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Shield AIShield AI

Senior Platform Engineer

Designs and operates shared cloud and private-cloud platforms, infrastructure automation, Kubernetes capabilities, and developer self-service tools. Requires 7+ years in platform, cloud infrastructure, DevOps, or SRE, with strong Terraform, Ansible, Linux, Kubernetes, and public-cloud experience.

About the job

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.
  • Own platform initiatives from technical design through production operations and continuous improvement.
  • Build and maintain container and Kubernetes platforms, including deployment automation, configuration management, observability, and lifecycle management.
  • Develop platform tooling and automation using Terraform, Ansible, Python, and Go.
  • Build standardized paved paths for infrastructure provisioning, application deployment, and shared platform services.
  • Establish 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 developer-facing platform services.
  • Troubleshoot complex platform, infrastructure, and application integration issues and lead root-cause analysis.
  • Maintain architecture diagrams, technical documentation, operational procedures, and reusable implementation patterns.
  • Evaluate technologies and recommend improvements to automation, reliability, and developer productivity.
  • Provide technical guidance and contribute to platform architecture, standards, and roadmap decisions.
  • Participate in an on-call rotation and scheduled after-hours maintenance.

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 with reusable infrastructure-as-code modules and automation using Terraform and Ansible.
  • Hands-on experience deploying and operating containerized workloads and Kubernetes platforms.
  • Proficiency in Python, Go, or another programming language used for platform tooling and automation.
  • Experience building CI/CD pipelines, self-service infrastructure, or developer-facing platform services.
  • Strong Linux systems administration experience, including deployment, configuration, troubleshooting, patching, and performance analysis.
  • 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 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 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 across public cloud, private cloud, and on-premises infrastructure.
  • Experience in aerospace, defense, manufacturing, or other regulated environments.
  • Relevant cloud, Kubernetes, Terraform, or platform-engineering certifications.

Skills

Azure, AWS, Terraform, Ansible, Kubernetes, Python, Go, Linux, CI/CD, Observability, Cloud Networking, Identity And Access Management, Helm, GitOps, VMware

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