Senior Full Stack Engineer

Kernel Job Posting

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.

The Role

You are a T-shaped full stack engineer with a spike in backend engineering. You will work with product and engineering on the product overall and support our infrastructure so we can scale efficiently. You do not need to be a DevOps wizard, but experience with AWS and Kubernetes is helpful.

You are adaptable, take initiative and enjoy contributing at pace. The team is lean, the environment is low-structure and clear communication matters. You will own our back-end infrastructure from AWS to our workflow automations in n8n and help the company grow from $3M to $30M ARR. We are still early in building our infrastructure, so you will play a key role in shaping what we build and how we build it.

What You'll Be Doing

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

More specifically you will be:

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

What You Bring

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) - either through production experience or demonstrated personal projects. If you're new to LLMs but have shipped complex production systems in other domains and are comfortable rapidly learning new technologies, we'd still love to hear from you.

Ability to operate autonomously in a small, high-velocity team

Excellent communication and collaboration skills

Some experience with Kubernetes or distributed systems

It is a plus if you also have:

Experience working on AI-driven or data-heavy products

Frontend experience (NextJS, React, TypeScript)

Understanding of CRM data models or workflow automation

This Role May Not Be For You If You:

Need lots of structure

Will only ship pixel-perfect results before releasing

Need a fully fleshed-out spec to code

Are heavily indexed on DevOps and have spent less time on software engineering

This Role Is Definitely Not For You If You:

Prefer fully remote work (this role requires at least 3 days a week in the office)

Do not enjoy the intensity of an early-stage startup

Have side hustles or other projects

Want to manage a team

What We Offer

Salary: £110,000 – £170,000 + 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

Tech Stack

Back-end (AWS): NodeJS, TypeScript, Postgres

Front-end: NextJS, TypeScript, Tailwind

Workflow automation: n8n

Team

We are around 30 people with 7 engineers and 1 Product Manager, including:

Sam Houghton, Founding Engineer

Eleanor Leung, Senior Engineer

David Saltares, Senior Engineer

Stefan Sabev, Head of Product

Tom Ankers, Senior Engineer

Willis Chou, Senior Engineer

Visas & Relocation

We sponsor visas for exceptional candidates and provide relocation support for those moving to London.

Interview Process

Stage 1: Introductory Call (40 minutes)

Stage 2: Hiring Manager Call (40 minutes)

Stage 3: Take-Home Task (≤ 2 hours)

Stage 4: Technical Interview (90 minutes)

Final Stage: Founders Interview - a conversation with Anders (CEO) and Marcus (CTO) focused on values alignment and long-term vision.

Following Mutual Fit: Reference checks and offer stage.