Cloud Security Engineer

Confirmed live in the last 24 hours

Applied Intuition

Compensation

$125,000 - $160,000/year

Sunnyvale, California, United States

Remote

Posted March 13, 2026

Job Description

About Applied Intuition

Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co.

We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments.

About the role

We are seeking a highly focused Cloud Security Engineer whose role will be fundamentally driven by our environment architecture and deployment methodology. Working alongside our Corporate Security & Infrastructure team, you will play a crucial role in securing our infrastructure across diverse multi-cloud environments (AWS, Azure, GCP, OCI), with a heavy emphasis on Kubernetes cluster hardening. You will establish robust guardrails, enforce Identity and Access Management policies, and maintain our Cloud Security Posture Management (CSPM) to prevent insecure deployments and ensure continuous compliance.

At Applied Intuition, you will:

Cloud Infrastructure Security: Securely deploy and maintain infrastructure across diverse multi-cloud environments (AWS, Azure, GCP, OCI), establishing cloud-specific robust guardrails to prevent insecure deployments and configurations.
Kubernetes Cluster Hardening: Implement and enforce security best practices and policies specifically tailored for Cloud native Kubernetes clusters, including granular Role-Based Access Control (RBAC), network policies, and admission controllers.
Identity & Access Management (IAM): Develop, implement, and enforce robust security policies and procedures specifically related to user authentication and authorization across all systems. Manage user identities (traditional active directory, email platforms, cloud solutions) and rigorously enforce the principle of least privilege on Cloud, cloud service, and container levels.
Container Security: Ensure the security of container images, registries, and runtime environments through the effective use of tools like Docker, Podman, and various container scanning solutions.
Infrastructure-as-Code (IaC) Security: Manage infrastructure and security policies through version-controlled Git repositories using tools such as Terraform, CloudFormation, or AWS CDK to ensure consistent, auditable, and secure deployments.
Cloud Security Posture Management (CSPM): Maintain CSPM tools such as Wiz to continuously detect and remediate misconfigurations and compliance drifts across the cloud footprint.
Compliance Automation: Automate compliance checks and generate necessary evidence for audits across the multi-cloud environment, streamlining regulatory adherence.
Runtime Security: Monitor and protect running applications and containers from threats during their operational lifecycle.

We're looking for someone who has:

5+ years of industry experience in software engineering or security engineering, with a focus on designing and building secure, production-grade cloud systems.
Extensive, demonstrable experience with Kubernetes from a security perspective (e.g., securing containerized workloads, enforcing RBAC, and cloud-native secret m

pythongorustawsgcpazurekubernetesdockeraibackend