Product Security Engineer

Databricks

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United States First seen 3 weeks ago Last seen 6 hours, 32 minutes ago Greenhouse

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Job Description

AI Summary

• Manages security throughout the software development lifecycle at Databricks by conducting threat modeling, design reviews, code reviews, and exploit writing to prevent vulnerabilities in production. • Supports incident response and vulnerability management programs, evaluates SAST/DAST tool findings, and maintains automation frameworks for security compliance (FedRamp, PCI, HIPAA). • Requires 2-4 years of threat modeling experience, proficiency in at least two security domains (web, cloud, systems, or cryptography), and programming skills in Python/Java/Scala/JavaScript. • Must have exploit writing and scripting/automation skills, with fuzzing experience and code review capabilities to identify security defects. • Fully remote position based anywhere in the United States, working with a global team across US and EMEA locations.

RDQ326R24 - This role can be based remotely anywhere in the United States.

The Product Security Team's mission is to Left-shift SDLC (Security Development Lifecycle) processes for ALL code written in Databricks (for Customer Use or Supporting Customer internally) to reduce the likelihood of introducing new vulnerabilities in production and minimize the count and effect of externally identified vulnerabilities on Databricks Services.

You will be an individual contributor on the product security team at Databricks, managing SDLC functions for features and products within Databricks. This would include, but is not limited to, security design reviews, threat models, manual code reviews, exploit writing and exploit chain creation. You will also support IR and VRP programs when there is a vulnerability report or a product security incident. You will work with a global team, spread across various locations in the US and EMEA.

The impact you will have:

Full SDLC Support for new product features being developed in ENG and non-ENG teams. This would include Threat Modeling, Design Review, Manual Code Review, Exploit writing, etc.
Work with other security teams to provide support for Incident Response and Vulnerability Response as and when needed.
Work with the results of SAST tools to help evaluate and identify false positives and file defects for real issues.
Work on DAST tools and related automation for auto-assessment and defect filing.
Maintain the automation framework and add new features as needed to support different security compliances that Databricks may want to get into – FedRamp, PCI, HIPPA, etc.
Prioritize security from a risk management perspective, rather than an absolute textbook version.
Help develop and implement security processes to improve the overall productivity of the product security organization and the SDLC process in general

What we look for:

2-4 years Experience with the Threat Modeling process and ability to find design problems based on a block diagram of data flow.
Understanding on at least two of the following domains - Web Security, Cloud Security, Systems Security and Applied Cryptography.
Proficient with one or more of Programming languages ( Python/Java/Scala/JavaScript) and ability to read code to identify security defects.
Skilled in scripting and automation on exploits
Fuzzing skills are good to have.
Exploit writing skills is a positive and greatly required.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected 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 anticipated utilizing 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

$190,000—$261,250 USD

Zone 2 Pay Range

$171,000—$235,200 USD

Zone 3 Pay Range

$161,500—$222,100 USD

Zone 4 Pay Range

$152,000—$209,000 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.

Benefits

At 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.

Skills

java javascript python go

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Job Information

Company:
Databricks
Location:
United States
Job Type:
Internship
Experience Level:
Mid
Source:
Greenhouse
Status:
Active

Activity Score

66 /100

Likely Active (66)

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