Senior Full Stack Engineer, Kernel AI

• 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
• 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

Desirable

• 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
• 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

• 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