Senior Software Engineer — Spatial Analytics & Open Formats
carto · Remote - US or EU
Opis radnog mjesta
About the role
CARTO is a cloud-native spatial analysis platform used by companies such as IKEA, Coca-Cola, T-Mobile, Swiss Re and AXA. This is a remote-first, full-time role open to candidates based anywhere in the EU or USA, sitting across the Analytics Toolbox and Workflows surfaces. It is described as a vision-and-execution role: defining how spatial analytics is packaged, deployed across partner engines and plugged into the cloud-native geospatial stack, and owning the PR that proves it works.
Key responsibilities
- Shape the Analytics Toolbox framework, including how spatial analytics is packaged, versioned and pushed to partner engines, and how it works when the consumer is an LLM agent.
- Set the SQL strategy for partner engines (BigQuery, Snowflake, Redshift, Databricks, Postgres, Oracle) so that code is written once and runs everywhere while keeping warehouse-native performance.
- Define what spatial-first Iceberg looks like, following the earlier work on GeoParquet and RaQuet.
- Represent CARTO in the open: OGC working groups, the Cloud Native Geospatial community, FOSS4G, conferences, RFCs and standards.
- Help define the interface between the Toolbox and AI agents, and ship production code in a cloud-native, serverless environment (GCP or AWS).
Required profile
- A career spent in the cloud-native geospatial world, with strong opinions on the direction of tools such as DuckDB, GeoParquet, STAC, Arrow, Iceberg, point cloud formats, MobilityDB or similar.
- Deep knowledge of SQL at the engine level, including execution plans, partitioning, clustering, file pruning and pushdown.
- Experience shipping LLM-powered features and working with agentic patterns.
- Community presence: a FOSS4G or CNG talk, a maintained OSS project, a standards working group membership or a cited blog post.
- Low-ego technical leadership, giving direct feedback in PRs and making colleagues better.
Required skills
- SQL at the engine level (BigQuery, Snowflake, Redshift, Databricks, Postgres, Oracle)
- Cloud-native, serverless environments (GCP or AWS)
- TypeScript / Node.js is a plus, as it is the backend, but not the primary hiring signal
What we offer
- Compensation based on experience, plus an annual bonus of up to 10% based on company objectives
- Employee stock options and private medical insurance
- Flexible compensation, education stipend and remote work stipend
- English classes
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carto
Remote - US or EU