Job Description

Who we are

As the global leader in nature-based smart city solutions, we help cities around the world become greener and more resilient against climate change. We apply the latest remote sensing technologies and develop machine learning algorithms and software to automate the analysis of urban trees and green spaces. With our cloud-based platform, cities can improve the operational efficiency of green space management and strategic city planning to create a greener, healthier, safer, and more resilient urban environment. We currently have offices in Berlin, Paris, San Francisco, and Singapore, with production headquarters in Budapest.

Role Overview

This role focuses on shaping and evolving greehill’s end-to-end technology architecture, especially around large-scale data processing, cloud platforms, and AI/ML systems.

The position is key to ensuring the platform can handle high-volume data efficiently -ingesting, processing, and delivering it in a scalable, reliable, and cost-effective way across global operations. It connects product, data, and engineering, turning complex business and analytical needs into practical, maintainable system designs.

The role also drives architectural consistency, supports platform growth, improves performance, and reduces operational complexity as the company scales.

Key Responsibilities

Architecture & Platform

• Design and evolve end-to-end architecture across data ingestion, processing, storage, and delivery
• Define scalable data pipelines and batch or near real-time workflows
• Establish efficient data models, storage strategies, and access patterns
• Design systems for large-scale data growth and high processing workloads
• Define and refine cloud architecture across compute, storage, and networking
• Leverage cloud-native services and support capacity planning for peak demand
• Balance performance, reliability, and cost efficiency

Performance, Reliability & Delivery

• Optimize compute, storage, and data transfer costs
• Improve throughput and eliminate bottlenecks across pipelines and infrastructure
• Establish standards for observability, monitoring, logging, and alerting
• Improve system resilience, fault tolerance, and recovery
• Support incident analysis and continuous improvement
• Define architectural principles, standards, and best practices
• Lead design reviews and drive consistency across systems
• Ensure documentation and knowledge sharing are maintained
• Collaborate with data, ML, DevOps, and product teams
• Support planning, estimation, and technical decision-making
• Guide implementation and act as an escalation point for complex issues

Required Qualifications

• 5–10+ years in system architecture, solution design, or senior engineering roles
• Experience with large-scale data platforms and distributed systems
• Strong cloud expertise (AWS, Azure)
• Experience with batch and streaming data pipelines
• Solid understanding of microservices, APIs, and event-driven architectures
• Strong focus on scalability, performance, and cost optimization
• Exposure to high-volume data domains (e.g., geospatial, LiDAR) is a plus

Why Join Us

• Make a direct impact on climate adaptation and the future of cities through technology that actually gets used
• Work on meaningful, real-world problems at the intersection of AI, sustainability, and urban tech
• Join a fast-growing, international team with real freedom to shape both the product and your role
• Learn, experiment, and grow with talented, curious (green-)tech experts who genuinely care about what they build
• Develop yourself continuously with access to LinkedIn Learning and hands-on learning every day

How we work – We believe the best ideas happen when people spend time together. That’s why we work 4 days a week from the office, with 1 day from home, creating space for collaboration while still keeping some freedom.