Scale Architect: Distributed Systems Engineer for AI Infra

Albert Bow Limited; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Albert Bow Limited is seeking an engineer to join its high-growth AI infrastructure team in London. The role involves designing and implementing distributed systems to store, index, query and process massive multimodal data, from architecture through deployment and monitoring.

You will own projects end-to-end, tackle performance bottlenecks, and drive scalable, reliable systems across storage, APIs and protocols. The position is on-site with a 4+ day per week requirement.

Qualifications

• Strong production experience with Python or TypeScript
• Experience with statically typed languages such as Go, Rust, C++, or Java
• Proven experience building and owning distributed systems in production
• Deep knowledge of databases, replication, queues, caching and consistency
• Excellent knowledge of data structures, algorithms and CS fundamentals
• Experience taking systems through design, development, deployment, monitoring and optimisation
• Strong understanding of system performance and failure modes
• Able to work autonomously on ambiguous, technically complex problems

Responsibilities

• Design distributed systems at scale
• Build storage, indexing and querying systems
• Design performant APIs and protocols
• Work with databases, caching, queues and replication
• Solve scalability, consistency and reliability challenges
• Identify and resolve performance bottlenecks
• Make architectural decisions for scalable systems
• Improve engineering standards via code reviews and testing and knowledge sharing

Job description

Albert Bow Limited is seeking an engineer to join its high-growth AI infrastructure team in London. The role involves designing and implementing distributed systems to store, index, query and process massive multimodal data, from architecture through deployment and monitoring.

You will own projects end-to-end, tackle performance bottlenecks, and drive scalable, reliable systems across storage, APIs and protocols. The position is on-site with a 4+ day per week requirement.