Senior Software Engineer, Infrastructure

Full-Time · San Francisco, California · Engineering ·

The mission of Cresta's infrastructure team is to enable every Cresta engineer to be 10x more effective.

The team is responsible for designing, building and advancing our core infrastructure that allows the team to execute quickly, productively and securely. You will join a collaborative but highly autonomous working environment in which each member has a defined role with clear expectations, as well as the freedom to pursue projects they find interesting.

About Us

Cresta is an early-stage enterprise AI startup with the mission of enabling everyone to start as an expert on the first day on the job. Spun out of the Stanford AI lab and chaired by Google-X founder Sebastian Thrun, and backed by Ben Horowitz, our team is composed of Stanford PhDs and top engineers and leaders from Google, Facebook, and other tech companies. We are in production at multiple Fortune 500 companies and are training on millions of dialog conversations.

What You'll Do:

Developer Toolchain. Partner with engineers to build dev tools that empower developer's workflow and deployment infrastructure.

Ensure reliability of multi-cloud kubernetes clusters and pipelines.

Metrics, logging, analytics and alerting for performance and security across all endpoints and applications.

Infrastructure-as-code deployment tooling, supporting services on multiple cloud providers and on-premise virtualization.

Automate operations and engineering. focus on automation so we can spend energy where it matters.

Building machine learning infrastructure that enable AI team to train, test, and deploy on large-scale datasets.

What We Look For:

5+ years experience in DevOps, Site Reliability Engineering, Production Engineering or equivalent field.

Proficiency with coding languages (e.g. Python)

Deep familiarity with container-related security best practices.

Experience working with Kubernetes clusterings.

Experience with Terraform or CloudFormation (cloud orchestration)

Experience working with AWS Exposure to infrastructure-as-code frameworks.

Experience on CI/CD and feature gating systems.

Fluency in Linux operations and configurations.