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IT Full Stack Engineer Lead 031

L'Oréal

IT Full Stack Engineer Lead 031

L'Oréal

·

On-site

·

Full-time

·

5d ago

Back

Permanent

Mexico City

Estado de México

Tech

Full

  • Time

02-Feb-2026

For more than a century, L’Oréal has devoted its energy, innovation, and
scientific excellence solely to one business: Beauty. Our goal is to offer
every person around the world the best of beauty in terms of quality, efficacy, safety, sincerity and responsibility to
satisfy all beauty needs and desires in their infinite diversity.

At L'Oréal, our IT teams design and build solutions to ensure high
performance for all our business sectors by imagining new ways of doing things,
from designing websites to building algorithms and predicting new trends.
They can be found leading teams towards a more connected and digitalized future
in IT retail, e-commerce, CRM, data, AI, cybersecurity, Cloud and E-Marketing.
You never stop learning at L'Oréal IT because things change at the speed of
light! Come join our dynamic team!

About the role:

As a Lead Web Full Stack Engineer in the AI & Tech:

Accelerator team, you will be a key player in bringing our AI-driven vision to
life. You will be responsible for designing, developing, and deploying robust,
scalable, and user-friendly web applications that serve as the interface for
our cutting-edge AI, Machine Learning, and Generative AI solutions. Your work
will directly support transversal use cases that drive the tech transformation
of L'Oréal.

Key Responsibilities:

You
will lead the technical charge in bridging the gap between complex AI models
and intuitive user experiences.

  • Build
    High-Impact Interfaces: Develop
    and maintain high-quality, responsive, and user-friendly front-end interfaces
    using modern frameworks (ReactJS) to make our AI-powered applications
    accessible and engaging.

  • Architect
    Robust Backends: Build and manage scalable
    backend services and APIs (Python/FastAPI) that power our web applications and
    support high-performance AI model serving.

  • Integrate
    AI Solutions: Collaborate closely with
    AI Engineers and Data Scientists to seamlessly embed machine learning models
    and complex AI-driven features into production-ready applications.

  • Data
    Management: Design and implement
    effective data models, ensuring efficient storage, retrieval, and management
    across various database systems (SQL & NoSQL).

  • Own the
    Lifecycle (DevOps): Participate in the entire
    application lifecycle-from concept and design to deployment-embracing DevOps
    principles for CI/CD and cloud infrastructure management on GCP.

What
we are looking for:
We are seeking a curious, collaborative innovator
who thrives in a dynamic environment. You should value autonomy, team spirit,
and the desire to make a tangible business impact.

Education & Experience:

  • Background in Computer Science, Web Development, or a related
    engineering field.

  • Proven experience in full-stack development (4+ years)

Technical Expertise:

  • Front-End Mastery: Strong proficiency in JavaScript/TypeScript
    with extensive experience in modern frameworks like ReactJS. Familiarity with
    build tools like ViteJS and UI libraries such as ShadCN is a strong plus.

  • Back-End Solidity: Deep experience with Python and modern web
    frameworks like FastAPI or Django.

  • Database Knowledge: Proficiency with both SQL and NoSQL database
    technologies (e.g., PostgreSQL, MongoDB, Firestore).

  • DevOps & Cloud: Solid understanding of CI/CD principles and
    tools (Git, Docker, Jenkins). Experience deploying applications on cloud
    platforms, particularly Google Cloud Platform (GCP).

  • API Design: A strong ability to design, build, and maintain secure
    and efficient RESTful APIs.

Soft Skills & Mindset:

  • Entrepreneurial Spirit: You approach problems with curiosity and a
    strategic mindset, ready to build solutions from the ground up.

  • Adaptability: You may not be an expert in every single tool listed
    above, but you possess the drive to learn new technologies quickly.

  • Collaboration: Excellent communication skills and a passion for
    working in a mixed environment with AI specialists, UX/UI designers, and
    business stakeholders.

Don’t meet every single requirement? At L'Oréal, we are dedicated to building a diverse, inclusive, and innovative workplace. If you’re excited about this role but your past experience doesn’t align perfectly with the qualifications listed in the job description, we encourage you to apply anyways! You may just be the right candidate for this or other roles!

We are an Equal Opportunity Employer and take pride in a diverse
environment. We would love to find out more about you as a
candidate and do not discriminate in recruitment, hiring, training, promotion,
or other employment practices for reasons of race, color, religion, gender,
sexual orientation, national origin, age, marital or veteran status, medical
condition or disability, or any other legally protected status.

Apply now

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About L'Oréal

L'Oréal

L'Oréal

Public

L'Oréal is a French multinational cosmetics and beauty company that develops, manufactures, and markets skincare, haircare, makeup, and fragrance products. The company operates through multiple divisions including consumer products, luxury brands, professional products, and active cosmetics.

10,001+

Employees

Clichy

Headquarters

Reviews

3.8

10 reviews

Work Life Balance

3.2

Compensation

4.1

Culture

3.4

Career

4.2

Management

2.8

68%

Recommend to a Friend

Pros

Career growth and progression opportunities

Good compensation and benefits

Strong company reputation and brand

Cons

Management and leadership issues

Work-life balance challenges

Office politics and workplace culture issues

Salary Ranges

0 data points

Intern

Intern · Data Analyst

0 reports

$72,061

total / year

Base

-

Stock

-

Bonus

-

$61,252

$82,870

Interview Experience

35 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Offer Rate

41%

Experience

Positive 64%

Neutral 22%

Negative 14%

Interview Process

1

Phone Screen

2

Technical Interview

3

Hiring Manager

4

Team Fit

Common Questions

Technical skills

Past experience

Team collaboration

Problem solving