ashby
Infrastructure Engineer
Chalk
San Francisco, USA
Full-time
Mid · 2+ years experience
Onsite
USD 170000-280000 yearly / year
Discovered 1 weeks ago
PythonGoTerraformAWSGCP
Free
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Role Overview
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.
Key Skills for This Role
PythonGoTerraformAWSGCP
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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.
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