Full Stack Engineer
Darkroom
Municipality of Madrid, Spain
17 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
SeniorJob location
Municipality of Madrid, Spain
Tech stack
API
Artificial Intelligence
Airflow
Cloud Computing
Code Review
Databases
Data Stores
Database Schema
Software Debugging
DevOps
Python
PostgreSQL
Node.js
Open Source Technology
Software Engineering
Data Streaming
TypeScript
Google Cloud Platform
React
Large Language Models
Prompt Engineering
Containerization
Kubernetes
Production Code
Performance Monitor
GraphQL
Front End Software Development
REST
Terraform
Data Pipelines
Docker
Job description
- Product Ownership You'll ship production code daily and help steer key product and technical decisions.
- Shape the Engineering Culture You'll influence how we work-tools, processes, standards, and hiring.
- Work with Challenger Consumer Brands Talk directly to customers (CEOs, CMOs, VP's) of fast-growing consumer brands-some doing $80M-$500M in revenue.
Don't join Matter if...
- Work-life balance is a high priority for you
- You're uncomfortable changing your priorities every 24-48 hours
- You're not confident in your abilities to manage end-to-end solutions
- You require a many devops resources to be successful
About the Role
You'll sit squarely at the intersection of back-end and front-end, ensuring seamless integration between APIs, databases, UIs, and ML services. You'll design, build, and scale features end-to-end, especially our AI/ML-powered experiences, while mentoring peers and driving architecture decisions.
Core Tech & Tools
- Languages & Frameworks: Python, Node.js, React (TypeScript)
- Datastore: PostgreSQL
- Cloud & Infra: Google Cloud Platform, Airflow, Terraform, Docker, Kubernetes
- ML/AI: LLMs, RAG, prompt engineering
- Other: MCP, * Architect and implement full-stack features, from database schema to React components, optimized for scale and reliability.
- Build and maintain RESTful/GraphQL APIs, data pipelines, and distributed services in GCP.
- Integrate, prompt, and debug LLMs and generative AI tools; own RAG or fine-tuning pipelines.
- Ensure front-end and back-end systems interoperate flawlessly, minimize friction, optimize data flow, and enforce contracts.
- Collaborate with product, research, design, and infra teams to define requirements, iterate rapidly, and ship production-grade code.
- Monitor performance, reliability, and security.
- Mentor junior engineers through code reviews, architecture reviews, and shared best practices.
Requirements
Do you have experience in UX?, * 5+ years of professional software engineering experience with end-to-end ownership in a full-stack role.
- Deep expertise in Python, Node.js, React/TypeScript, and PostgreSQL.
- Able to be hands-on with GCP, containerization (Docker/K8s), and building/supporting high-traffic systems.
- Proven experience integrating AI/ML models (LLMs, NLP, RAG) into production apps.
- Familiarity or strong interest in working with MCP servers.
- Exceptional problem-solving skills and a product mindset: you think deeply about UX, performance, and business impact.
- You sweat both technical details and end-user experience.
Nice to Haves
- Experience with multi-step or agentic AI workflows.
- Background in AI infrastructure or tooling companies.
- Contributions to open-source AI/ML projects.
Benefits & conditions
- Competitive salary and equity package (roles, responsibilities, and comp grow as we do)
- Top-tier health, vision, dental insurance (US)
- Regular team off-sites
- Regular hack weeks
About the company
We're empowering small teams with technology that makes it easier to market and grow businesses. Our current focus it to help consumer brands shift from "workflow automation" to "agent management" within their marketing operations. Matter is the AI coordination layer - providing shared AI memory, centralized agent control, and model differentiation. We founded the company based on a decade of experience providing marketing services to 300+ consumer brands, leveraging that expertise to develop interfaces that streamline user experience in the era of AI.