• Build, deploy, and maintain scalable, secure, and high-performing backend services in a microservices/distributed architecture • Define internal and customer-facing APIs that serve as the building blocks for CDP • Author technical design documents (TDDs), providing technical leadership and driving clarity across complex projects • Lead end-to-end delivery of projects through implementation, deployment, and monitoring • Improve and maintain operational excellence standards across the team, proactively addressing technical debt and driving improvements in reliability and observability • Participate in code reviews and on-call rotation, lead incident response, and foster a team-wide environment that welcomes constructive feedback to maintain high code quality standards

• Handle requests and incidents related to the Software Support and Maintenance team; • Develop and maintain robust, scalable web applications using Java 8+ and Quarkus; • Manage dependencies and builds using Maven; • Monitor and maintain CI/CD pipelines with Jenkins; • Contribute to frontend development using TypeScript with Ionic 3 and Angular (versions 5 through 14); • Collaborate with cross-functional teams to integrate front-end and back-end solutions; • Optimize code and resolve performance issues to ensure application efficiency; • Implement and manage version control using Git; • Use GitHub Copilot daily as a development aid to improve productivity, code quality, and best practices; • Opportunity to contribute to mobile application development using Ionic 3 and to work with PL/SQL scripts for specific integrations; knowledge of PrimeFaces.

• Design, architect, and build high-throughput, low-latency backend systems for real-time location processing, geofencing, and location intelligence at scale (billions of events/day) • Take technical ownership of critical subsystems from inception to production, driving architectural decisions, managing dependencies, and coordinating across multiple teams • Lead the design and development of geospatial libraries, location algorithms, and platform services that other teams build on—establishing standards and best practices for location data processing across the organization • Architect distributed systems using Java and Go, leveraging Kafka and NATS for event streaming, real-time data pipelines, and inter-service communication • Drive technical design specifications, translate architectural decisions into actionable engineering plans, and mentor engineers on distributed systems patterns and location platform architecture • Identify and address technical debt, scalability bottlenecks, and engineering process deficiencies—proactively improving system reliability, observability, and operational excellence • Collaborate across teams (mobile, firmware, data science, product) to define APIs, refine technical requirements, and ensure alignment with long-term platform goals • Evaluate and adopt new technologies and best practices for geospatial computing, distributed systems, and real-time data processing • Participate in on-call rotations, lead incident response for location platform systems, and continuously improve system resilience • Provide technical leadership and mentorship across teams, conducting thorough code reviews, sharing knowledge, and raising the engineering bar

• Work closely with colleagues to build the right solutions to the problems our customers face. • Make valuable changes in our codebase in your first week, and see them live in production minutes after merging them. • Shape how workflow execution happens at the very heart of our system. • Write and review high quality, well tested code. • Identify areas for improvement, both in our codebase and in how we work. • Own the problems you’re solving - and the software you write to solve them - all the way to production and beyond. • Use your knowledge to mentor other engineers in our team, providing support and guidance.