Software Engineer, Infrastructure

The role

You will design and build development and production platforms to enable reliability and security at scale. You will architect, build, and deploy core infrastructure supporting multiple cloud providers and deployment models.

What you will do

• Design and build the development and production platforms that power our products
• Architect, build, and deploy our core infrastructure while supporting multiple cloud providers and various deployment models
• Accelerate company productivity by empowering fellow engineers with excellent tooling and systems
• Partner with researchers and engineers to bring new features and research capabilities to customers

Required qualifications

• 4+ years of relevant experience
• Meaningful experience in spearheading and constructing large-scale infrastructure
• Proficiency in bash, Kubernetes, Python, and/or Terraform or similar technologies
• Experience working with AWS, other cloud platforms such as Azure or GCP and/or on-prem environments
• Expertise in debugging problems across the stack, such as networking issues, performance problems, hardware issues or memory leaks
• Ability to build and operate scalable, reliable, secure systems
• Humble attitude, eagerness to help colleagues, and desire to make the team succeed
• Ability to own problems end-to-end and pick up missing knowledge

Nice to have

• Built out data infrastructure from, or nearly from, scratch at a fast-growing startup
• Experience building ML/DL infrastructure and/or data infrastructure that feeds into training large ML models

Benefits

• 100% covered health benefits (medical, vision, and dental)
• 401(k) plan with a generous 4% company match
• Unlimited PTO policy
• Paid Parental Leave of 12 weeks, plus 6 months of WFH flexibility
• Annual $2,000 wellness stipend
• Annual $1,000 learning and development stipend
• Daily lunches and snacks are provided in our office
• Relocation assistance for employees moving to the Bay Area

About the company

DatologyAI has built a state of the art data curation suite to automatically curate and optimize petabytes of data. The company has raised $57.5M in Seed and Series A rounds.