Senior Site Reliability Engineer

We're hiring engineers at multiple levels from Senior to Principal - fully remote within US & Canada!

Who we are

At Gretel, our mission is to build the world’s first developer platform for synthetic data. Our platform solves the data bottleneck problem for developers, data scientists, and AI/ML researchers across multiple modalities including tabular, time-series, relational, language and image. Gretel's APIs automatically fine-tune AI models to generate synthetic data on-demand while protecting privacy and maintaining the utility and accuracy of the original data.

As a Site Reliability Engineer (SRE) at Gretel you will ensure the safety, security, and reliability of our cloud infrastructure. This includes our compute infrastructure, container orchestration platform, deployment pipelines, and observability stack.

What you will do

  • Build and maintain Gretel's observability stack. Measure and monitor Gretel's availability, latency, and overall system health

  • Scale systems sustainably with automation and continuously improve and evolve systems

  • Manage and lead incident response, recovery, and blameless postmortems

  • Partner with software engineers to troubleshoot production issues

  • Build tools and frameworks that help Gretel engineers be more productive

  • Ship complex ML/AI models in partnership with Gretel's applied science and engineering teams

Minimum Qualifications

  • Experience with at least one cloud platform (we use AWS heavily)

  • Experience with Docker and Kubernetes

  • Ability to write software and tools in Python or Go

  • Experience with monitoring, alerting and operations

  • Experience operating highly available distributed systems in the cloud

  • Experience identifying, diagnosing, and responding to operational outages

Preferred Qualifications

  • Experience with infrastructure as code (Terraform, CloudFormation, etc)

  • Experience with build systems such as Bazel

  • Experiencing shipping application with complex dependencies (Pytorch, Tensorflow)

  • Software engineering skills beyond script writing (TDD, design patterns, etc)

  • Experience with DevOps or CI/CD pipelines

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