Principal Software Engineer

SUMMARY:
Tired of being the smartest person in the room with no room to prove it?
This is a hands-on principal engineering role — not a glorified meeting chair. You'll be making real architectural decisions on cloud-native platforms that process large-scale geospatial and Earth data, working alongside AI and data engineering teams, and actually shipping code. If you want technical ownership with global impact, this is it.

POSITION INFO:
What you need:

• 7+ years of software engineering experience, including senior or staff-level technical leadership
• Strong Python backend experience — modern frameworks, production systems
• Distributed systems and cloud-native architecture — you've designed and built them, not just read about them
• Scalable API design and asynchronous systems
• Solid on relational databases and large-scale data architectures
• Infrastructure as Code and cloud environments
• You can communicate trade-offs clearly to both engineers and non-technical stakeholders
• Degree in Computer Science, Software Engineering, Applied Mathematics, or similar

• Google Cloud Platform or equivalent cloud ecosystem experience
• Kubernetes and containerised workloads
• TypeScript and modern frontend frameworks
• Geospatial technologies, spatial databases, or Earth observation datasets
• Exposure to AI/ML-enabled or data-intensive platforms
• Cloud, architecture, or data engineering certifications

• Architect: backend systems, cloud infrastructure, APIs, and platform services at scale
• Build: production-quality software — this is not a hands-off role
• Lead: engineering standards, platform governance, and technical roadmaps
• Mentor: engineers across backend, frontend, and infrastructure — raise the bar across the team
• Solve: complex production incidents, technical postmortems, and the problems nobody else can crack
• Collaborate: directly with AI, geospatial, data, and product teams — and with strategic customers when needed

• High-impact technical ownership — your decisions shape the platform
• Hands-on exposure to large-scale data, AI, and cloud-native systems
• Flexible working environment
• International multidisciplinary teams
• Professional development support and certifications covered
• Competitive compensation package