Full-Stack Engineer

Mwdn

Madrid, Spain

7 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience required

7 years minimum

Working hours

Regular working hours

Languages

English

Job source

www.jobleads.com

Tech stack

A/B Testing Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Browser Compatibility Cloud Computing Software Quality Code Review Relational Databases Design of User Interfaces Ruby on Rails Azure Machine Learning

+10 more

Responsive Web Design Datadog Data Logging ReactJS Large Language Models Technical Debt Backend Data Analytics Front End Software Development Restful APIs

Job description

Own features end-to-end: scope the technical approach, build across frontend and backend, and ship to production
Design and maintain APIs, data models, and backend services that are reliable and performant
Build polished, accessible frontend experiences with attention to UI/UX details
Build and integrate AI-powered features - from personalized learningexperiences to intelligent compliance tooling - from prototype to production
Use AI-assisted development tools (e.g., Claude Code, Copilot) to accelerate your work and help the team adopt effective AI tooling
Instrument analytics and use data to guide product and engineering decisions
Collaborate closely with product, design, and other engineers to deliver on key initiatives
Identify and resolve performance bottlenecks, technical debt, and reliability issues
Mentor other engineers through code review, pairing, and architectural guidance

Requirements

7+ years of experience building customer-facing web applications using Ruby on Rails
Strong experience in React
Experience designing and building RESTful APIs and working with relational databases
Comfort owning projects from concept through production, including making architectural trade-offs
Track record of raising the bar for the team - through mentorship, code quality, or process improvements
Experience with CI/CD pipelines, infrastructure-as-code, or cloud platforms (AWS preferred)
Responsive design, accessibility standards, and cross-browser compatibility experience
Experience with observability tooling (logging, monitoring, alerting)
Strong written and verbal communication skills in English
Willingness to work US timezone hours for team collaboration, * Experience integrating LLMs or AI/ML services into production applications
Experience with A/B testing, personalization, or data-driven content customization
Background in a startup or high-growth environment
Familiarity with compliance, security awareness, or ed-tech domains.