Senior DevOps Engineer

Inc. (kai)
San Jose, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

San Jose, United States of America

Tech stack

Amazon Web Services (AWS)
Azure
Bash
Cloud Computing
Cloud Computing Security
Configuration Management
Computer Security
Computer Programming
Continuous Delivery
Continuous Integration
Linux
DevOps
Distributed Systems
Github
Identity and Access Management
Python
Key Management
Network Architecture
Performance Tuning
Zero Trust Network Access
Software Deployment
Data Logging
Scripting (Bash/Python/Go/Ruby)
Reliability of Systems
Cloudformation
Gitlab-ci
Kubernetes
Infrastructure Automation Frameworks
Information Technology
Terraform
Dynatrace
Devsecops
Docker
Jenkins
Vulnerability Analysis

Job description

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 security-driven environment where your decisions directly impact the products protecting some of the world's largest enterprises.

You will play a key role in embedding security into the DevOps lifecycle (DevSecOps), improving system resilience, and supporting mission-critical applications.

WHAT YOU'LL DO

  • Design, implement, and manage cloud infrastructure (AWS, Azure, or GCP) with a focus on security and scalability
  • Design and own network architecture - including environment segregation, service communication patterns, and infrastructure security design in partnership with the security team
  • Automate infrastructure using Infrastructure as Code (Terraform, CloudFormation, etc.)
  • Build and maintain CI/CD pipelines, including GitOps-based continuous deployment using ArgoCD, to enable rapid and secure software delivery
  • Own and optimize the observability stack - metrics, logs, and distributed tracing - as a highest-priority investment in system visibility, incident response, and reliability
  • Collaborate with engineering and security teams to enforce DevSecOps best practices and embed security into every stage of the delivery lifecycle
  • Work with the security team to balance deployment speed with security constraints across environments, solving the security-speed tension in POC and production deployments
  • Collaborate closely with engineering teams to increase developer velocity - faster code pushes, cleaner CI/CD, and fewer deployment blockers
  • Ensure systems meet security and compliance standards (e.g., SOC 2, ISO 27001, FedRAMP)
  • Integrate security tools (e.g., vulnerability scanning, secrets management) into pipelines
  • 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

Requirements

  • Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience)

  • 7+ 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)

  • GitOps and continuous deployment tooling - ArgoCD or equivalent

Experience designing network architecture - environment segregation, service communication, and infrastructure security patterns

Experience with infrastructure automation and configuration management

Proficiency in scripting/programming (Python, Bash, or Go)

Deep understanding of Linux systems and networking

Experience implementing and optimizing monitoring, logging, and observability solutions, including distributed tracing

Strong problem-solving skills in complex distributed systems - CI/CD pipeline optimization, system reliability, performance tuning, and cross-team collaboration

Cloud security mindset - understanding of cloud security, compliance, and DevSecOps practices

Preferred:

  • 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

Benefits & conditions

  • 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.

About the company

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 human speed bottlenecks. The Kai Agentic 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.

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