Distributed Systems Engineer

Location: London

Working model: On-site — 4+ days per week

Employment: Full-time

The Opportunity

What happens when your data grows 100x?

This is an opportunity to join a high-growth AI company building the core infrastructure behind a data-intensive AI platform .

The engineering team is responsible for the systems that store, index, query and process massive amounts of multimodal data — including video, images, 3D sensor data and documents.

This is a role for engineers who enjoy solving difficult problems around scale, performance, reliability and distributed systems .

You’ll have significant ownership, taking projects from architecture and design through to implementation, deployment, monitoring and optimisation.

What You'll Be Working On

• Designing and building distributed systems at scale
• Developing high-performance data infrastructure
• Building storage, indexing and querying systems
• Designing performant APIs and protocols
• Working with databases, caching, queues and replication
• Solving problems around scalability, consistency and reliability
• Identifying and resolving performance bottlenecks
• Making architectural decisions for systems designed to scale significantly
• Improving engineering standards through code reviews, testing and knowledge sharing

What We're Looking For

• Strong production experience with Python or TypeScript
• Strong experience with Go, Rust, C++, Java or another statically typed language
• Proven experience building and owning distributed systems in production
• Strong understanding of:
• Databases
• Partitioning
• Replication
• Queuing
• Caching
• Consistency
• Excellent knowledge of data structures, algorithms and core CS fundamentals
• Experience taking systems through design, development, deployment, monitoring and optimisation
• Strong understanding of system performance and failure modes
• Comfortable working autonomously on ambiguous and technically complex problems

The Ideal Background

You could come from a range of technically demanding environments, including:

• Distributed systems
• Data infrastructure
• Database engineering
• Storage systems
• Search and indexing
• High-throughput platforms
• Trading or financial infrastructure
• Cloud infrastructure
• Large-scale backend systems
• Performance-critical software