Posted:
10/23/2024, 10:04:14 AM
Experience Level(s):
Senior
Field(s):
DevOps & Infrastructure ⋅ Software Engineering
Workplace Type:
Remote
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 Senior or Staff 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
We think the best ideas come from the blending of diverse perspectives and experiences, which will lead to a stronger company and advancements in technologies. We hire individuals whose peers call them subject matter experts, whose curiosity draws them to new edges of their field and who like to laugh. We are deeply collaborative, apolitical and mission-oriented.
Gretel is an equal opportunity employer. Individuals seeking employment and employees at Gretel are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law.
Accommodations: We celebrate diversity and are committed to creating an inclusive environment for all candidates and employees. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Employee compensation will be determined based on interview performance, level of experience, specialization of skills, and market rate. During the offer discussion, your recruiter will review the finalized base salary, bonus (for applicable roles), benefits and perks (additional information available on our career site), and stock options as they’ll be reflected in the offer letter.
Employees hired in the U.S. and Canada can expect the below information to reflect a reasonable estimate of the salary offered for this role. Salary ranges are updated regularly using premium market data. (Please note: it is unusual for new hires to receive a base salary at the top of the range. Additionally, the value of Gretel.ai’s stock options is not included in the salary bands and may represent a significant portion of your compensation.)
Senior or Staff Site Reliability Engineer: $180,000-$230,000 USD
Website: https://gretel.ai/
Headquarter Location: San Diego, California, United States
Employee Count: 51-100
Year Founded: 2020
IPO Status: Private
Last Funding Type: Series B
Industries: Artificial Intelligence (AI) ⋅ Data Collection and Labeling ⋅ Information Technology ⋅ Machine Learning ⋅ Privacy ⋅ Software