4 publicaciones de empleo destacadas de data scientist en loreto cdmx (¡Están contratando!)

Senior Full Stack Engineer | Luma
Dotmatics —Ciudad de México, CDMX
- Microsoft Excel
- Azure
- Informática
AI Presales
SDG Group —Ciudad de México, CDMX
- Trabajo híbrido
- Español
- Azure
- Doctorado
Postulación rápida
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CIAL D&B Services Inc —Ciudad de México, CDMX
- Tiempo completo
- Trabajo híbrido
- Administración de personal
- Inglés
- Experiencia en bases de datos
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Senior Data Scientist, DTC
Levi Strauss & Co. —Centro (Área 1), CDMX
- Tiempo completo
- Doctorado
- Informática
- Maestría
Postulación rápida
4d

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Senior Full Stack Engineer | Luma

Dotmatics -
Ciudad de México, CDMX

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Información del empleo

Cualificaciones

Microsoft Excel
Azure
Node.js
Informática
Ingeniería de software
React
Kubernetes
Inglés
Google Cloud Platform
Experiencia en bases de datos
Diseño de base de datos
Docker
JavaScript
PostgreSQL
Capacitación
Desarrollo de software
Kafka
SaaS
Programación en parejas

Descripción completa del empleo

Our Why At Dotmatics

At Dotmatics, a Siemens company, we believe science, data, and decision-making must be deeply intertwined for innovation to thrive. Our Portfolio includes Luma, LumaLab Connect, ELN Platform, Graphpad Prism, Geneious, SnapGene, Protein Metrics, OMIQ, FCS Express, LabArchives, NQuery, EasyPanel, SoftGenetics and Virscidian.

We have a vision for a new Lab of the Future that will change the future of scientific research.

We have created the world’s most comprehensive digital science platform – best-of-breed software applications already used by more than 2 million scientists, together in a single ecosystem united by a powerful, flexible enterprise data platform. This is not flat data buried away in digital graveyards. This is dynamic, multi-dimensional decision-making.

Scientific enterprises need a new level of effectiveness to achieve tomorrow’s breakthroughs. Illness will not wait. The biosphere will not wait. We are tireless in our vision, because the time for innovation is now.

Shaping the Future of Science At Dotmatics

Our global team of more than 800 colleagues are dedicated to supporting our customers in over 180 countries. Together, with our scientific community of users, we accelerate scientific innovation in order to make the world a healthier, cleaner, and safer place to live.

You’ll join a collaborative, global team pushing the boundaries of scientific innovation. Your ideas and efforts will have a tangible impact, accelerating scientific progress and discovery. We offer a dynamic, remote-friendly environment that fosters high integrity and collaboration, empowering you to excel. Dotmatics is a company built by scientists, for scientists. Combined, we are now the world’s largest cloud-based scientific research R&D platform. We need your help to keep growing and pioneering the future.

We are Science Driven. We are Customer Centric. We are Better Together.

Dotmatics is seeking a Senior Full Stack Engineer to join our team. We are building the most powerful R&D AI-Powered platform in the world. Luma is an AI-Native Multimodal Research Platform for Scientific Intelligence - it fits the way our customers "do science," letting them streamline research with adaptive R&D workflows driven by AI and seamless data integration.

As a Senior Full Stack Engineer, you'll build scalable features across a distributed, event-driven system and help maintain the technical health of our codebase. You should be a hands-on expert across the Node.js/React ecosystem, comfortable designing asynchronous, microservice-based architectures, with a genuine passion for scientific innovation. We value engineers who are curious about AI and motivated to find new ways to apply it in software development.

This is no ordinary engineering role, this is a product with real-world meaning, one that helps define how scientists work, helping bring medicine to market quicker and find cures for diseases faster. This is LUMA.

In this role you will:

Lead development of complex, high-impact features across a microservices architecture, owning both backend services and the frontend experiences they power
Design, build, and maintain serverless and event-driven data pipelines — including streaming and message-based workflows — capable of handling high-volume scientific data
Build asynchronous, non-blocking services and APIs that scale reliably under load
Write clean, maintainable, well-tested code; proactively identify technical debt and advocate for architectural improvements
Partner closely with other engineers to build intuitive user interfaces that simplify complex scientific research
Provide technical guidance through thoughtful code reviews and pair programming, fostering a culture of continuous learning
Support the reliability of our services by implementing observability and participating in deployment and monitoring of your code in production

We are looking for candidates with:

Strong fluency with English - Written & Spoken
8+ years of engineering experience, preferably in a SaaS environment, ideally with a degree in Computer Science, Software Engineering, or equivalent
You're curious and inquisitive - someone who questions the why and the how.

The key skills:

Strong commercial experience building backend services with Node.js and modern frontend applications with React
Solid experience designing, building, and consuming RESTful APIs
Strong proficiency working with PostgreSQL and relational database design
Experience designing and working within microservices and event-driven architectures, preferably using Kafka
Strong understanding of asynchronous programming patterns and distributed systems
Hands-on experience with AWS services in production environments
Experience using Docker and Kubernetes for containerisation and orchestration
A strong advocate for automated testing (unit, integration, E2E) and experience with CI/CD tools such as GitHub Actions, GitLab CI, or AWS CodePipeline

You may also have experience in:

Building and scaling complex data ingestion or processing workflows
Building messaging bots or other automated, event-triggered tooling
Terraform or similar infrastructure-as-code technologies
Exposure to AWS/GCP/Azure, or designing systems that run across multiple cloud providers
Leading small project teams or acting as a "feature lead," including mentoring engineers and running code reviews
Background in Life Sciences or R&D data management

Research shows us the confidence gap and imposter syndrome can get in the way of meeting outstanding candidates, so please don’t hesitate to apply — we’d love to hear from you.

By submitting your application, you agree that Dotmatics may collect your personal data for recruiting, global organization planning, and related purposes. Dotmatics Privacy Notice explains what personal information we may process, where we may process your personal information, our purposes for processing your personal information, and the rights you can exercise over Dotmatics use of your personal information.

Dotmatics is an equal opportunity employer. We are a welcoming place for everyone, and we do our best to make sure all people feel supported and connected at work.

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