Head of Platform

What Youll Do

Youll lead the platform group that every Sensi engineer builds on: a company-wide function that serves all our product squads reporting directly to the VP R&D. Four domains one team and real room to shape how we build.

Cloud DevOps & Infrastructure

• Own our AWS and Kubernetes foundation: reliability security scalability and cost efficiency.
• Make Infrastructure as Code automation and CI/CD the standard way we ship.

Developer Platform

• Build the paved roads for our squads: self-service tooling service packages migrations databases and CI/CD that help teams ship faster and safer.
• Take an active part in architecture decisions across all our product lines.

Data Engineering

• Build our data engineering function from the ground up: reliable scalable pipelines that handle large volumes of data from many sources.
• Hire and lead our first data engineers and set the standards for quality and reliability.

Agentic Platform & AI Enablement

• Build the infrastructure that lets our teams develop deploy and run AI agents a core part of our products.
• Bring AI into how we work: internal agents Claude and tooling that make our engineers faster while keeping a close eye on cost.

Leadership

• Lead and grow the platform team: hire mentor and develop engineers.
• Bring order to growth: define processes find the weak spots and fix them and prioritize across four domains.
• Partner closely with the product squads data science and R&D leadership.
• Stay hands-on: dive into the code and architecture when it matters.

Requirements:

• 5 years of experience leading engineering teams including platform or infrastructure teams in a scaling technology company.
• Proven hands-on engineering track record in DevOps infrastructure platform or backend.
• Strong technical foundation in cloud architecture and infrastructure: AWS Kubernetes Infrastructure as Code and CI/CD.
• Experience balancing reliability scalability delivery speed and cost.
• Ability to lead across multiple technical disciplines including areas where specialists have deeper expertise.
• Experience building teams defining technical strategy and delivering cross-functional initiatives.
• A solid understanding of data pipelines and working with large-scale data.
• A hands-on state of mind: youre not afraid to dive into the code learn new domains fast and change what isnt working.
• Strong execution and prioritization: you take ownership build processes bring order to growth and drive stakeholders toward results.

Nice to have

• Hands-on exposure to AI agents LLM infrastructure evals or AI cost optimization.
• Experience building an internal developer platform or leading a developer experience function.
• Experience building or leading data engineering ideally from scratch.
• Familiarity with our stack: Python microservices Kafka Postgres.