing engineering culture

Your Impact: You will directly impact our capacity to scale our product to different customers and use-cases (different verticals, countries, etc.) as data lies at the core of Pelico's value proposition.

Location : You will be based in Paris, with English as your working language. We offer a hybrid work arrangement.

Preferred Qualifications & Skills

Pelico promotes inclusion and non-discrimination, and acts daily in favor of social mix, gender equality, senior citizens & disability

What We’re Looking For

• Good SQL and Python skills
• Excellent software development skills and the ability to write performant code that can be as modular as possible
• Excellent communication skills (English and French)
• Ability to work independently inside a team

What we offer:

Our culture thrives on trust and empowerment complemented by benefits that truly support you like :

• Work on a highly impactful product that delivers exceptional value and resonates strongly with users.!
• Office locations : In the heart of Paris (75002) and Miami, USA.
• Stock Options: Available for every Pelican.
• Remote Flexibility: Enjoy the freedom to work from anywhere.
• Premium Health Coverage : Up to 70% covered by Pelico (Alan Healthcare).
• Meal Allowance : €10/day worked, covered at 50% (via Swile card).
• Transportation Support: 50% public transportation coverage or an equivalent sustainable mobility package.
• Collaborative Environment: We foster a vibrant, growth-focused workplace where professional development and team connections thrive.

Your interview experience :

1. HR screening Interview : 30-45 mins
2. Hiring Manager Interview : 1h
3. On-site case study : 1h (or online for remote candidates)
4. fit Interview : 45 mins