Infrastructure Engineer

About Chalk Chalk is building the data platform that powers the future of machine learning applications. We tear down complexity, latency, and scale barriers that have traditionally constrained ML capabilities. Our platform combines Rust-speed performance with elegant tools that developers love to use. Leading companies depend on Chalk for everything from stopping fraudulent credit card swipes, verifying identities, and maximizing clean energy capture. We've recently raised a $50 million Series A, led by Felicis. About The Role 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 GCPWork closely with our Engineering and Sales teamsHelp interview and grow the Engineering team What We’re Looking For 4+ years experience writing software to automate infrastructure managementProficient in Python, Go, and/or TerraformExperienced in working with AWS and/or GCPAbility to collaborate effectively in teams of technical and non-technical individualsExperience 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 servicesHave experience setting up hosted cloud resources for multiple companies Understanding of Machine Learning Ops/Infrastructure Compensation Range: $170K - $280K