Senior Cloud Security Engineer
Climb Channel Solutions NA
AWSAzureCloudCyber SecurityGoogle Cloud Platform
Software security engineer, embedded
Writer
full-time
Posted on:
Location: California • 🇺🇸 United States
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
CloudDistributed SystemsGoPython
About the role
- Protect customers at scale — Build fraud detection, rate limiting, abuse prevention, and LLM interaction controls (prompt injection prevention, output filtering).
- Own customer identity security — Design and implement authentication and authorization systems, protecting customer data and AI service interactions.
- Engineer security platforms — Create tools and dashboards that automate repetitive security tasks, track vulnerabilities, and enable cross-team security efficiency.
- Build reusable security frameworks — Develop secure-by-default APIs, SDKs, cryptographic libraries, and communication frameworks for company-wide use.
- Strengthen platform security — Implement multi-party authorization, secrets management, audit logging, and zero-trust networking components.
- Empower developers — Deliver self-service security tools and frameworks that integrate seamlessly with engineering workflows.
- Lead technically — Drive the architecture of security systems, mentor engineers, review designs, and influence security strategy across the organization.
Requirements
- 8+ years in software engineering, building production systems.
- 5+ years developing security-focused tools, libraries, or platforms.
- Proven success building systems adopted by hundreds of engineers.
- Experience with fraud detection or abuse prevention at scale.
- Deep expertise in distributed systems and API design.
- Strong programming skills in Go, Python, or similar languages.
- Expert in software design patterns and scalable architectures.
- Proficiency with authentication and authorization protocols (OAuth, SAML, OIDC).
- Understanding of LLM security challenges and mitigation strategies.
- Experience building high-performance, customer-facing systems.
- Hands-on with data processing, analytics, and automation platforms.
- Track record of 90%+ adoption of security tools by engineering teams.
- History of reducing security friction through automation and thoughtful design.
- Proven ability to scale security systems to millions of users.
- Strong product sense and empathy for customer experience.
- Preferred: Background in fraud or risk engineering at scale.
- Experience with AI/ML-specific security challenges.
- Knowledge of financial security and compliance standards.
- Contributions to open-source security projects.
- Experience at consumer-facing technology companies.
