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Description:
Distributional is seeking a DevOps/SRE Software Engineer to work on their modern enterprise platform for AI testing.
The role involves being responsible for the core backbone that enables Distributional to be deployed and maintained in various ways, including SaaS and packaged for customer deployments.
The engineer will ensure Distributional engineers can easily build and deploy the product and will build visibility and monitoring tools to keep the product running smoothly.
The position requires a passion for Developer Experience and an interest in improving AI testing.
Requirements:
4+ years of low-level cloud experience with AWS, GCP, or Azure.
Experience in building and maintaining CI pipelines using tools like GitHub Actions, CircleCI, Jenkins, etc.
Proficiency in building and managing complex deployment packages with tools such as Terraform and Helm.
Familiarity with using and troubleshooting Kubernetes.
Coding experience with Python or another scripting language.
Strong communication skills to work independently and as part of a team, effectively communicating to resolve blockers.
Ability to work in a fast-paced, fully remote team and prioritize time effectively.
Benefits:
Opportunity to work with a seed-stage company backed by top investors like a16z, p72.vc, and SVAngel.
Chance to contribute to making AI safe, secure, and reliable through better AI testing.
Work in a dynamic startup environment with a focus on developer tooling and productivity.
Potential for growth and development by stepping in as a backend developer, understanding database fundamentals, and working within a multi-faceted architecture.