You'll be the senior technical owner for paved roads and secure-by-default engineering on the Security Engineering team. Your job is not to review and say no — it is to engineer the secure defaults, golden paths, and guardrails-as-code that make the secure way to build the easy way to build, across cloud, infrastructure, and CI/CD.
You will design, build, and operate the IaC modules, pipeline templates, internal libraries, and policy-as-code controls that the rest of the company consumes. You will engineer guardrails that block or flag the insecure path automatically, and replace recurring manual security work with durable mechanisms that don't depend on anyone remembering to do the right thing. As one of the most senior engineers on the team, you'll help shape and drive the technical direction for how secure-by-default works at Shield AI — partnering closely with a hands-on engineering lead — and raise the bar for everyone building on top of it.
This is a hands-on, build-heavy role. We are credible because we are technical — you'll read the code, the configs, the telemetry, and the architecture, and ship solutions durable enough to run without you.
What you'll do:
- Build the secure defaults: Infrastructure-as-Code modules, CI/CD pipeline templates, internal libraries, and golden-path scaffolding that make the secure choice the easy choice.
- Engineer guardrails as code — policy-as-code (OPA/Conftest), admission controllers, cloud guardrails (SCPs / org policy), and pre-commit and CI checks — so the insecure path is blocked or flagged automatically.
- Own the platform security tooling that other teams consume, so they don't have to build their own; replace recurring manual work with durable, self-service mechanisms.
- Embed security into the software and infrastructure supply chain: pipeline security, build/artifact integrity, dependency and container scanning, and secrets management.
- Engineer workload and service identity controls (least privilege, short-lived credentials, federated trust) so zero-standing-privilege is real and observable.
- Write and maintain production-quality code and infrastructure that backs these controls.
- Partner with platform, infrastructure, and product engineering teams early — review high-blast-radius designs against the internal Security Engineering standard while the design can still change, and turn recurring findings into a missing paved road, not just another fix.
- Set technical direction and standards for secure-by-default; document them so they can be applied without us, and mentor and raise the bar for other engineers.
Required qualifications:
- Extensive experience in security engineering, platform/infrastructure engineering, DevSecOps, or a closely related field, with a track record of owning complex systems end-to-end.
- Strong software engineering ability — you write, review, and ship production-quality code (any modern language) and treat infrastructure as software.
- Hands-on experience building secure-by-default mechanisms: Infrastructure-as-Code, CI/CD pipeline security, and policy/guardrails as code.
- Deep working knowledge of at least one major cloud provider and its security and identity model.
- Demonstrated ability to design durable, automated solutions that reduce real risk without becoming a bottleneck — and to make explicit tradeoffs between security and the business.
- Strong communication: you can explain a security concept to a product engineer in their language and to a leader in business terms, and you write recommendations people can act on.
Preferred qualifications:
- Strong DevSecOps background with hands-on Kubernetes (admission control, OPA/Gatekeeper, workload identity) and Terraform (reusable secure modules, policy-as-code).
- Production coding experience in Go, Python, and/or Rust; comfortable with scripting/automation in Bash and PowerShell.
- Depth in Azure security and identity (Entra ID, Azure Policy, Management Group guardrails).
- Experience securing AI/ML systems, pipelines, or workloads.
- Offensive security / red team experience, with the ability to think like an attacker and translate those findings into stronger defaults and guardrails.
- Experience with supply-chain security (SLSA, sigstore/cosign, SBOMs), container/image hardening, and secrets management.
- Experience operating security tooling as an internal product consumed self-service by other engineering teams.
- Bachelor's degree or equivalent professional certification and experience.
Skills Required
- Extensive experience in security engineering, platform/infrastructure engineering, DevSecOps, or closely related field with end-to-end ownership of complex systems
- Strong software engineering ability: write, review, and ship production-quality code and treat infrastructure as software
- Hands-on experience building secure-by-default mechanisms: Infrastructure-as-Code, CI/CD pipeline security, and policy/guardrails as code
- Deep working knowledge of at least one major cloud provider and its security and identity model
- Demonstrated ability to design durable, automated solutions that reduce risk without becoming a bottleneck and make security tradeoffs
- Strong communication skills: explain security concepts to engineers and leaders and write actionable recommendations
Shield AI Compensation & Benefits Highlights
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Healthcare Strength — Company materials describe excellent medical, dental, and vision coverage alongside a mental‑health EAP. Site perks such as an onsite gym in DC and a gym discount in San Diego support a health‑focused offering.
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Retirement Support — Careers materials highlight a 401(k) with company match as part of the standard package. A Total Rewards overview emphasizes retirement features within a broader, transparent compensation view.
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Career-Linked Recognition & Rewards — Compensation for in‑demand technical and senior go‑to‑market roles is described as competitive, with visible engineering ranges and top‑end packages. This points to meaningful upside tied to role, level, and scarce skills.
Shield AI Insights
What We Do
At Shield AI, you won't wait years to see your work reach the field. You'll build hardware and software that operates in the real world right now, in the hands of the people who depend on it. Hivemind, our AI pilot, has been flying since 2018. It has flown more than 30 platforms, including an F-16, and it now sits under a U.S. Air Force production contract for Collaborative Combat Aircraft. When you write code or shape a system here, you contribute to technology with a proven flight record and a clear production future. V-BAT flies intelligence, surveillance, and reconnaissance missions with an operational record that stretches from Ukraine to the Indo-Pacific. It delivers eyes where they matter most, in the most demanding conditions on earth. The teams behind it watch their work get tested where the stakes are real. X-BAT takes its first flight this year. It's an AI-piloted fighter that needs no runway, built to operate where traditional aircraft can't. Join now and you help shape a program at its earliest, most formative stage. That's the kind of ground-floor work that defines a career. Do the most impactful work of your life, on problems that matter. Autonomy at this level asks a lot of you. You'll take on problems in perception, planning, and control that few teams anywhere are equipped to solve. You'll work across disciplines, from aerospace and robotics to machine learning and systems engineering, alongside people who hold themselves to an exacting standard and expect the same from you. Our mission is clear: protect service members and civilians with intelligent systems. That purpose runs through every decision, every design review, and every deployment. It's why the work here carries a weight you can feel. Ready to join our mission? Explore our open roles and find where you fit.
Why Work With Us
Founded in 2015 by a former Navy SEAL, Shield AI builds AI pilots and uncrewed aircraft. Veterans aren't an afterthought here, they're at every level. It's why the work carries weight: AI pilots and uncrewed aircraft flying real missions, from Ukraine to the Indo-Pacific, protecting service members and civilians.
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Shield AI Teams
Shield AI Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
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