Barcelona, Spain; Madrid, Spain; Remote, Spain
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Dé el siguiente paso en su carrera profesional ahora: desplácese hacia abajo para leer la descripción completa del puesto y envíe su solicitud.At EPAM NEORIS, we believe that transformation starts with people. Today, as part of EPAM, we have expanded our global reach and capabilities, while keeping what matters most: a culture where every person can grow, contribute, and take the lead. We are not just looking to fill positions.
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We aim to bring in talent that wants to improve, learn constantly, and make an impact on every project. We are a diverse, inclusive, and continuously evolving team. We promote ideas, not hierarchies. We invest in the real development of every individual.
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If you want to work in a place where your growth matters as much as the results, we are looking for you.
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Senior Full‐Stack Software Engineer
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Main Responsibilities
- Design, build, and operate modern web applications supporting scientific and AI workflows, including frontend user interfaces, backend services, and data integrations.
- Develop rich, high‐performance data visualization experiences such as dashboards, exploratory analytics, and interactive visual components to support scientific interpretation.
- Build and maintain secure and scalable RESTful and/or GraphQL backend services, integrating internal systems, databases, and external APIs.
- Work closely with data scientists and domain experts to integrate ML/AI components, model inference pipelines, and data processing workflows into user‐facing products.
- Apply software engineering best practices including automated testing, code reviews, CI/CD, documentation, containerization, and monitoring.
- Collaborate in cross‐functional, research‐driven environments to transform high‐level scientific and business requirements into robust, scalable, and user‐friendly solutions.
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Nice to Have
- Experience designing advanced scientific visualizations (multi‐dimensional data, temporal or spatial visualizations, imaging, omics) and conducting UX research with scientific stakeholders.
- Experience integrating applications with data platforms such as Databricks or Snowflake.
- Familiarity with ML/AI deployment patterns, including working with model endpoints (SageMaker, Vertex, MLflow), feature stores, or retrieval/search architectures.
- Polyglot programming experience (Go, Rust, Java) for performance‐critical components.
- Exposure to scientific datasets (omics, imaging, clinical, preclinical) and understanding of associated standards, governance, and privacy considerations. xohynlm
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Offered
- Permanent contract with a competitive salary
- Versátil working model and remote work options
- Personalized career plan and continuous training (certifications, English programs, etc.)
- Participation in stable projects with a high technical component
- Flexible schedule and work–life balance
- Social benefits adapted to your needs