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 management).

Implemented AI to rapidly identify, validate, and remediate security issues without impact.

Deep operational security experience with AWS (mandatory), with highly preferred practical experience deploying and securing

infrastructure across Azure, GCP, or OCI.

Proficiency in Infrastructure-as-Code (IaC) tools such as Terraform, CloudFormation, or AWS CDK to deploy and manage

environments.

Hands-on expertise in configuring, monitoring, and driving remediation through Cloud Security Posture Management (CSPM)

platforms like Wiz.

A strong background in designing and enforcing complex Identity & Access Management (IAM) and least-privilege architectures

across both multi-cloud and traditional on-premises directory environments.

Experience working with container security, image scanning, and runtime protection tools.

NICE TO HAVE:

Advanced industry certifications related to cloud and container security (e.g., AWS Certified Security – Specialty, Certified

Kubernetes Security Specialist (CKS), Certified Kubernetes Administrator (CKA)).

Strong proficiency in programming or scripting languages commonly used for security automation and backend development (e.g.,

Go/Golang, Python, or C++).

Prior experience automating compliance frameworks and generating audit evidence across a multi-cloud footprint.

Experience securing and operating in air-gapped or highly constrained on-premises computing environments.

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component

of the total compensation package, which may also include equity in the form of options and/or restricted stock units,

comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match,

learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of

employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position.

The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including

experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level

and scope of the position.

Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every

qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other

roles.

Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that,

as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these

laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their

status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their

race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime

contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race,

color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties

also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to

Subpart A), relating to the notice of employee rights under federal labor laws.

Roll

Cloud Security Engineer

Plats

Sunnyvale

Publicerad

13 mars

Sista ansökningsdag

6 september

Källa

Arbetsgivarens hemsida

Taggar för det här jobbet

Python AWS Azure GCP Docker Kubernetes AI Go Rust Terraform

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AT APPLIED INTUITION, YOU WILL: * Design and develop scalable robust telematics backend systems that process high-volume, real-time telemetry data streams from millions of connected devices using modern microservices architecture * Architect and implement robust data processing pipelines using technologies like Apache Kafka, Apache Spark, and stream processing frameworks to handle telematics data ingestion, transformation, and analytics * Develop cloud-based data storage and analytics solutions leveraging distributed databases, data warehouses, and time-series databases to support real-time monitoring and historical analysis * Implement device-to-device (D2D) communication systems that enable direct data exchange between connected devices, reducing latency and improving network efficiency through peer-to-peer connectivity * Collaborate with cross-functional teams including data scientists, DevOps engineers, product managers, and frontend developers to deliver comprehensive telematics solutions * Work on advanced analytics and machine learning integration to derive actionable insights from telematics data for predictive maintenance, risk assessment, and behavioral analysis WE'RE LOOKING FOR SOMEONE WHO HAS: * 4+ years of experience in backend software development with strong proficiency in languages like Go, C++, Python, and experience with cloud-native application development * Experience with cloud platforms and services such as AWS, Azure, or Google Cloud Platform, including containerization with Docker and orchestration with Kubernetes * Knowledge of data processing and streaming technologies including Apache Kafka, Apache Spark, MQTT, NATS, WebRTC, gRPC, and experience building high-throughput data pipelines * Experience with database technologies including both SQL and NoSQL databases, data warehousing solutions, and time-series databases for handling large-scale telemetry data * Understanding of API design and development with experience in RESTful services, microservices architecture, and API security best practices * Knowledge of DevOps practices including CI/CD pipelines, infrastructure as code, monitoring, and automated testing frameworks * Strong problem-solving skills and ability to work in fast-paced cloud development environments with mission-critical, high-availability systems NICE TO HAVE: * Experience with real-time data processing and stream analytics platforms for handling continuous telematics data feeds * Knowledge of cloud security best practices including authentication, authorization, data encryption, and compliance with industry standards * Familiarity with IoT data protocols and experience integrating with various telematics data sources and third-party aggregators * Experience with monitoring and observability tools for tracking system performance, analyzing API usage patterns, and diagnosing issues in production environments * Knowledge of data visualization and business intelligence tools for creating dashboards and reports from processed telematics data * Experience with event-driven architecture and serverless computing for building scalable, cost-effective telematics solutions * Background in agile development methodologies and experience working in collaborative, cross-functional team environments * Understanding of automotive or transportation industry standards and experience with fleet management or logistics applications Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. 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