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
• 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
• 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

Desirable

• 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
• ️ Tech Stack:
• Back-end (AWS): NodeJS, TypeScript, Postgres
• Front-end: NextJS, TypeScript, Tailwind
• Workflow automation: n8n

• 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