Systems Engineer (Okta) @ Databricks - San Francisco, CA 94105

While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations. Databricks is hiring an experienced Systems Engineer to report to Corporate Engineering managing critical Saas infrastructure and capabilities. This role is important to scaling and optimizing our business processes and infrastructure as we continue our hyper-growth. You will report to the Sr. Manager, Systems Engineering as part of the CIO's org. At Databricks Information Technology, we are a product led organization transforming the way we work from how easy it is to use our IT services to the applications we develop that help us scale seamlessly in face of incredible growth. The Corporate Engineering team builds / provides services and infrastructure that allow our bricksters to be successful. To accomplish this, the team is dedicated to the mission of ensuring that the underlying infrastructure is running smoothly and that systems and tools are working as expected. The impact you will have: You will work with different teams making sure that services we offer to the business are built for scale You will work closely with the global IT support team defining processes and configurations that improve data integrity and predictability across SaaS systems. You will provide Tier 3 support for IT support, partnering with IT support leads to understand trends and put solutions in place towards mitigating them through process or automation. You will work with internal IT teams to support and implement advanced configurations in applications such as Okta, Slack, Google Workspaces and Azure You will support New Hire automation to recommend feature enhancements both to user experience and supportability. You will help define Service level agreements and processes working with IT support to streamline escalations and improve stakeholder engagement with IT. You will contribute to developing IAC (Infrastructure as Code) around IaaS systems What we look for: 5+ years of experience or related experience administering Okta including advanced configurations such as OIDC/Oauth, SCIM, cross tenant federation, Okta Workflows, and APIs 5+ years of experience or related experience administering Google Workspaces including advanced configurations such as Security management, delegated authentication and scopes, vault (legal hold use cases), bulk transactions leveraging API. 3+ years of experience or related experience with Azure managing subscriptions and AAD. 3+ years of experience or related experience managing collaboration tools such as Slack 2+ years of experience programming in a language such as Python, node.js, golang required. Familiarity with APIs with a track record of leveraging them to improve efficiency through automation or data quality. About Databricks Want to help speed the development of medical breakthroughs? Make the next mode of transportation a reality? Or discover ways to reverse climate change? We're on a mission to help data teams solve the world's toughest problems. The opportunity is huge and Databricks has emerged as a leader. Thousands of enterprises — including Comcast, Virgin Hyperloop and H&M — already rely on us to power their businesses and we're just getting started. Now it's your turn - join us to grow your career and make an impact with some of the brightest minds in the industry. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. About Databricks Databricks is the data and AI company. More than 7,000 organizations worldwide — including Comcast, Condé Nast, H&M, and over 40% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems.