Senior Engineer – Foundations: Scalable AI Data Systems

Jobs in JS

Greater London

On-site

GBP 100,000 - 150,000

Full time

7 days ago
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Benefits offered by this job

Competitive salary + equity
London office 4+ days/week
Annual learning budget
Travel for visits & conferences
Company lunches

Job summary

Encord is the universal data layer for AI. Our Foundations backend engineers design and build the high‑performance data systems powering multimodal AI data at scale.

You will own end‑to‑end data services, from design to deployment and monitoring, helping hundreds of AI teams depend on a fast, reliable platform. The role emphasizes ownership, shipping impactful systems, and shaping architecture with a team that values long‑term thinking.

Qualifications

  • Fluency in at least one high level language (Python, Typescript) and one statically typed (Rust, C++, Java, Go).
  • Strong grounding in distributed systems concepts (databases, replication, partitioning, queuing, caching, consistency) and how they behave under load.
  • Deep understanding of CS fundamentals, data structures and algorithms.
  • Experience owning services in production and improving quality through code reviews, testing, rollout and monitoring.

Responsibilities

  • Own significant projects in our data systems end to end: design, architecture, deployment, monitoring and measuring the impact you made.
  • Build distributed systems that stay fast and correct under load, and reason carefully about every way they can fail.
  • Shape performant protocols and APIs, that customers build directly on top of.
  • Find simple solutions to complex domains at scale, and know when boring technology wins.
  • Raise the bar for everyone around you through code reviews, pairing and sharing what you know.

Skills

Python
Typescript
Distributed systems
CS fundamentals

Tools

Rust
C++
Go
Docker

Job description

Encord is the universal data layer for AI. Our Foundations backend engineers design and build the high‑performance data systems powering multimodal AI data at scale.

You will own end‑to‑end data services, from design to deployment and monitoring, helping hundreds of AI teams depend on a fast, reliable platform. The role emphasizes ownership, shipping impactful systems, and shaping architecture with a team that values long‑term thinking.

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