Senior/Staff Software Engineer — Enterprise
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 Enterprise 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 enterprise readiness and maturity, security, observability, supportability authentication/authorization/audit, and more.You are expected to lead and mentor junior members of the team and set technical direction and roadmaps.
Main Responsibilities
- Design, develop and maintain enterprise features for the platform (including but not limited to authentication/authorization, RBAC,Single Sign-On, data governance)
- Build effective logging, monitoring and alerting platform observability and supportability
- Improve platform security by maintaining regular scanning and patching of CVEs, applying security best practice in source code
- Collaborate with enterprise customers to understand product use cases and translate into engineering specifications, and deliver high-quality solutions
- Lead and mentor junior members of the team and set technical directions and roadmaps in collaboration with internal stakeholders (e.g. PM, GTM)
- 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 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
- Strong development and debugging skills in Python
- Practical experience with Docker containerization and clustering (Kubernetes/EKS/GKE)
- Strong communication and coding skills
- Proactive and positive attitude
Preferred Qualifications
- 8+ years of professional software engineering experience
- Prior experience in enterprise software industry
- Familiarity with authentication and authorization best practices and Knowledge of common authentication technologies including OAuth, SAML
- Familiar with common security best practices,data governance, architecture design and implementation.
The salary range for this position based in the San Francisco Bay Area is $180,000.00 - $230,000.00. All offers include equity compensation in the form of employee stock options.
If you're a recent university graduate, please submit your application via the Recent University Graduate opening.