Senior Software Engineer Python/GIS - Location Intelligence

About the Team

The Location Intelligence Engineering team is part of the Delivery Experience (DEX) area. The team focuses on driving the core technical engine behind logistics support through the Delivery Optimization Engine (DOE), solving complex, large-scale problems in routing, automated parcel sequencing, and dynamic courier zone balancing. High-performance services directly compress fleet size and maximize vehicle utilization across a growing logistics network.

Description

As a Senior Software Engineer specializing in Python and routing algorithms, you will design and scale high-throughput services that power first- and last-mile operations. By leveraging network analysis and spatial optimization, you will help build the next generation of the Delivery Optimization Engine and redefine logistics efficiency.

We are looking for people who:

• Have at least 4 years of commercial experience in backend software development using Python and SQL
• Possess experience or a strong understanding of the logistics domain, network analysis, and routing (e.g., graph theory, road network modeling, Vehicle Routing Problems)
• Have experience with geospatial data concepts applied via code (e.g., H3/spatial indexing, clustering algorithms, PostGIS)
• Are familiar with cloud ecosystems (Google Cloud Platform preferred) and modern infrastructure tools (Kubernetes, Terraform, Airflow)
• Advocate for engineering excellence, including clean code, TDD, CI/CD, and rigorous code reviews
• Know how to design and scale a microservices-based architecture
• Have a positive attitude, excellent teamwork skills, and a higher technical education (Computer Science or related fields)

Why is it worth working with us?

• Real-World Impact: Build algorithms and data foundations that directly optimize routes and fleet utilization for first- and last-mile operations
• Modern Tech Stack: Cloud-native Python architectures, Big Data solutions, and modern routing APIs (e.g., Google, HERE, open-source routing engines)
• Stability & Integration: Long-term stability and deep team integration via an employment contract within a collaborative engineering environment

Our Current Technology Stack Includes:

Backend & Routing:

• Python
• Microservices
• Open-source & Commercial Routing Engines

Data & Cloud:

• Google Cloud Platform (BigQuery, Dataflow, Composer/Airflow)
• SQL

Infrastructure:

• Kubernetes
• Terraform
• CI/CD pipelines

What's in it for you:

• Flexible working hours in a hybrid model (4 days in the office / 1 day remote) and 30 days of occasional remote work
• Long term discretionary incentive plan based on company shares (restricted stock units)
• Annual bonus based on performance and company results
• Well-equipped offices and modern work tools (MacBook Pro or Dell with Windows and necessary accessories)
• Cafeteria plan benefits (medical, sports, lunch packages, insurance, vouchers)
• English classes related to the job
• Training budget, hackathons, internal learning platform
• Additional day off for volunteering
• Social events and team initiatives

Additional Information

You will join a collaborative team with strong autonomy in technology choices and development approach. The engineering environment is based on self-service tools such as Kubernetes, Docker, Consul, GitHub, and GitHub Actions. The scale includes over 1000 microservices, high-throughput data systems, service mesh, large-scale data processing, and production-used machine learning.