Senior Product Engineer, Kernel AI

• 6+ years of software engineering experience
• Experience working in an early stage start-up
• A well-rounded product 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
• You’re a well-versed “T-shaped” product engineer with a spike in backend engineering
• You don’t have to be a DevOps wizard, but some experience working with AWS and Kubernetes would very helpful
• You’re 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

Desirable

• You’ll 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
• 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
• 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
• ️ Tech stack:
• Back-end (AWS): NodeJS, Typescript, Postgres
• Front-end: NextJS, Typescript, Tailwind
• Workflow automation: n8n

• 1. 30 minute intro call with our Product Manager, Marcus (Hiring Manager).
• 2. Take-home task where you’ll be asked to solve a real-world problem (max 2 hours)
• 3. System architecture white-boarding interview
• 4. Values interview our founder and CEO
• (Reference calls)