Senior Cloud Security Engineer

About the role

The Senior Cloud Security Engineer is responsible for defining and owning the technical architecture for CSPM tooling, automation platforms, and integration frameworks. They drive architectural decisions on platform extensibility, service boundaries, and data ownership, ensuring these systems scale reliably across thousands of cloud accounts and multiple business units. They also lead the technical design reviews and mentor engineers on the team, shaping the technical roadmap for AI-assisted security capabilities.

Responsibilities

• Defines and owns the technical architecture for CSPM tooling, automation platforms, and integration frameworks — ensuring they scale reliably across thousands of cloud accounts and multiple business units.
• Designs system-level patterns (event-driven pipelines, API contracts, data models) that other engineers build on — establishing the foundational approach for how security findings flow from detection through prioritization to remediation.
• Drives architectural decisions on platform extensibility, service boundaries, and data ownership — balancing near-term delivery against long-term maintainability as the program grows.
• Architects auto-remediation and shift-left enforcement systems that operate at org scale — designing for fault tolerance, auditability, and graceful degradation when upstream systems change.
• Evaluates and selects tooling, frameworks, and integration patterns that the broader team adopts — owning the technical standards for how CSPM systems connect to enterprise infrastructure (CI/CD, CMDB, ITSM, identity providers).
• Promotes alignment on shared interfaces, data contracts, and remediation workflows that reduce friction at organizational boundaries by partnering with engineering leadership across Platform, DevOps, SRE, and application security teams.
• Leads technical design reviews and mentors engineers on the team — raising the bar on code quality, system thinking, and operational readiness.
• Shapes the technical roadmap for AI-assisted security capabilities — evaluating where machine learning and LLM-based automation can meaningfully reduce risk or operational burden, and architecting the systems to deliver them.

Qualifications

• Minimum of five years related work experience required, with two years experience in cloud security preferred.
• Undergraduate degree in a related field or the equivalent combination of training and experience.
• Proficiency in Python, Go or TypeScript – production-grade, not just scripting.
• Strong background in distributed systems concepts: event-driven architectures, async processing, API design, observability.
• Hands-on experience across at least one of: AWS, GCP, Azure — at the level of org-wide account structures, landing zones, and cross-account security patterns and IAM at scale.
• Track record of influencing technical direction beyond your immediate team.