• Work with a world-class team of engineers, designers, scientists, and project managers. • Manage cloud infrastructure, write Infrastructure as Code, configure CI/CD pipelines, and troubleshoot production issues. • Design and develop cross-functional, multi-platform application systems to ingest, process, analyze, and serve large amounts of data in the cloud, often in real-time. • Liaise with data scientists, front-end engineers, project managers, and designers to find novel and creative technical solutions. • Communicate with users, colleagues, leading scientists, and decision-makers to collect requirements and define product strategy. • Build and maintain CI/CD pipelines and ensure the platform is resilient, observable, and maintainable. • Ensure software quality, robustness, and compliance with standards by reviewing code, documenting, and creating automated tests.

• Design and implement scalable, high-availability backend services using Java 17 and Java 21 (with limited legacy Java 11 support). • Define and enforce best practices in software architecture, design patterns, and clean code principles. • Develop RESTful APIs and microservices-based solutions. • Write efficient SQL queries, manage indexing strategies, and optimize performance. • Integrate and manage Elasticsearch for advanced search and analytics use cases. • Manage builds and dependency lifecycles using Maven and Gradle. • Implement and maintain CI/CD pipelines using GitLab and GitLab CI. • Ensure code quality through automated testing, static code analysis, and code reviews. • Promote trunk-based development and DevOps best practices. • Containerize applications using Docker. • Deploy and manage services in Kubernetes clusters. • Work with Rancher for Kubernetes cluster management. • Contribute to architectural decisions for migration from on-premises infrastructure to Azure Cloud. • Design cloud-ready and cloud-native architectures. • Collaborate effectively with Angular frontend developers. • Write unit, integration, and end-to-end tests. • Drive continuous improvement and engineering excellence.

• Achieve an expert level understanding of our custom software system features, the design intent, integrations with other business platforms, and how the applications are utilized to support business processes • Utilize functional requirements to create technical specifications and lead development projects, architect custom applications • Contribute to the creation, migration, and maintenance of complex data models • Develop creative, efficient, and optimized data solutions • Optimize performance with large, complex data sets that continue to expand; develop methods for monitoring capacity utilization • Manage cloud architecture and make recommendations for upgrades and enhancements based on project and business demands • Maintain and debug live software systems • Continuous learning, proactive knowledge sharing, and mentorship of teammates • Complete other responsibilities as assigned

• 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.