Senior Full Stack Engineer Job at Kernel (London)

Job Description

Kernel provides enterprise RevOps teams with AI-powered company data for their CRMs. We raised $14M in Series A funding from top VCs and operators at Plaid, OpenAI, and Slack to build an AI-native alternative to Dun & Bradstreet's entity and hierarchy data. RevOps teams at Navan, Gong, Mistral, and AlphaSense use Kernel to run their organizations. At Kernel, we process 7B+ tokens a day and run 1.8M+ agents daily, all on an architecture that’s intentionally simple: one database, one queue. It’s minimalism built for massive scale (For reference, Wikipedia has 2.3B tokens in the English wikipedia). Our queue processes a daily volume on par with the entire Visa network’s transactions (~365M/day). All of which has been built by a small but mighty team of engineers.

Job Responsibility

Owning and scaling Kernel’s back-end infrastructure (AWS, NodeJS, Postgres, n8n)
Designing systems that process millions of accounts, terabytes of data and thousands of parallel executions
Building reliable, scalable data pipelines and services for enterprise customers
Rapidly shipping features to users and to our internal team
Continuously evaluating code, infrastructure and processes to find improvements
Automating manual processes to increase speed and reliability
Sharing feedback on roadmap direction and ideas on bets to place and potential solutions
Ensuring a world-class, scalable back-end infrastructure
Working daily with the team to move us toward our next goal
Implementing mass-action workflows that clean, enrich and complete CRM data
Establishing robust monitoring, observability and reliability practices
Partnering with product and solutions engineering to translate business logic into safe mass actions in customer CRMs

Requirements

6+ years of software or product engineering experience
Strong experience building and scaling production systems
Comfort with backend engineering (NodeJS, Postgres, TypeScript)
Strong understanding of LLM application development patterns (RAG, prompt engineering, consistency testing)
Ability to operate autonomously in a small, high-velocity team
Excellent communication and collaboration skills
Some experience with Kubernetes or distributed systems

Nice to have

Experience working on AI-driven or data-heavy products
Frontend experience (NextJS, React, TypeScript)
Understanding of CRM data models or workflow automation

What we offer

Equity
24 days holiday per year + bank holidays
2 weeks work-from-anywhere
Pension plan
Top-spec equipment and central London office
Free dinner at the office
Team events and dinners
Work directly with the founders to scale the systems that power enterprise AI
Visa sponsorship and relocation support for exceptional candidates

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Senior Full Stack Engineer

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