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Infrastructure Engineer

Chalk

San Francisco, CAFull-time$170–280K/yrPosted 2y agoVerified open 4 days ago

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At a glance

Compensation
$170–280K/yr
Location
San Francisco, CA
Schedule
Full-time
Work Authorization
Not specified

Requirements

Credentials this posting asks for.

Bachelor's degree

Job overview

Chalk is hiring an Infrastructure Engineer. Chalk is hiring an Infrastructure Engineer to join its early‑stage team in San Francisco. The role involves building and automating infrastructure for the company’s machine‑learning platform, collaborating with engineering and sales, and contributing to hiring. The position offers full in‑office work with flexibility for unavoidable conflicts.

Key focus areas include Write code to automate orchestration and provisioning of infrastructure for Chalk customers and prospects, Build a platform for managing hosted platform and deployment into customer‑owned AWS and GCP accounts, and Work closely with Engineering and Sales teams.

Successful candidates bring 4+ Years Experience Writing Software To Automate Infrastructure Management and Bachelor's Degree In Computer Science Or Equivalent. Important skills include Python, Go, Terraform, AWS, GCP, and Collaboration. Preferred (not required): Working With Sales Teams, Working With Customers, ML/Data Products Or Services, and Setting Up Hosted Cloud Resources For Multiple Companies.

Skills & qualifications

RequiredNice to have

Skills

PythonGoTerraformAWSGCPCollaborationWorking With Sales TeamsWorking With CustomersML/Data Products or ServicesSetting Up Hosted Cloud Resources for Multiple CompaniesMachine Learning Ops/Infrastructure

Qualifications

4+ Years Experience Writing Software to Automate Infrastructure ManagementBachelor's Degree in Computer Science or Equivalent

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
Paid Time Off
Parental Leave

Full job description

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 GCP

  • Work closely with our Engineering and Sales teams

  • Help interview and grow the Engineering team

What we’re looking for

  • 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

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