Senior Software Engineer, Security

Responsibilities

• Design, build, and deploy scalable services, platforms, and tools for product security controls, PKI, and Secrets Management
• Implement automation to eliminate manual security risk remediation and prevention
• Maintain robust PKI and Secrets Management solutions to secure infrastructure and identities
• Develop data pipelines to collect and manage security telemetry across IAM, log streams, and vulnerability scanners
• Build metrics engines and real-time dashboards for continuous visibility into technical risk posture
• Partner with platform engineering and security experts to deliver durable operational solutions

Requirements

• Bachelor’s degree in Computer Science, Information Security, or equivalent experience
• 5+ years of professional software development experience, specifically with Go
• 3+ years of experience deploying and managing Kubernetes clusters in production
• Experience building high-QPS, critical distributed software applications or microservices
• Strong hands-on experience with major public cloud providers like AWS or GCP
• Familiarity with modern CI/CD pipelines and Infrastructure-as-Code (IaC) tools
• Experience with structured data flows, event-driven architectures, and API integrations

Preferred Qualifications

• Familiarity with SOC 2 or ISO 27001 compliance models
• Experience with cloud-native streaming and event infrastructure
• Strong debugging and systems-level troubleshooting skills in public cloud networks
• Experience with HashiCorp Vault or similar PKI and Secrets Management tools

Benefits

• Competitive compensation and equity packages (RSUs)
• Comprehensive health, dental, and vision insurance
• 401(k) retirement plan with up to 4% company match
• Paid parental leave and volunteer time off
• Professional development and tuition reimbursement
• Daily meals allowance and cell phone stipend

About the Company

Crusoe is a vertically integrated AI infrastructure company that owns and operates each layer of the stack to power ambitious AI workloads through an energy-first approach.