Senior Backend Engineer, Route Optimization

**About**NextBillion.ai**:
At NextBillion.ai, 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, NextBillion.ai 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**:
**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.

**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**.
- 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.