Senior Engineer, Platform Infrastructure (R5516)
Shield AI · Integration & Test
- Location
- Dallas, Texas · Washington, D.C.
- Metro
- Dallas–Fort Worth, Washington, DC
- Workplace
- On-site
- Level
- Senior
- Type
- Full-time
- Pay
- $120K–$180K/yr (published by employer)
- Posted
- 3 months ago
- Source
- Lever
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What the posting covers
About the company
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…
Why This Role Exists
We build and operate the platform that our engineers and our customers rely on. The platform isn't a product that's ever "finished." It's something we improve continuously. Every deployment, outage, bug, and annoying manual task is an opportunity to make the…
How We Work
Our engineering culture is built on Extreme Programming and Continuous Delivery. That means: Pair programming is our default way of developing software. We work in small batches. We integrate continuously. We automate repetitive work. We test first whenever…
What You'll Do
Build and improve the platform that deploys and operates customer environments. Develop infrastructure as code using Ansible, Terraform, Helm, Zarf, Big Bang, Packer, and related tooling. Improve Kubernetes platforms and the systems around them. Build…
You Work as Part of the Team
Platform engineering is a collaborative discipline. You bring potential solutions to the team, clearly explain your reasoning and tradeoffs, and help the team build a shared understanding of the code or design not merely produce it. You are responsible for…
Technical Expectations
You should be comfortable working across most of these areas: Kubernetes Linux Networking fundamentals Git and trunk-based development GitLab CI Infrastructure as Code Ansible Terraform Helm Zarf Containers PKI and certificate management Secrets management…
How Success Is Measured
Successful L3 engineers consistently help the team: Deploy more frequently. Deploy more safely. Recover from failures faster. Remove manual work. Reduce operational complexity. Improve documentation. Increase confidence through testing. Deliver changes in…
What Doesn't Fit Here
Building knowledge silos. Defending "the way we've always done it." Optimizing for personal productivity instead of team throughput. Big-bang rewrites when incremental change will work. Manual work that should be automated. Complexity without a clear…
Excerpts only. The employer’s page has the complete posting.