Job Details

Instead of relying on dated technologies like Spark, we built Chalk from the ground up to provide a best-in-class experience for our users – the experience we've always dreamed of. Chalk makes it simple to integrate new features, backtest changes, and deliver real-time machine learning and generative AI.

Chalk's infrastructure is not just about powering decisions; it's about empowering developers. We deeply understand the pain points and workflows that make machine learning challenging, and Chalk was built to ease that pain.

About the role

We are hiring our first Infrastructure Engineer to join Chalk. 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 software 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.

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

• 2+ 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.
• 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.

Compensation

Range: $120K - $220K. Actual compensation awarded to successful candidates will be based on several factors, including market, location, scope of the position and individual qualifications objectively assessed during the interview process.

Our comprehensive total package plays a major role in how we recognize individuals for the impact they will have on Chalk's growth and us achieving our goals.

The listed range above is simply a guideline, and the base range for this particular role may be modified. Chalk offers early team member equity and competitive benefits package in addition to the cash compensation.

Inclusivity

Chalk is an equal opportunity employer. We value diversity and inclusion and provide reasonable accommodations to anyone in need of individualized support.

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