Staff Platform Engineer

Shield AI; San Diego (TX); On-site; USD 142,000 - 213,000; Full time

Benefits offered by this job

Equity

Bonus

Benefits

Job summary

Shield AI is seeking a Staff Platform Engineer to design and evolve internal platform infrastructure spanning cloud, on-prem, and hybrid environments. You will partner with engineering, security, and operations to enable secure software delivery and provide paved paths for developers.

The role emphasizes scalable architecture, automation, and observability, with close collaboration across teams to improve reliability and development productivity in a dynamic defense-tech setting.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience.
• 8+ years in platform engineering, DevOps, or SRE roles for large-scale systems.
• Hands-on with cloud/hybrid infrastructure, networking, identity, compute, and storage.
• Proficiency with Infrastructure as Code and automation (Terraform, Ansible, etc.).
• Experience building or improving CI/CD pipelines and developer tooling.

Responsibilities

• Design, build, and operate scalable internal platform infrastructure across cloud, private cloud, and on‑prem environments.
• Develop repeatable, secure deployment patterns and infrastructure-as-code modules.
• Advance CI/CD pipelines, observability, and developer tooling to boost productivity.
• Collaborate with security and engineering teams to embed controls and meet compliance needs.

Skills

Platform engineering

CI/CD automation

Cloud & on-prem

Python

Education

Bachelor's degree in CS or related field

Tools

Terraform

Ansible

Kubernetes

CI/CD pipelines tooling

Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai . Follow Shield AI on LinkedIn , X , Instagram , and YouTube .

Job Description

This position may be based in San Diego, CA; Dallas, TX; Washington, D.C.; or other Shield AI locations.

Shield AI is seeking a Staff Platform Engineer to help design and implement the internal technology platforms that power our engineering, autonomy, and enterprise operations environments.

In this highly technical individual contributor role, you will serve as a senior technical expert responsible for designing and evolving scalable, secure, and highly automated platform infrastructure spanning cloud, on-premise, and hybrid environments. You will work closely with engineering, security, and infrastructure teams to establish platform architecture, develop paved paths for developers, and implement automation that improves reliability, security, and development productivity across engineering teams.

This role is ideal for an experienced platform engineer who thrives at the intersection of systems architecture, automation, and developer enablement, and who enjoys building the foundational systems that allow engineering organizations to move quickly and safely.

What you'll do:

Platform Architecture & Engineering

• Build and evolve 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 application 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.

Automation & Developer Enablement

• Build automation and developer tooling that improves software delivery and engineering productivity.
• 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, platform integrations, and automation frameworks that streamline engineering workflows across the organization.

Infrastructure & Systems Engineering

• Design, implement, and operate highly available infrastructure platforms supporting mission-critical engineering systems.
• Implement scalable platform solutions across cloud and on-prem environments including compute, networking, identity, and storage.
• 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.

Required Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or related technical field, or equivalent practical experience.
• 8+ years of experience in platform engineering, DevOps, infrastructure engineering, or site reliability engineering roles supporting large-scale systems.
• Deep hands-on experience designing, building 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, 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 understand, build, and own complex platform initiatives and collaborate across engineering and infrastructure teams.
• Excellent communication and collaboration skills, with the ability to influence technical direction across multiple engineering teams.

Preferred Qualifications:

• Experience building or operating internal developer platforms (IDP) or engineering productivity platforms that support large-scale development environments.
• Experience with Kubernetes and modern container platforms.
• Experience deploying infrastructure across commercial and government cloud environments, including AWS and Azure.
• Familiarity with DevSecOps practices and integrating security controls into automated infrastructure and CI/CD pipelines.
• Experience implementing observability platforms, including centralized logging, monitoring, and distributed tracing for large-scale systems.
• Experience working within defense, aerospace, or other regulated industries, including familiarity with frameworks such as NIST or FedRAMP.

$142,000 - $213,000 a year

#LC

Full-time regular employee offer package:

Pay within range listed + Bonus + Benefits + Equity

Temporary employee offer package:

Pay within range listed above + temporary benefits package (applicable after 60 days of employment)

Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.

Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.