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Kai Cyber

Agentic AI platform for IT/OT defense

Senior Backend Cloud Engineer

Backend EngineeringConfirmed live in the last 24 hours
Full-timeSan Jose, CA, USANo salary listedIn-person

About the Job

Requirements

  • Seven or more years of experience as a cloud or backend engineer.
  • Experience designing and building microservices in a production cloud environment.
  • Strong understanding of distributed systems, including fault tolerance, consistency, and scalability at production scale.
  • Strong experience designing APIs and building asynchronous systems with robust error handling.
  • Hands-on experience with AWS, including serverless and cloud-native architectures.
  • Experience with Azure services and Infrastructure as Code tools, such as API Management, Azure Functions, Azure SQL Database, Cosmos DB, Azure Active Directory, Bicep, or Terraform.
  • Familiarity with data pipelines and cloud-native data streaming tools such as Kinesis.
  • Strong Python experience for backend services, automation, and tooling.
  • Golang development experience for backend services.
  • Experience with AWS services and Infrastructure as Code tools, such as API Gateway, Lambda, RDS, DynamoDB, IAM, and CDK.
  • Knowledge of observability, tracing, and system performance best practices for distributed backend systems.
  • Ability to collaborate with distributed teams.

Responsibilities

  • Collaborate with cross-functional teams to build cloud backends and data pipelines.
  • Design, build, and own microservices and distributed backend systems from architecture through deployment and production operations.
  • Lead technical delivery from architecture and design through implementation, testing, deployment, and operations.
  • Work with product and design teams to deliver performant and reliable backend services and APIs.
  • Champion software development best practices, including continuous integration and continuous delivery, Infrastructure as Code, observability, and test automation.
  • Ensure reliability, scalability, and maintainability of backend and cloud systems at production scale.
  • Mentor engineers and foster a culture of ownership, learning, and continuous improvement within the engineering team.

Desired Qualifications

  • Experience with data streaming tools such as Kafka.
  • Experience operating at scale with high-throughput, data-intensive, or large-scale distributed systems.
  • Cybersecurity domain experience, including identity and access management, access control, security-adjacent products, or building for security teams.
  • Experience designing access control systems such as role-based access control.
  • Experience with version control, continuous integration and continuous delivery, and build systems such as GitHub Actions.
  • Familiarity with compliance and security standards such as ISO 27001, SOC 2, GDPR, or CPRA in cloud environments.

About the Company

Kai Cyber

Agentic AI platform for IT/OT defense

Kai Cyber builds an agentic AI platform that autonomously runs threat intelligence, exposure management, detection, and response across IT and operational-technology environments. Its main product uses software agents that reason and act at machine speed to replace fragmented security tools and manual workflows. The platform integrates threat intelligence, exposure management, detection, and response into a unified agent-based system, operating across enterprise IT and OT layers. Kai differentiates itself by automating decision-making and actions at scale with autonomous agents, aiming to cover both IT and OT environments rather than relying on separate tools or manual processes. The company’s goal is to move security from reactive alerts and stitched tools to proactive, agent-driven defense that can scale globally and protect large customers in industries such as energy, pharmaceuticals, automotive, and hospitality.

Company size
51-200
Company stage
Late Stage VC
Total funding
$125M
Headquarters
San Jose, CA
Founded
2025

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