Job Details

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 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 work in-person Monday through Friday in our SF office. We don't currently offer remote or hybrid positions.

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.

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
• Bachelor's degree in Computer Science or equivalent
• 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

Benefits

• Comprehensive medical, dental, and vision insurance
• Retirement savings
• 15 company holidays each year
• 15 days of personal time off each year
• Flex Commuter Benefits
• Daily lunch and dinner on Chalk
• Office is fully-stocked with drinks and snacks to fuel your work day
• Staying late? Dinner is on us

Compensation

Chalk offers early team members a generous salary + equity package based on experience and competitive benefits. Actual compensation awarded to successful candidates will be based on several factors, including but not limited to: 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.

Inclusivity

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

Voluntary Self-Identification

For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information you do provide will be recorded and maintained in a confidential file. For more information, see Chalk's Equal Employment Opportunity policy.

Narrative explanation of disability categories or other self-identification topics are provided to assist with compliance. Participation is voluntary and will not affect hiring decisions.

PUBLIC BURDEN STATEMENT: This survey should take about 5 minutes to complete.