Senior Cloud Security Engineer

Ridgeline•Reno, NV

20h•$145,000 - $167,500•Hybrid

About The Position

Senior Cloud Security Engineer (L3) Location: San Ramon, CA; Reno, NV Are you passionate about building secure, scalable systems in the cloud? Do you enjoy collaborating across teams to embed security at every stage of development? Are you excited to contribute your cloud security expertise to an environment that values innovation, collaboration, and continuous improvement? If so, we invite you to be a part of our innovative team. As a Senior Cloud Security Engineer at Ridgeline, you’ll take the lead in securing key components of our platform and cloud infrastructure. You will work closely with Engineering, DevOps, Product, and Compliance to embed cloud security practices, enable secure-by-design development, and implement scalable, resilient security guardrails. Your contributions will help ensure our AWS environments and services are safe, compliant, and efficient. You'll also explore and apply emerging AI tools like GitHub Copilot and ChatGPT to enhance our workflows and capabilities in innovative ways. At Ridgeline, how we work matters as much as what we build. Ridgeliners act like owners, choose growth over comfort, and communicate with transparency. We assume positive intent, bias toward action, and bring solutions—not just problems. We celebrate wins, learn from setbacks, and thrive in a resilient, collaborative, high-performing culture. If this excites you, we’d love to meet you. You must be work authorized in the United States without the need for employer sponsorship.

Requirements

5+ years of experience in cloud security or platform engineering
Bachelor’s degree in Computer Science or equivalent practical experience
Proficiency in a high-level language such as Python (preferred), Kotlin, or TypeScript
Hands-on experience with AWS services including IAM, VPC, ECS/EKS, Lambda, S3, and CloudWatch
Expertise in designing and applying IAM and SCP policies
Knowledge of cloud workload protection, monitoring, and threat detection in AWS
Experience using Terraform and infrastructure-as-code practices
Clear and effective communication skills, especially around security tradeoffs and technical design
Demonstrated ability to lead projects, work independently, and contribute cross-functionally

Nice To Haves

Familiarity with network security principles such as traffic segmentation, firewalls, IDS/IPS
Contributions to open source security tooling or research
Experience applying AI or LLM tools in security or engineering workflows

Responsibilities

Perform security and architecture reviews of AWS infrastructure and third-party cloud services
Develop scalable security tooling and automation, incorporating AI-augmented platforms where applicable
Design and maintain security guardrails such as SCPs, IAM boundaries, and policy-as-code
Integrate detection and alerting into observability systems to enhance runtime security monitoring
Embed security into CI/CD pipelines, infrastructure automation, and internal tooling
Establish frameworks for secure integration with third-party services and internal platforms
Improve identity and access management, encryption, and least-privilege controls
Collaborate with engineering, product, and compliance teams to align on security requirements
Provide support and technical guidance through code reviews, pairing, and consultation
Encourage a collaborative, solutions-focused approach to securing services at scale