About us

Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production. Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more.

We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator.

The role

We're looking for a Principal Engineer to join our Foundations team, the backend backbone that builds the reliable, scalable, fast systems everyone else at Encord builds on top of. The team's core challenges sit deep in distributed and data intensive systems.

The product mindset on this team is different from most of the company: short-term product insight matters less, long-term matters a lot. Our Foundations team plans around how the next 6, 12, and 24 months will look, with an overarching shape to the problem: handling multiple orders of magnitude the data we handle today. This is our most senior individual contributor role. You'll own the hardest architectural calls, make the trade-offs that shape the platform for years, and raise the engineering bar across the company.

Encord is growing rapidly, with our product as the key driver of that growth. A year ago, we were a team of 100, now, we're over 150 and continuing to accelerate. The systems that got us here won't get us to what's next. That's the problem you'll own.

What you'll do

Design and lead major database and processing-system initiatives
Design performant protocols and APIs, such as our label-format API, that customers use directly. This work sits across both product and engineering
Build robust distributed systems and reason rigorously about how they fail and how they behave under load
Level up engineers across the company through design reviews, pairing, and mentorship, without adding process for its own sake

Who we're looking for

You've seen and built more than most. You've personally designed, built, and operated large-scale distributed systems in production, and you've lived with your architectural decisions long enough to know which trade-offs actually matter
Your impact shows up in the output of the engineers around you, not just your own commits. You make hard things look simple and teach others to do the same
You want your work to have a tangible outcome for people. You're not satisfied with building products that do not see the light of day
You are a builder. You enjoy all aspects of building not only software but a complete product, and are comfortable moving across the stack when necessary
You enjoy problem-solving and thinking from first principles, reach for the simplest solution that works, and know when boring technology wins
You're happy to own problems without a predefined, clear definition or obvious solution, and are excited to have autonomy to make decisions as you go
You understand that being a member of a high-performing team requires two things. You contribute your best work and help others contribute their best. You'll always lend a helping hand when needed and level up those around you

Experience requirements

10+ years building large-scale backend infrastructure applications, including several years operating at staff/principal level with company-wide technical influence
Deep expertise in distributed systems (databases, processing systems, replication, partitioning, queuing, caching) and a rigorous understanding of how they fail and behave under load at scale
Experience leading large-scale data migrations and system-splitting or re-architecture projects with real customer data on the line
Experience owning reliability and operations in production, including monitoring, alerting, and DevOps/SRE
A track record of raising engineering quality across teams through architecture reviews, code reviews, testing, rollout, and monitoring practices
Demonstrated ability to influence without authority, driving technical alignment across teams in a fast-moving, low-process environment

Tech stack

We are technology-agnostic at Encord and are not looking for experience across all of these. As long as you're open to learning, please apply.

Backend: Python
Frontend: TypeScript and React
Deployment: Kubernetes
Infrastructure: GCP
Machine learning: PyTorch, CUDA, Ray

Why Encord

Competitive salary, commission, and meaningful equity in a high-growth startup
Strong in-person culture: the team works from our London office 4+ days/week
25 days

Principal Engineer - Backend at Encord