Infrastructure Engineer

We are hiring exceptional engineers to join the Infrastructure team. This is an opportunity to join us in-person as an early employee and make a large impact at a high growth start-up. You will tackle challenging engineering problems with a high degree of autonomy and ownership.

We are looking for a platform engineer with a strong background in infrastructure engineering. At Chalk we are solving problems drawn from the fields of DBMS query planning & optimization, compilers, and distributed analytical data processing systems.

Chalk uses dynamic and static analysis of Python programs in order to optimize arbitrary user Python code, infers and orchestrates infrastructure implied by the structure of that code, and tracks metadata about flow of data through these systems.

We’re in the office 5 days a week. When unavoidable conflicts come up, we’re flexible. This is not a hybrid role.

What you will do

• Write code to automate orchestration and provisioning of infrastructure to execute Chalk technology for Chalk customers and prospects.
• Build a platform for managing our hosted platform, and for managing the deployment of Chalk into customer-owned cloud accounts across AWS and GCP
• Work closely with our Engineering and Sales teams
• Help interview and grow the Engineering team

• 4+ years experience writing software to automate infrastructure management
• Proficient in Python, Go, and/or Terraform
• Experienced in working with AWS and/or GCP
• Ability to collaborate effectively in teams of technical and non-technical individuals
• Experience working closely with sales teams and customers is a plus.
• Bachelor’s degree in Computer Science or equivalent

Bonus points

• Previous experience working with ML/data products or services
• Have experience setting up hosted cloud resources for multiple companies
• Understanding of Machine Learning Ops/Infrastructure

Chalk (chalk.ai) is the platform for production AI. Trusted by enterprises including Whatnot, Grindr, Mission Lane, Turo, and Apartment List, Chalk brings together context, runtime, and learning for agents and models. Chalk’s Context Engine delivers live context by querying data across warehouses, databases, streams, and APIs, straight from the source. Chalk’s runtime powers agents and models with infrastructure and governed access to LLMs and tools. Together, these capabilities help teams build AI that understands their business, continuously improves, and runs reliably in production. We’ve recently raised a $50 million Series A, led by Felicis. Learn more at chalk.ai.