Senior Platform Engineer

Shield AI•San Mateo, CA

8d•Hybrid

About The Position

Shield AI is seeking a Senior Cloud Platform Engineer to design, build, and operate the shared technology platforms that support our 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. You will partner closely with Engineering, DevOps, Infrastructure, Network, and Cybersecurity teams to deliver scalable, secure, and reliable platform services that reduce manual operations and improve developer productivity.

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.

Nice To Haves

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.

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.