Senior Platform Engineer, Automation & CI/CD

Shield AI; Washington; On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Equity

Bonus

Benefits

Job summary

Shield AI is seeking an L3 Platform Engineer to own the platform that deploys and operates customer environments, emphasizing automation and reliability.

You will apply infrastructure as code, Kubernetes, and observability to reduce toil, while collaborating in small batches and pairing with teammates for robust deployment solutions.

The role rewards continuous learning, team collaboration, and delivering incremental changes that strengthen system resilience.

Qualifications

• Proficiency with Kubernetes and Linux fundamentals.
• Experience with IaC and CI/CD pipelines.
• Knowledge of security, observability, and testing in distributed systems.
• Ability to automate deployment and improve reliability.

Responsibilities

• 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 deployment automation that reduces risk and removes manual work.
• Pair with other engineers to design, implement, and troubleshoot platform capabilities.
• Write automated tests for infrastructure and deployment workflows.
• Improve observability, reliability, security, and recoverability.
• Write documentation that explains why something exists—not just how to type commands.

Tools

Kubernetes

Linux

Networking fundamentals

Git

GitLab CI

Infrastructure as Code

Ansible

Terraform

Helm

Zarf

Containers

PKI and certificate management

Secrets management

Observability

Infrastructure testing

Troubleshooting distributed systems

Job description

Shield AI is seeking an L3 Platform Engineer to own the platform that deploys and operates customer environments, emphasizing automation and reliability.

You will apply infrastructure as code, Kubernetes, and observability to reduce toil, while collaborating in small batches and pairing with teammates for robust deployment solutions.

The role rewards continuous learning, team collaboration, and delivering incremental changes that strengthen system resilience.