Senior Backend Cloud Engineer

Kai

San Jose, USonsitePosted Feb 24, 2026
Posting intelligenceMay be filled, listed long agoReposted 637×, possible evergreen/ghost posting

Skills

terraformdynamodbgogithubpythonazurekafkacicdaws

About the role

Responsibilities

Collaborate with cross-functional teams, building 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 to 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 CI/CD, 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

Must Haves

7+ years of experience as a cloud or backend engineer

Experience designing and building microservices in a production cloud environment

Strong understanding of distributed systems — 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, or Bicep/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

Excellent communication skills and the ability to collaborate with distributed teams

Nice to Haves,

Experience with data streaming tools such as Kafka

Experience operating at scale — high-throughput, data-intensive, or large-scale distributed systems

Cybersecurity domain experience — IAM, access control, security-adjacent products, or experience building for security teams

Designing access control systems, such as Role-Based Access Control (RBAC)

Experience with version control, CI/CD, and build systems (e.g., GitHub Actions)

Familiarity with compliance and security standards such as ISO 27001, SOC 2, GDPR, or CPRA in cloud environments

Startup experience and hustle

Why You'll Succeed

You take ownership end-to-end — from architecture and design through deployment and production support

You move fast without breaking things — high-velocity delivery with a track record to prove it

You can mentor and elevate the engineers around you

You thrive in ambiguity and can independently execute complex tasks with minimal direction

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 AI Platform replaces fragmented, human-limited workflows with agentic AI systems that continuously contextualize, assess, reason, and execute security work at machine speed - making human defenders, superhuman.

Why Join 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.

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