Shield AI

Principal Engineer, Platform

Shield AI

full-time

Posted on:

Location Type: Remote

Location: CaliforniaTexasUnited States

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Salary

💰 $180,000 - $270,000 per year

Job Level

About the role

  • Architect and build scalable internal platform infrastructure supporting engineering workloads across public cloud, private cloud, and on-prem environments.
  • Design and implement platform capabilities that enable standardized, secure, and repeatable deployment of applications and services.
  • Develop and maintain infrastructure-as-code frameworks and reusable platform modules to accelerate engineering productivity.
  • Establish and evolve “paved path” platform patterns that simplify secure software delivery for engineering teams.
  • Build automation and tooling that improves development lifecycle efficiency across build, test, release, and deployment processes.
  • Contribute to and improve CI/CD pipelines, artifact management, and developer platform tooling.
  • Collaborate with engineering teams to reduce operational friction and improve system observability, resilience, and reliability.
  • Develop internal tools, integrations, and automation frameworks that streamline engineering workflows across the organization.
  • Design and operate highly available infrastructure platforms supporting mission-critical engineering systems.
  • Partner with security teams to embed strong security controls, auditability, and compliance requirements into platform architectures.
  • Evaluate and introduce new technologies that improve system scalability, security, and operational efficiency.
  • Provide senior-level technical guidance across infrastructure, platform engineering, and DevOps initiatives.
  • Serve as a trusted advisor to engineering and infrastructure leadership on platform architecture decisions.
  • Mentor engineers and promote best practices in automation, reliability engineering, and platform design.
  • Drive platform modernization initiatives that improve the scalability and reliability of Shield AI’s internal systems.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or related technical field, or equivalent practical experience.
  • 10+ years of experience in platform engineering, DevOps, infrastructure engineering, or site reliability engineering roles supporting large-scale systems.
  • Deep hands-on experience designing and operating cloud or hybrid infrastructure platforms, including networking, identity, compute, and storage systems.
  • Strong expertise with Infrastructure as Code and automation frameworks (e.g., Terraform, Bicep, Ansible, or similar).
  • Experience building or improving CI/CD pipelines, developer platform tooling, and automated deployment workflows.
  • Strong systems engineering background across Linux-based environments, distributed systems, and infrastructure automation using scripting or programming languages (Python, Go, Bash, PowerShell, etc.).
  • Demonstrated ability to lead complex platform initiatives and influence technical direction across engineering and infrastructure teams.
  • Strong communication and collaboration skills with the ability to operate independently in complex, fast-moving technical environments.
Benefits
  • Pay within range listed + Bonus + Benefits + Equity
  • Temporary benefits package (applicable after 60 days of employment)
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
platform engineeringDevOpsinfrastructure engineeringsite reliability engineeringInfrastructure as CodeTerraformBicepAnsibleCI/CD pipelinesscripting
Soft Skills
communicationcollaborationleadershipmentoringinfluenceindependenceproblem-solvingtechnical guidancebest practices promotionoperational efficiency
Certifications
Bachelor’s degree in Computer ScienceBachelor’s degree in Engineeringrelated technical field