• 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.

• Development and enhancement of a WinForms-based pharmacy application. • Collaborate in Scrum teams, contributing to all phases of the agile lifecycle. • Implement modern architectural patterns (e.g., Mediator, Message Bus) for effective system integration and communication. • Participate/conduct code reviews and set quality benchmarks. • Facilitate knowledge transfer during the transition from external to internal ownership.

• Design and evolve robust, scalable Java APIs • Participate in architectural decisions (event-driven, integration, performance) • Work with cloud environments on AWS • Build and maintain decoupled, event-driven services • Collaborate with other engineers on design, code reviews, and continuous improvement • Contribute to observability and monitoring of production systems • Optimize performance and stability in high-demand environments

• Design, develop, and maintain interactive dashboards and reporting solutions • Integrate and extract data from multiple internal and external data sources • Automate manual workflows and optimize operational processes • Collaborate within Agile teams using Jira and Confluence • Integrate Jira and Confluence with other tools and APIs to streamline workflows • Contribute to CI/CD pipelines and ensure code quality and deployment best practices