Senior Full Stack Engineer

Kernel provides enterprise RevOps teams with agentic company data for their CRMs.

We’ve raised a $14M Series A from top VCs and operators at Plaid, OpenAI, Slack and others to build the AI-native alternative to Dun & Bradstreet’s entity and hierarchy data.

RevOps teams at companies like Navan, Gong, Mistral, and AlphaSense use Kernel to build and maintain confidence in their CRM company data, eliminating duplicates and broken hierarchies without inhumane levels of manual review. The result is territories that can be defended, credibility with sales and leadership, and AI initiatives that actually work because the underlying company data is trustworthy.

Our data management platform combines entity-level intelligence with mass-action tooling to give RevOps teams the data quality and control needed to plan confidently and deploy AI successfully.

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 us scale from $1 M to $10 M 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.

• 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

• 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

• Experience working on AI-driven or data-heavy products

• Frontend experience (NextJS, React, TypeScript)

• Understanding of CRM data models or workflow automation

• 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

• 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

We will do our best to offer you a ride of a lifetime. It will not be easy, but it will be thrilling.

• 💰 Salary: £120,000 – £200,000 + 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

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

• Front-end: NextJS, TypeScript, Tailwind

• Workflow automation: n8n

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

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

Stage 1 – 30-minute intro call with a key member of our hiring team. You will get a quick overview of Kernel and discuss your motivations and strengths.

Stage 2 – Take-home task (≤ 4 hours) solving a real Kernel problem.

Stage 3 – 90-minute technical interview in our London office to review your solution and understand your thinking.

Final Stage – Founders interview with Anders (CEO) and Marcus to explore values alignment.

If there is mutual fit, we move to references and offer.