# Senior Platform Engineer (R5827)

**Company**: Shield AI
**Location**: San Diego, California
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: Full Time Employee
**Salary**: USD 141,000-212,000 per-year-salary
**Category**: Engineering
**Industry**: Technology

**Apply**: https://jobs.lever.co/shieldai/38e5f38c-8d3f-4210-8310-8688182dc182?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_81cefeff-ac6

## Description

Shield AI is seeking a Senior Cloud Platform Engineer to design, build, and operate the shared technology platforms that support its engineering, autonomy development, and enterprise operations environments.

As part of the Cloud & Infrastructure team within Enterprise Operations, this role will develop standardized infrastructure, automation, and developer-facing capabilities across Shield AI's public and private cloud environments.

## Responsibilities

- Design, build, and operate scalable platform infrastructure across Azure, AWS, and private cloud environments.

- Develop reusable infrastructure-as-code modules, automation frameworks, and self-service platform capabilities for engineering teams.

- Own platform initiatives from technical design and implementation through production operations and continuous improvement.

- Build and maintain container and Kubernetes platform capabilities, including deployment automation, configuration management, observability, and lifecycle management.

- Develop platform tooling and automation using technologies such as Terraform, Ansible, Python, and Go.

- Build standardized paved paths that simplify infrastructure provisioning, application deployment, and access to shared platform services.

- Establish and maintain platform standards for reliability, scalability, security, performance, and cost efficiency.

- Support capacity planning, performance tuning, vulnerability remediation, disaster recovery, and platform lifecycle management.

- Build and improve CI/CD pipelines, monitoring, logging, alerting, and other developer-facing platform services.

- Troubleshoot complex platform, infrastructure, and application integration issues and lead root-cause analysis.

- Develop and maintain architecture diagrams, technical documentation, operational procedures, and reusable implementation patterns.

- Evaluate emerging technologies and recommend solutions that improve automation, reliability, and developer productivity.

- Provide technical guidance to other engineers and contribute to platform architecture, standards, and roadmap decisions.

- Participate in an on-call rotation and scheduled after-hours maintenance as needed.

## Requirements

- 7+ years of experience in platform engineering, cloud infrastructure, DevOps, Site Reliability Engineering, or a related discipline.

- Experience designing and operating production infrastructure in Azure, AWS, or comparable public cloud environments.

- Strong experience developing reusable infrastructure-as-code modules and automation using tools such as Terraform and Ansible.

- Hands-on experience deploying and operating containerized workloads and Kubernetes-based platforms.

- Proficiency in Python, Go, or another programming language used to build platform tooling and automation.

- Experience building CI/CD pipelines, self-service infrastructure capabilities, or developer-facing platform services.

- Strong Linux systems administration experience, including deployment, configuration, troubleshooting, patching, and performance analysis.

- Working knowledge of cloud and enterprise networking, including VPCs/VNets, subnets, routing, VPNs, load balancing, DNS, and firewalls.

- Experience implementing monitoring, logging, alerting, and observability for production platforms.

- Understanding of platform security, identity and access management, vulnerability remediation, and secure configuration practices.

- Ability to independently lead complex technical initiatives from design through production deployment.

- Strong technical documentation, communication, collaboration, and organizational skills.

- Bachelor's degree in computer science or a related field, or equivalent practical experience.

## Preferred Qualifications

- Experience supporting commercial, government, regulated, classified, or air-gapped cloud environments.

- Experience with both Microsoft Azure and AWS, including Azure Government or AWS GovCloud.

- Experience with GitOps, Helm, policy as code, secrets management, service catalogs, or internal developer portals.

- Experience designing or supporting internal developer platforms and standardized paved-path tooling.

- Knowledge of private cloud and virtualization platforms such as VMware, Hyper-V, or KVM.

- Experience defining service-level indicators, service-level objectives, incident response practices, and reliability improvements.

- Experience supporting hybrid-cloud architectures spanning public cloud, private cloud, and on-premises infrastructure.

- Experience within aerospace, defense, manufacturing, or other regulated environments.

- Relevant cloud, Kubernetes, Terraform, or platform-engineering certifications.

## Skills

### Required
- Azure
- AWS
- Terraform
- Ansible
- Python
- Go
- Kubernetes
- containerization
- CI/CD pipelines
- Linux systems administration
- cloud infrastructure
- DevOps
- Site Reliability Engineering

### Nice to have
- GitOps
- Helm
- policy as code
- secrets management
- service catalogs
- internal developer portals
- private cloud
- virtualization platforms
- service-level indicators
- incident response practices
- reliability improvements
- hybrid-cloud architectures

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Source: [Apply at jobs.lever.co](https://jobs.lever.co/shieldai/38e5f38c-8d3f-4210-8310-8688182dc182?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)