Senior/Staff Software Engineer — Infrastructure
We’re on a mission to democratize AI by building the definitive AI data development platform. The AI landscape has gone through incredible change between 2016, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world’s largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!
As a Software Engineer on the Infrastructure team, you'll accelerate the Snorkel AI team and our customers by improving our developer platform and services for user and data management across the stack. You’ll work closely with other engineers, researchers, and product management to align on the highest leverage improvements for CI/CD, cloud infrastructure, deployment, security, authentication/authorization, and more.
Main Responsibilities
- Deploy and maintain CI/CD and software release pipelines across multiple environments and continuously improve testing frameworks development tooling and deployment best practices
- Define and build our deployment strategy, internal and external, for SaaS-hosted, on prem, and managed service offerings
- Build and maintain Snorkel’s production and staging infrastructure, own our k8s and cloud strategy
- Design, develop, and maintain observability, alarms, and monitoring tools
- Participate in on-call responsibilities in rotation with the engineering team
- Work a hybrid schedule with three days per week in our Redwood City HQ or the SF office and work remotely with "No Meeting" Tuesdays and Thursdays
Required Qualifications
- Bachelor's degree in Computer Science or related field
- 6+ years of experience in distributed systems and cloud-native applications
- Proficiency in automation, scripting languages, and infrastructure-as-code tools (e.g. terraform)
- Practical experience with Docker containerization and clustering (Kubernetes/EKS/GKE)
- Strong development and debugging skills in Python or related language
- Strong communication and coding skills
- Proactive and positive attitude
Preferred Qualifications
- 8+ years of professional software engineering experience
- Multiple years of k8s operational experience
- Familiarity with working with large-scale enterprise software deployments
- Familiar with common security best practices, architecture design and implementation.
- Experience building infrastructure, CI/CD, tooling in an enterprise setting
The salary range for this position based in the San Francisco Bay Area is $200,000.00 - $270,000.00. All offers include equity compensation in the form of employee stock options.
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