Job Description
About Kernel
Kernel gives enterprise RevOps teams confidence in their CRM data.
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 Gong, Navan, Zip, Remote and GoCardless use Kernel to clean, enrich and complete their CRM data at enterprise scale, eliminating duplicates, fixing hierarchies and restoring trust in the foundation that powers forecasting, territory planning and AI initiatives.
Our 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.
The Role
You are a T-shaped software 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.
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 engineering experience
Experience in an early-stage startup or small, fast-moving team
A well-rounded engineering toolkit and strong backend depth
Ability to work independently and autonomously with clear communication
Ability to operate in a small team with shifting priorities
Some experience with Kubernetes
Experience working with large volumes of data
It is a plus if you also have:
LLM experience such as building RAG models, prompt engineering and familiarity with major foundation models
Some front-end experience
⚠️ 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
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
🛠️ Tech Stack
Back-end (AWS): NodeJS, TypeScript, Postgres
Front-end: NextJS, TypeScript, Tailwind
Workflow automation: n8n
❤️ Team
We are around 30 people with 4 engineers and 1 Product Manager, including:
Fara Ashiru, Head of Engineering
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 – 30-minute intro call with Sandi. You will get an 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.
Responsibilities
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