Spain onlyEverything happens somewhere - which is why spatial analytics is fundamental to companies trying to understand the “where” and the “why” of their business. CARTO is the world's leading cloud-native spatial analysis platform, built to break down the silos of traditional GIS. Trusted by data scientists, analysts, and developers from global brands such as IKEA, Coca-Cola, T-Mobile, Swiss Re, and AXA, CARTO enables organizations to run scalable spatial analysis directly on their cloud data warehouse. Providing insights for critical use cases like site selection, catastrophe modeling, network planning, and supply chain optimization.
Built by a diverse team of over 150 people across the US, APAC, and Europe, CARTO's cloud-native Agentic GIS platform provides a modern, future-proof alternative to legacy GIS. Offering a powerful suite of tools for visualization, analytics, and application development, our platform is redefining how companies work with location data. CARTO (backed by Insight Partners, Accel Partners, Salesforce Ventures, and Earlybird Ventures, among others) is fundamentally changing the way location data is analyzed, making it an integrated and accessible part of modern business intelligence.
What are we looking for
What are we looking for
We're looking for a senior backend engineer who thrives on hard infrastructure problems and has the experience to own them independently — from design through production.
You'll be joining the APIs team, a small group of engineers responsible for the core platform that powers everything CARTO's customers build. The team works directly on top of the major cloud data warehouses — BigQuery, Snowflake, Redshift, Databricks, and Oracle — building the high-performance, low-latency layer that makes geospatial analysis possible at scale without ever moving data out of our customers' own systems.
This is not a role where you'll be handed a spec and asked to implement it. We're looking for someone who asks hard questions early, spots architectural problems before they become production incidents, and has a point of view on how things should be built. You'll work closely with data warehouse engineering teams at Google, Snowflake, and Databricks, and contribute to open-source geospatial communities that the wider industry depends on.
If you're energized by working at scale — billions of API calls, terabytes of geospatial data, customers who depend on the platform being fast and reliable — and you want to do it alongside a team that takes engineering craft seriously, we'd love to hear from you.
Location
This is a remote-first role, open to candidates based anywhere in Spain. We have offices in Madrid and Seville if you prefer to work in person or want a place to collaborate occasionally, but there's no expectation to use them.
You will
- Own the design and implementation of high-performance API endpoints that serve billions of requests per month, from initial architecture decisions through production monitoring and iteration.
- Push the boundaries of what's possible on top of BigQuery, Snowflake, Redshift, Databricks, and Oracle — you'll develop a deep understanding of their internals, query planners, and limits, and have direct access to the engineering teams behind them.
- Tackle hard distributed computing problems: query performance at massive scale, multi-tenant data isolation, low-latency geospatial operations on datasets measured in terabytes.
- Shape the technical direction of the APIs team — participating in architecture decisions, setting standards for code quality and testing, and raising the bar through code reviews and mentorship.
- Work at the intersection of open-source geospatial communities (PostGIS, GeoParquet, GDAL, Deck.gl) and the modern cloud data warehouse ecosystem, contributing to and learning from engineers at Uber, Google, Databricks, and Snowflake.
- Integrate AI tools pragmatically throughout your development workflow — not as a checkbox, but as a genuine productivity multiplier in how you design, build, and test.
You offer
- 5+ years of backend engineering experience, with a track record of owning complex systems end-to-end — not just implementing specs but shaping how they're designed and evolve over time.
- Deep SQL fluency. You write and optimize non-trivial queries directly, understand execution plans, and know when the database is your best tool and when it isn't.
- Experience building and operating high-throughput APIs in production — you've thought hard about latency, reliability, and scaling bottlenecks, and you have scars to prove it.
- Comfort in a serverless and cloud-native environment, with practical experience in Docker, CI/CD pipelines, and cloud infrastructure (GCP or AWS).
- Strong opinions about software quality — you write tests not because you're told to but because you've seen what happens when you don't. You document what matters and keep it current.
- A collaborative, low-ego approach to engineering. You give direct feedback in code reviews, ask good questions when you don't know something, and make the people around you better.
Nice to have
- Experience with TypeScript and Node.js in a production backend context.
- Familiarity with geospatial technologies such as PostGIS, H3, or S2.
- Hands-on experience with one or more of our primary data warehouses: BigQuery, Snowflake, Redshift, Databricks, or Oracle.
- Previous work with CI/CD pipelines, Infrastructure as Code, or production monitoring and observability.
- Experience with Google Cloud Platform or AWS at an infrastructure level, beyond just deploying applications.
We offer
- Compensation based on experience, discussed transparently during the process, plus an annual bonus of up to 10% based on company objectives
- Contribute to a platform used by top companies around the world. Your work will have a direct impact on our users and clients
- Access to our Employee Stock Options Plan
- Private Medical Insurance
- Flexible compensation
- Education stipend
- Remote work stipend
- English classes
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