We are seeking a Backend & infrastructure engineer to join our Innovation Team within our Mapping Division. This role is best suited for engineers with strong system-level thinking, a can-do approach, and a hands-on mindset, with the ability to design, build, and optimize complex systems operating at scale.
What your job will look like:
Develop and maintain backend and data-processing components in large-scale systems
Design, implement, and optimize data pipelines and distributed processing flows
Work with large-scale storage systems (e.g., S3) and high-volume data access patterns
Optimize systems and code across multiple layers - from architecture to implementation
Identify performance bottlenecks, debug complex issues, and drive root-cause solutions
Work across teams and domains, reading, improving, and refactoring existing code
Take part in technical design and decision-making, balancing performance, scalability, and maintainability.
Requirements: 4+ years of experience in software development, with a strong backend and/or infrastructure focus
Experience building backend services (APIs) and working with databases and storage systems
Experience using AI as a core part of the development workflow
Hands-on experience with large-scale data processing and distributed systems
Experience with Spark / PySpark - a strong advantage
Experience with Python or Node.js
Strong understanding of performance optimization and system behavior (CPU, memory, concurrency)
Proven debugging skills and ability to move from symptoms to root cause
A strong can-do approach - proactive, hands-on, and not afraid to dive into complex systems.
This position is open to all candidates.