Senior DevOps Engineer

Kai is the AI company rebuilding cybersecurity for the machine-speed era. Founded by second time founders and trusted by Fortune 500 enterprises, Kai is building a future where security has no categories, no silos, and no humanspeed bottlenecks. The KaiAgentic Platform replaces fragmented, human-limited workflows with agentic AI systems that continuously contextualize, assess, reason, and execute security work at the speed of thought-making human defenders, superhuman. Why Kai? Well-funded: With $125M raised, we have the capital, runway, and resolve to rebuild cybersecurity from first principles. Proven: We’ve earned the trust of Fortune 500 and Global 1000 companies, and we’re just getting started. Their confidence in Kai reflects what we’ve built: an AI-powered cybersecurity platform that performs at the scale and speed the enterprise demands. Experienced founders: Our founding team consists of second-time entrepreneurs, each with over 20 years of experience in the cybersecurity industry. Their proven expertise and vision drive our ambitious goals. World-class leadership team: Our Heads of AI, Engineering, and Product bring extensive experience from some of the world’s most influential companies, ensuring top-tier mentorship, direction, and vision. Frontier AI Applied Research Team: Our researchers operate at the leading edge of agentic AI systems, translating breakthrough capabilities into real-world cybersecurity applications. Generous compensation: We offer highly competitive salaries, equity options, and a supportive work environment. Your contributions will be valued and rewarded as we grow together. Kai is seeking a highly skilled Senior DevOps Engineer to design, build, and maintain secure, scalable, and reliable infrastructure for our cybersecurity platform. This role bridges development, operations, and security, ensuring fast and secure delivery of software in a compliance-driven environment. You will play a key role in embedding security into the DevOps lifecycle (DevSecOps), improving system resilience, and supporting mission-critical applications. Key Responsibilities Design, implement, and manage cloud infrastructure (AWS, Azure, or GCP) with a focus on security and scalability Build and maintain CI/CD pipelines to enable rapid and secure software delivery Automate infrastructure using Infrastructure as Code (Terraform, CloudFormation, etc.) Implement monitoring, logging, and alerting systems to ensure high availability and performance Collaborate with engineering and security teams to enforce DevSecOps best practices Ensure systems meet security and compliance standards (e.g., SOC 2, ISO 27001, FedRAMP) Troubleshoot production issues and lead root-cause analysis for complex incidents Optimize system performance, reliability, and cost efficiency Mentor junior engineers and promote DevOps culture across teams Integrate security tools (e.g., vulnerability scanning, secrets management) into pipelines Required Qualifications Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience) 7–8+ years of experience in DevOps, SRE, or platform engineering Strong experience with: Cloud platforms (AWS, Azure, or GCP) Containers and orchestration (Docker, Kubernetes) CI/CD tools (Jenkins, GitLab CI, GitHub Actions) Proficiency in scripting/programming (Python, Bash, or Go) Experience with infrastructure automation and configuration management Deep understanding of Linux systems and networking Experience implementing monitoring and observability solutions Preferred Qualifications Experience in cybersecurity or DevSecOps environments Familiarity with zero-trust architecture and identity/access management Knowledge of compliance frameworks (FedRAMP, NIST, SOC 2) Experience with secrets management tools (Vault, AWS Secrets Manager) Background in incident response and security operations Key Skills Automation and Infrastructure as Code Cloud security and compliance CI/CD pipeline optimization System reliability and performance tuning Cross-team collaboration Problem-solving in complex distributed systems What Success Looks Like in This Role Secure, automated deployment pipelines with minimal manual intervention Highly available and resilient infrastructure Reduced deployment time and incident frequency Strong alignment between engineering, operations, and security #J-18808-Ljbffr