About
At , we believe in a world where geography has no boundaries, and logistics flow seamlessly. Our mission is to redefine the way businesses interact with maps, navigation, optimization, and location-based services. Our platform isn't just about reaching destinations it's about unlocking potential.
Born from the minds of industry experts and innovators, stands at the intersection of technology and practicality. We've crafted an AI-powered mapping and optimization platform that addresses the unique challenges enterprises face across the globe. Beyond maps, we provide powerful optimization and scheduling algorithms that enable smarter route optimization, resource allocation, and operational efficiency. With our suite of Map APIs, SDKs, optimization tools, and mapping solutions, we empower businesses to scale with precision and speed.
About the Team
Our team is at the forefront of developing sophisticated backend systems for real-time geospatial applications. We specialize in building robust and scalable infrastructure to support high-performance map rendering, route optimization, and location-based services. Our projects leverage cutting-edge technologies in Python, Golang, C++, Rust, Node.js and Shell, orchestrated through Docker and Kubernetes. We are also experienced in applying AI and machine learning techniques in combination with geospatial systems, and have a deep understanding of both open-source and partner technologies in mapping and optimization.
The Role
We are seeking a Senior Backend Engineer to lead the development and operational management of our Optimization engine services. In this role, you will be responsible for architecting, implementing, and maintaining backend systems that power large-scale optimization solutions.
Your expertise in backend technologies, geospatial data processing, large-scale computation, and distributed systems will be critical to ensuring the robustness and scalability of our services. A strong understanding of optimization algorithms and their practical application is essential, as your work will directly drive the efficiency and effectiveness of our optimization offerings.
Key Responsibilities:
- Design and implement high-performance backend services in Golang and Rust, ensuring scalability and reliability for large-scale optimization workloads.
- Architect and maintain APIs and services that power optimization workflows, including route optimization, scheduling, and resource allocation.
- Build and optimize distributed systems for large-scale computation, ensuring efficient use of computing resources across clusters.
- Develop and maintain data processing pipelines to handle large geospatial and operational datasets, with a focus on efficient transformations and workflow optimization.
- Collaborate with data scientists and algorithm engineers to productionize optimization algorithms (e.g., vehicle routing, scheduling, assignment, and network flow models).
- Manage and optimize Docker containers and Kubernetes clusters to ensure seamless deployment, scaling, and resource scheduling.
- Database management and optimization for SQL and NoSQL databases (e.g., PostgreSQL/PostGIS, MySQL, Redis, Elasticsearch), supporting high-throughput and low-latency operations.
- Ensure high availability and reliability of optimization services, including real-time request handling, data persistence, and fault-tolerant distributed execution.
- Contribute to performance benchmarking and profiling to continuously improve computation efficiency and scalability of optimization services.
Required Skills and Qualifications:
- 7+ years of experience in backend development, with strong proficiency in Golang and/or Rust experience with Python or C++ is a plus.
- Bachelor's or higher degree in Computer Science, Software Engineering, Applied Mathematics, or related field.
- Proven experience in designing and implementing large-scale distributed systems, with focus on performance and scalability.
- Strong background in optimization algorithms (e.g., vehicle routing, scheduling, resource allocation, network flow) and their application in real-world systems.
- Hands-on experience with route planning engines, including direction calculation and matrix calculation, with practical experience in performance tuning and scaling.
- Hands-on experience with containerized environments (Docker) and Kubernetes for deployment, scaling, and resource management.
- Solid understanding of big data processing frameworks (e.g., Spark, Flink) and distributed computing principles.
- Experience in building and optimizing data pipelines for large and complex datasets, particularly geospatial and operational data.
- Strong knowledge of databases (PostgreSQL/PostGIS, Redis, Elasticsearch, MySQL) including design, optimization, and maintenance.
- Familiarity with cloud platforms (GCP or AWS) and managed services for storage, compute, and orchestration.
- Proven track record of delivering highly available and performant backend services in production environments.
- Excellent problem-solving, analytical, and communication skills ability to work effectively in a collaborative, cross-functional, and multicultural team environment.
Bonus Points for:
- Extensive experience with OpenStreetMap (OSM), TomTom, or INRIX.
- Familiarity with other geospatial tools and technologies.
- Contributions to open-source projects related to geospatial data or backend services.
- Advanced degree in Geoinformatics or a related field.
