• Own and evolve the technical direction of the consumer platform, setting long-term architectural vision while making pragmatic, day-to-day technical decisions • Make high-leverage architectural decisions across a modern TypeScript ecosystem, balancing speed, scalability, product quality, and long-term maintainability • Serve as the technical “north star” for the pod through design reviews, code reviews, and deep technical guidance • Stay deeply hands-on in the codebase, contributing to complex features, debugging production issues, and driving system design work end-to-end • Partner closely with Product, Design, and Engineering leadership to shape roadmaps, challenge assumptions, and translate ambiguous problems into clear technical direction • Raise the bar for engineering quality across performance, reliability, testing strategy, observability, and developer experience • Actively mentor engineers by modeling strong engineering judgment • Define and operationalize AI-assisted engineering workflows that meaningfully increase team velocity (not just individual productivity), using tools like Cursor, Codex, Claude, and others • Participate in hiring and interviewing, helping to maintain a high technical bar of the organization • Collaborate across engineering teams to influence shared systems, infrastructure, and cross-cutting platform decisions

Role Description As a Fullstack Developer, you will play a key role in designing, developing, and evolving scalable, high-performance applications across modern cloud-based environments. We are looking for a strong engineer with solid experience in backend development using .NET and C#, combined with modern frontend development using React. Qualifications - 5–8+ years of professional software development experience building production-grade applications. - Strong experience in full stack / end-to-end development. - Solid expertise in C# and modern .NET development (.NET 6/7/8 preferred). - Strong frontend development experience with React. - Experience building and consuming RESTful APIs and microservices. - Good understanding of distributed systems and event-driven architectures. - Hands-on experience with messaging technologies such as Kafka, RabbitMQ, or Azure Service Bus is a plus. - Experience working with SQL databases, query optimization, and performance tuning. - Familiarity with cloud platforms such as Azure or AWS. - Experience with CI/CD pipelines and modern DevOps practices. - Exposure to AI-related technologies such as OpenAI, Claude, Copilot, LangChain, or prompt engineering is highly desirable. - Experience integrating AI capabilities into applications is a strong plus. - Strong understanding of software engineering best practices including Clean Code, testing strategies, and scalable architecture design. - Ability to work independently in fast-paced and collaborative environments. - Advanced English communication skills (written and verbal). Requirements - Design, develop, and maintain scalable backend services and APIs using C# and .NET. - Build and enhance modern frontend applications using React. - Develop end-to-end full stack solutions with focus on performance, scalability, and maintainability. - Collaborate with cross-functional teams to define technical solutions and deliver high-quality software. - Participate in architecture discussions, code reviews, and technical decision-making processes. - Optimize application and database performance through troubleshooting and tuning. - Integrate cloud-native and AI-powered capabilities into existing and new applications. - Work with modern development tools, CI/CD pipelines, and agile methodologies. - Contribute to modernization and continuous improvement initiatives across the engineering organization. - Ensure code quality, reliability, security, and scalability through engineering best practices. Benefits - Stock options 📈 - Remote work options 🏠 - Flexible working hours 🕜 - Benefits above the law

• The Analytics Toolbox framework. Shape how spatial analytics is packaged, versioned, and pushed down into partner engines — and what it looks like when the consumer is an LLM agent, not a UI. • Partner-engine SQL strategy. Every engine has its own dialect, optimizer, and idioms. You'll set the direction for how CARTO writes once and runs everywhere, without losing warehouse-native performance. • The Iceberg / open-format play. CARTO organized the 2021 meeting with BigQuery, Snowflake, Redshift, and Oracle that catalyzed GeoParquet, and authored RaQuet for raster in Parquet. Iceberg is next. You'll define what spatial-first Iceberg looks like — for CARTO and for the ecosystem. • Community and standards presence. This work happens in the open. OGC working groups, the Cloud Native Geospatial community, FOSS4G, conference talks, RFCs. You'll represent CARTO externally and help move the standards forward. • AI as a native execution surface. Agentic GIS is where we're going. The Toolbox isn't just a SQL library — it's the substrate AI agents call into. You'll help define that interface.

• Develop and Maintain Software Applications: Design, code, test, debug, and document software applications using .NET framework, Python, cloud and related technologies. • Collaborate with the team to define, design, and ship new features. • Ensure the performance, quality, and responsiveness of applications. • Work with project leaders, product owners, and developers to understand business requirements and translate them into technical solutions. • Provide ongoing maintenance, support, and enhancements in existing systems. • Offer support to end-users of the application, by troubleshooting and problem solving. • Stay up-to-date with new technology trends and best practices in .NET framework and Python development. • Continuously improve the codebase, fix bugs, and optimize performance. • Participate in code reviews to ensure code quality and shared knowledge. • Create and maintain comprehensive documentation for software solutions. • Develop and implement unit and functional tests to ensure code quality. • Assist in defining test scenarios and in testing the developed functionality.