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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Infrastructure Security Engineer - **Company:** Ridgeline, Inc. - **Location:** United States - **Experience:** Expert - **Salary:** $186,000 - $256,000 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Amazon S3, Cloud Computing Security, Continuous Integration, Persistent Data Structure, Data Security, Amazon DynamoDB, Monitoring of Systems, Identity and Access Management, Intrusion Detection and Prevention, Python (Programming Language), Key Management, Cloud Services, TypeScript, Policy as Code, Load Balancing, Amazon Virtual Private Cloud (VPC), Kotlin, Infrastructure Automation Frameworks, Cloudwatch, Terraform, Serverless Computing - **Published:** November 13, 2026 - **Apply:** https://startup.jobs/staff-infrastructure-security-engineer-ridgeline-10751203 ## About the Role * 8+ years of relevant experience in cloud security or platform engineering, including independently defining and executing complex projects from planning to production and leading initiatives across multiple teams. * Expert proficiency in at least one language (Python strongly preferred; Go, Kotlin or TypeScript a plus). * Experience with AWS, especially in the following areas: * Identity and Access Management (IAM, Orgs & SCPs, Identity Center) * Networking (VPC, Security Groups, Transit Gateway, Load Balancers) * Compute (EKS) * Data Persistence (S3, Aurora, DynamoDB) * Logging & Monitoring (CloudTrail, CloudWatch) Recognized expert on security in AWS and in most cloud security specialties, with expert knowledge of identity, detection, networking, data security, container and serverless, and governance. Demonstrated success in designing, implementing, and scaling access management strategies and policy frameworks (IAM/SCPs). Deep understanding of cloud workload protection, infrastructure monitoring, and threat detection in AWS-native environments, including how to find risks that tooling misses (identity chaining, cross-account lateral movement, control plane and data plane separation failures, supply chain risks). Fluency with infrastructure-as-code (e.g., Terraform) and CI/CD practices. Experience leading high-impact cloud security incidents as technical lead or incident commander, and driving findings through to remediation. Experience building cloud security platforms, detection pipelines, or posture management at organizational scale, with a track record of reducing false positives. Experience designing AI-augmented security workflows or lightweight agents and automations, with sound judgment on responsible AI experimentation and data use. Strong written and verbal communication skills, with the ability to explain security tradeoffs clearly to engineers, product partners, and executive stakeholders. Trusted to challenge decisions and influence through technical credibility. Demonstrated ability to make sound architectural tradeoffs across multiple services, improve long-term code and system health, and align stakeholders when changes have cross-team impact. ## Description * Drive secure-by-default cloud architecture across product areas. Threat model new infrastructure designs and service adoptions, and define security requirements that eliminate risk classes before systems are built. * Identify complex cloud security risks that tooling misses, such as identity chaining, cross-account lateral movement, control plane and data plane separation failures, and supply chain risks. Perform variant analysis to eradicate risk classes across the cloud environment. * Design AI-augmented analysis workflows that combine manual expertise with automated detection to find risks at scale. * Lead high-impact cloud incidents as technical lead or incident commander. * Drive findings to remediation instead of only reporting them: assess real-world exploitability, calibrate risk honestly, and build systemic fixes that reduce the risk rate over time. Use AI to find patterns across historical findings that reveal systemic weaknesses. * Own or lead development of advanced cloud security platforms that scale across the organization, including guardrails and controls in AWS (e.g., SCPs, IAM boundaries, AWS managed security services, custom-built solutions, and policy-as-code). * Architect AI-powered detection and posture management pipelines that reduce manual effort while maintaining accuracy. Relentlessly reduce false positives so engineering teams trust the tools. * Embed security into CI/CD and infrastructure automation, ensuring reproducible, testable, and auditable deployments. * Lead the strategy for access management, least-privilege enforcement, encryption/key management, and runtime protections across the platform. * Build and champion frameworks for secure platform integrations with third-party cloud services and internal tools. * Shape cloud security decisions across multiple engineering organizations. Partner with Staff+ engineers and platform teams on design, not only audit sign-off, and influence through technical credibility rather than policy mandates. * Define and execute complex cross-functional projects from planning to production, deliver within deadlines, manage expectations when plans change, and prioritize work that spans multiple cycles. * Set team standards for effective and responsible use of AI in cloud security workflows, including responsible experimentation and data use. Build lightweight agents and automations that accelerate team outcomes. * Think creatively, own problems, seek solutions, and communicate clearly along the way.