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.
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
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
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