- Location
- London, United Kingdom
- Employment
- Full time
- Level
- Principal
- Posted
- 10 August
About this role
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 150+ 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 annual leave + UK public holidays
Annual learning & development budget
Travel for customer visits, events, and conferences across the UK and Europe
Company lunches twice a week
Monthly socials & bi-annual team offsites
As published by Encord. Applications are handled on their site.
Skills this posting mentions
About Encord
Encord is the data layer for physical AI. We're how the world's most ambitious AI teams turn messy, multimodal data into production systems - from humanoid robots to autonomous vehicles to smart infrastructure. 300+ teams including Toyota, Skydio, and Maxar rely on Encord to curate, manage, and align the data their models actually need. $110M raised. San Francisco, New York, and London.
All 35 openings at EncordOne click, then it is written
Apply to Encord with a resume written for this role.
Queue Principal Engineer, Backend and I read the posting, rewrite your resume against it, draft the cover letter, and score the fit. Then you press send, or press one button and I fill in Encord’s form for you.
01Drop your resume
A PDF or a LinkedIn URL. About a minute, once.
02I rank the openings
Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.
03Each one is written up
Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.
- 25 sent a week, free
- No card
- Nothing sent until you say so
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Paste your career in once. Every application after that is written for you.
Drop a resume or a LinkedIn URL. I rank the live openings against it, rewrite the resume and write a cover letter for the best of them, and fill in the employer's form when you press the button. You read, you decide what goes out.
01Drop your resume
A PDF or a LinkedIn URL. About a minute, once.
02I rank the openings
Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.
03Each one is written up
Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.
- New matches ranked and written before you are up.
- Every bullet stays inside what your history supports. Nothing invented.
- Queued, submitted, interviewing, offer: one screen, not a spreadsheet.
Free, no card. Up to 25 applications sent a week, and nothing is sent until you say so.
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