Founding Systems Engineer (Infrastructure)

Crane Venture Partners; Greater London; On-site; GBP 80,000 - 100,000; Full time

Benefits offered by this job

Founding Equity

Technical Challenge

World-Class Team

Job summary

A dynamic AI startup in London is seeking a Founding Systems Engineer to lead their ML Infrastructure team. This role involves driving DevOps and MLOps across R&D and production environments, focusing on automation and cross-functional collaboration. Ideal candidates will have experience with MLOps tooling, cloud platforms, and excellent engineering skills. You'll work with a world-class team to tackle challenging infrastructure problems and help shape the company's engineering culture. Founding equity offered.

Qualifications

• Proven track record in MLOps and DevOps tooling is essential.
• Experience with ML infrastructure for research and production.
• Knowledge of Infrastructure as Code tools like Terraform.

Responsibilities

• Lead the ML Infrastructure team on DevOps and MLOps.
• Automate release and evaluation processes for ML systems.
• Collaborate with cross-functional teams to support projects.

Skills

MLOps & DevOps Tooling

ML Infrastructure Experience

Infrastructure as Code

Cloud Expertise

Engineering Excellence

Communication

Tools

ArgoCD

Kargo

Jenkins

Vertex AI

SageMaker

Terraform

Helm

Job description

Founding Systems Engineer (Infrastructure)

London • Full-time • Pavo Labs

About Pavo

Pavo is building Enterprise Superintelligence: compounding systems that take ownership of business outcomes and work with humans to deliver them.

We believe that while foundation models are necessary, they are not sufficient. The hard problem is systems intelligence: end-to-end architectures that understand a company's code, data, and decisions, and improve themselves through experience.

We are assembling a small, senior team of researchers and engineers obsessed with systems-first intelligence. Our current team consists of PhDs and ML engineers from top applied ML and coding agent companies, with a heritage of shipping systems at Spotify, ShareChat, and Sourcegraph scale.

Our team has built impressive momentum with a small group of highly capable engineers and researchers.

The Opportunity

As a Founding Systems Engineer, you will lead our ML Infrastructure team, driving DevOps, MLOps, and Agent Ops across both R&D and production environments. You will own the automation of release and evaluation processes and collaborate closely with cross-functional teams to support their projects.

This is a critical role for a builder who thrives at the intersection of ML research infrastructure and production systems, and wants to define the engineering culture of a fast-paced AI company from the ground up.

What You'll Build

• ML Infrastructure Leadership: Lead the ML Infrastructure team working on DevOps, MLOps, and Agent Ops for both R&D and production environments.
• Release & Evaluation Automation: Automate the release and evaluation processes for research and production, ensuring reliable and efficient delivery of ML systems.
• Cross-Functional Collaboration: Collaborate with cross-functional teams and support their projects, acting as a key enabler across the organisation.

What We Are Looking For

• MLOps & DevOps Tooling: Proven track record of working with systems such as ArgoCD, Kargo, Jenkins, Vertex AI, SageMaker, and similar platforms.
• ML Infrastructure Experience: Proven track record of working on ML research and production infrastructure.
• Infrastructure as Code: Knowledge of IaC tools such as Terraform and Helm.
• Cloud Expertise: Excellent familiarity with at least one of the hyperscaler clouds (GCP, AWS, Azure), and familiarity with the others.
• Engineering Excellence: Excellent software engineering and problem-solving skills.
• Communication: Excellent interpersonal and communication skills.

Why Join Us

• Founding Equity: Significant ownership in a company tackling the next layer of the AI stack.
• Technical Challenge: Solve novel infrastructure problems related to secure agentic execution and "orgs in a box."
• World-Class Team: Collaborate with a dense talent cluster of researchers and engineers who have shipped products serving hundreds of millions of users.

Pavo is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Apply for this role.