Full Stack Engineer

Kernel provides customization at scale, which means we process millions of accounts, collect terabytes of data, and run tens of thousands of executions in parallel. Your role will be to own our back-end infrastructure - everything from AWS to our workflow automations in n8n - helping us scale from $1M to $10M ARR. We are still in early stages of building out our infrastructure which means you have the opportunity to play a key role in shaping what we build and how we build it. More Specifically You Will Be

• Working on ensuring a world-class, scalable back-end infrastructure.

• Working daily with the team to move us toward our next goal

• Rapidly shipping features to users and to our internal team

• Continuously evaluating our code, infrastructure, and processes to see if they meet our needs, always looking for ways to improve

• Automating our manual processes

• Sharing feedback on roadmap direction and ideas on bets to place / potential solutions \u26a0\ufe0fThis role may not be for you if\u2026

• You need lots of structure

• You\u2019ll only ship pixel-perfect results

• You need a fleshed-out spec to code

• You\u2019re heavily indexed on DevOps and have spent less time on software engineering \u274c 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)

• You don't enjoy the intensity of an early-stage startup

• You have side hustles or other projects

• You want to manage a team What We Offer We\u2019ll do our very best to offer you a ride of a lifetime. It won\u2019t be easy, but it will be thrilling.

• Working directly with the founding team

• A fast-paced ride in the early inning of a new technology wave

• Weekly 1 : 1s to help you grow

• Salary : \u00a3120 - 200k + equity

• Equity

• 24 days of holiday per year

• 2 weeks working from anywhere

• Pension \ud83d\udee0\ufe0f Tech stack

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

• Front-end : NextJS, Typescript, Tailwind

• Workflow automation : n8n \u2764\ufe0f Team We are currently around 30 people with 4 people in engineering and 1 Product Manager, specifically

• Fara Ashiru, Head of Engineering

• Stefan Sabev , Head of Product

• Sam Houghton , Founding Engineer

• Eleanor Leung , Sr Engineer

• David Saltares , Sr Engineer

• Tom Ankers , Sr Engineer

• Willis Chou , Sr Engineer \ud83c\udfab Visas We sponsor visas for exceptional candidates \u2728 Interview Process

You\u2019re a well-versed \u201cT-shaped\u201d full stack engineer with a spike in backend engineering. You\u2019ll be working with the product and engineering team on building the product in general, but will help support our existing infrastructure, ensuring we can scale in an efficient manner. You don\u2019t have to be a DevOps wizard, but some experience working with AWS and Kubernetes would very helpful.

You\u2019re adaptable, often taking initiative to identify and tackle tasks autonomously, and you enjoy making valuable contributions at pace. The lean nature of the team means you thrive in a low-structure environment, and having the ability to communicate clearly is very important.

You Would Ideally Have The Following

• 6+ years of software engineering experience
• Experience working in an early stage start-up
• A well-rounded software engineering toolkit
• The ability to work independently and autonomously
• The ability to operate in a small team with shifting priorities
• Some experience working with Kubernetes
• Experience working with large volumes of data

It would be a plus if you also have experience in :

• LLM experience, such as building RAG-models and prompt engineering and familiarity with the main foundation models on the market
• Some front-end experience

Kernel enables revenue teams to research companies as if they had unlimited time. We\u2019re growing extremely fast and working with many of the best revenue teams in the world like Remote.com , Navan, Zip, GoCardless, Cognism, and many more. Previously, revenue teams relied on manual research to understand if a company had the problem they solved : Do job descriptions indicate doing what you automate? Who do they sell to? Is non-public financial data estimated to the right size? And what does this data tell me about their corporate card spend? Their travel expenses? Our customers use Kernel to find this for every relevant company in the world to get complete overviews of ideal customers and pursue the right companies. We\u2019re a team of second-time founders and have raised $5mm+ from top VCs and revenue leaders at Open AI, Slack, Snowflake, and MongoDB.