Senior Security Engineer, Enterprise Security
New
D
Databricks, Inc.Enterprise security
Remote - California. While candidates in the listed location(s) are encouraged for this role, candidates in other US locations will be considered.Full-TimeSenior
SalaryZone 1 Pay Range $167,800 — $230,800 USD; Zone 2 Pay Range $151,000 — $207,700 USD; Zone 3 Pay Range $142,600 — $196,150 USD; Zone 4 Pay Range $134,200 — $184,600 USD
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Job Details
- Experience
- 7+ years of experience in security engineering, enterprise security, infrastructure security, cloud security, or a related field.
- Required Skills
- PythonOAuthGoTerraform
Requirements
- Have 7+ years of experience in security engineering, enterprise security, infrastructure security, cloud security, or a related field.
- Have hands-on experience implementing, integrating, testing, and maintaining security controls in production enterprise environments.
- Bring programming and automation skills using Python, Go, or comparable languages.
- Have experience with API integrations, infrastructure-as-code, and version control.
- Have experience engineering controls in one or more areas: identity, endpoint, SaaS, cloud, network, or data protection.
- Understand authentication, authorization, SSO, OAuth, service identities, API security, secrets management, and least-privilege principles.
- Have experience developing automated security checks, configuration validation, drift detection, and remediation workflows.
- Have hands-on experience building or integrating AI-assisted or agent-based security automation, including access controls, testing, monitoring, and auditability.
- Be able to translate approved security requirements into preventive controls and validate control effectiveness.
- Have experience with automated testing, CI/CD, error handling, and operational monitoring.
- Be able to independently deliver security engineering improvements and collaborate with Security, IT, and platform owners.
Responsibilities
- Implement and improve preventive security controls across enterprise systems.
- Partner with security domain leads, IT, and platform owners to implement access, configuration, endpoint, network, and data-protection guardrails.
- Develop reusable technical implementations and secure configuration patterns.
- Build and maintain security automation using Python, Go, APIs, Terraform, or comparable technologies.
- Automate configuration checks, access validation, evidence collection, and remediation workflows.
- Develop and integrate AI-assisted and agent-based security automation with appropriate access controls, testing, and auditability.
- Integrate security platforms and enterprise systems to support review, approval, and enforcement workflows.
- Develop automated testing, monitoring, and validation capabilities for security controls.
- Identify control gaps, configuration drift, and ineffective enforcement, and partner with system owners on remediation.
- Troubleshoot implementation challenges involving authentication, API integrations, permissions, configurations, and security tooling.
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