Encord
Principal Engineer, Backend
London. Posted 3 months ago
The role
A Principal Engineer will join the Foundations team to build reliable, scalable, and fast distributed and data intensive systems. You will own major architectural decisions and design database and processing-system initiatives to handle increasing data volumes.
What you will do
- Design and lead major database and processing-system initiatives
- Design performant protocols and APIs
- Build robust distributed systems
- Reason about how systems fail and behave under load
- Level up engineers through design reviews, pairing, and mentorship
Required qualifications
- 10+ years building large-scale backend infrastructure applications
- Several years operating at staff/principal level with company-wide technical influence
- Deep expertise in distributed systems (databases, processing systems, replication, partitioning, queuing, caching)
- Experience leading large-scale data migrations and system-splitting or re-architecture projects
- Experience owning reliability and operations in production, including monitoring, alerting, and DevOps/SRE
- Track record of raising engineering quality across teams through architecture reviews, code reviews, testing, rollout, and monitoring practices
- Demonstrated ability to influence without authority
Nice to have
- Experience with Python
- Experience with TypeScript and React
- Experience with Kubernetes
- Experience with GCP
- Experience with PyTorch, CUDA, Ray
Benefits
- Competitive salary, commission, and meaningful equity
- Clear, accelerated growth opportunities
- Daily team lunches & dinners
- Annual learning & development budget
- Comprehensive health, dental, and vision coverage
- US employees: 18 paid vacation days plus US public holidays
- UK employees: 25 paid vacation days plus UK public holidays
- Frequent travel opportunities across the U.S., London, and Europe
- Bi-annual company offsites & monthly socials
About the company
Encord is the data layer for Physical AI and enterprise, serving as core infrastructure for 300+ leading AI teams. The company has raised $110M from technology investors.