Senior Fullstack Software Engineer

TL;DR

Senior Fullstack Software Engineer: Design, build, and operate modern web applications supporting scientific and AI workflows with an accent on frontend user interfaces, backend services, and data integrations. Focus on integrating ML/AI components, model inference pipelines, and data processing workflows into user‑facing products.

Location: Barcelona, Madrid, or Remote in Spain

Company

hirify.global is a company where every person can grow, contribute, and take the lead.

What you will do

• Design, build, and operate modern web applications supporting scientific and AI workflows.
• Develop high‑performance data visualization experiences such as dashboards and interactive visual components.
• Build and maintain secure and scalable RESTful and/or GraphQL backend services, integrating internal systems, databases, and external APIs.
• 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.

Requirements

• University degree in Computer Science, Engineering, Bioinformatics, or related fields (M.Sc. or PhD is a plus).
• 5+ years of professional experience building production‑grade web applications and backend services, with demonstrable full‑stack end‑to‑end delivery in data‑rich domains.
• Strong frontend development skills using modern JavaScript/TypeScript and Python‑based frameworks (e.g., Streamlit, Flask, React, Next.js, Vue).
• Hands‑on experience with data visualization frameworks such as D3.js, Plotly, Vega‑Lite, or ECharts.
• Strong backend engineering proficiency with Python, using frameworks such as FastAPI, Flask, or Django.
• Expert‑level SQL and data modeling for analytical and transactional workloads, with experience using relational databases (Postgres, MySQL) and in‑memory stores (Redis).

Nice to have

• Experience designing advanced scientific visualizations 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.

Culture & Benefits

• Permanent contract with a competitive salary.
• Flexible 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.