Senior Security Engineer - Infrastructure

Ridgeline•Reno, NV

9d•Hybrid

About The Position

Ridgeline is seeking an experienced Infrastructure Security Engineer to play a key role in securing Ridgeline’s cloud environments. This role involves ownership over security for specific platforms and services, defining and implementing cloud security best practices, and sharing these practices with peers. The engineer will ensure cloud development, deployment, and methodologies comply with industry standards and regulations, requiring close collaboration with Engineering/DevOps, Product Management, and Technology organizations. The position emphasizes both hands-on security work and educating others on cloud security, fostering a culture where security is a shared responsibility and an integral part of the engineering philosophy.

Requirements

Bachelor’s degree in Computer Science or equivalent practical experience.
5+ years of relevant experience in cloud security or platform engineering, including experience independently leading complex initiatives and collaborating effectively with adjacent teams.
Advanced proficiency in at least one high-level language (Python strongly preferred; Kotlin or TypeScript a plus).
Experience with AWS, especially in Identity and Access Management (IAM, Orgs & SCPs, Identity Center), Networking (VPC, Security Groups, Transit Gateway, Load Balancers), Compute (Lambda, ECS or EKS, Fargate), Data Persistence (S3, Aurora, DynamoDB), and Logging & Monitoring (GuardDuty, CloudTrail, CloudWatch).
Demonstrated success in designing and implementing access management strategies and policy frameworks (IAM/SCPs).
Strong understanding of cloud workload protection, infrastructure monitoring, and threat detection in AWS-native environments.
Fluency with infrastructure-as-code (e.g., Terraform) and CI/CD practices.
Strong written and verbal communication skills, with the ability to explain security tradeoffs clearly to engineers, product partners, and stakeholders.
Demonstrated ability to make sound architectural tradeoffs within services, improve long‑term code and system health, and collaborate with adjacent teams when changes have cross‑team impact.

Nice To Haves

Familiarity with key concepts in network security: firewalls, IDS/IPS, and traffic segmentation.
Contributions to security tooling, open source projects, or published security research.
Experience with AI or LLM tools in a development or security context.

Responsibilities

Independently perform cloud architecture and network security reviews for product areas in AWS and select third‑party cloud services, and help embed security‑by‑design practices within teams.
Develop and maintain scalable security tooling, with an emphasis on leveraging AI augmented tooling.
Contribute to the design and implementation of guardrails and controls in AWS environments (e.g., SCPs, IAM boundaries, AWS managed security services, custom-built solutions, and policy‑as‑code), and own guardrails for specific domains or services.
Monitor and enhance workload security, integrating detection and alerting into observability systems.
Build and champion frameworks for secure platform integrations with third-party cloud services and internal tools.
Embed security into CI/CD and infrastructure automation, ensuring reproducible, testable, and auditable deployments.
Implement and improve access management, least‑privilege enforcement, encryption/key management, and runtime protections within services.
Utilize AI tools and platforms to improve security operations and development workflows; actively contribute to AI-integrated processes and team efficiencies.
Think creatively, own problems, seek solutions, and communicate clearly.
Partner with other engineers through code reviews, pairing, and design consultation.
Collaborate with engineering, product, and compliance partners to define and deliver security requirements for supported services, and provide clear technical guidance during design and implementation.