Software Engineer, Infrastructure

DatologyAI

2d • $180,000 - $300,000 • Hybrid

About The Position

We're looking for an experienced Infrastructure Engineer to join as a member of our core Datology AI team. As one of our early senior hires, you will partner closely with our founders on the direction of our product and drive business-critical technical decisions. You will lead the development of our data infrastructure capabilities, including multi-cloud support and support for various deployment models, as well as training and inference infrastructure. You will have a broad impact on the technology, product, and our company's culture.

Requirements

• 4+ years of relevant experience
• Have meaningful experience in spearheading and constructing large-scale infrastructure
• Proficiency in bash, Kubernetes, Python, and/or Terraform or similar technologies
• Have experience working with AWS, other cloud platforms such as Azure or GCP and/or on-prem environments
• Have expertise in debugging problems across the stack, such as networking issues, performance problems, hardware issues or memory leaks
• Take pride in building and operating scalable, reliable, secure systems
• Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed
• Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done

Nice To Haves

• 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

Responsibilities

• Design and build the development and production platforms that power our products, enabling reliability and security at scale
• Architect, build, and deploy our core infrastructure while supporting multiple cloud providers and various deployment models
• Accelerate company productivity by empowering your fellow engineers & teammates with excellent tooling and systems, providing a best-in-case experience
• Partner with researchers and engineers to bring new features and research capabilities to our customers

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed