Job description
RDQ226R609 - This role can be based anywhere in the United States.
At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions.
As a member of the Security Continuous Monitoring team, you will help build and scale Databricks Security systems built on top of the Databricks platform. You will design, test, and implement data pipelines to assess security configurations of Cloud, SaaS and on-premise tooling. You will design and deploy robust supporting security tools for managing and assessing security state, integrate with third-party applications, and interact with cloud APIs (AWS, Azure, GCP, Terraform). You will plan and lead, end-to-end, projects supporting data collection and integration with vulnerability and threat detection efforts.
You will be an individual contributor on the Security Continuous Monitoring team at Databricks, reporting to the Director of Continuous Monitoring.
What we look for:
- 8+ years of software engineering experience, with 4+ years specifically in security-related engineering (preferred)
- 6+ years of experience building large scale distributed systems with a focus on reliability and observability
- Experience with Python, Git/GitHub, and CI/CD automation, and Terraform
- Expertise in securing at least one major cloud environment (AWS, Azure, GCP)
- Experience with software security and systems that handle sensitive data. FedRAMP Moderate/High experience preferred.
- Experience with data correlation engine preferred
- Excellent communication skills, with the ability to collaborate effectively across teams and present complex ideas clearly to stakeholders at all levels.
- A leadership mindset with the ability to mentor peers, drive strategic initiatives, and influence the organization’s security direction.
- Bias to action and passion for delivering high-quality solutions.
- Bachelor’s degree in Computer Science or related field, or equivalent experience.
#li-remote
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks utilizes the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
Zone 1 Pay Range
$178,200—$273,200 USD
Zone 2 Pay Range
$160,300—$245,800 USD
Zone 3 Pay Range
$151,400—$232,200 USD
Zone 4 Pay Range
$142,500—$218,500 USD
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.
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.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer’s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
