Senior DevOps Engineer

RADAR•Seattle, WA

5h•$130,000 - $180,000

About The Position

We are seeking a Senior DevOps Engineer with 5+ years of experience to join our dynamic team, helping drive the development, deployment, and operation of cloud, mobile, IoT, embedded, and edge compute solutions. You'll work across a wide technical landscape and play a critical role in shaping our infrastructure, CI/CD, and developer experience.

Requirements

Design, implement, and maintain robust CI/CD pipelines leveraging GitHub Actions building software using Gradle which is delivered using Argo CD, Kargo and modern DevOps tooling.
Manage and scale containerized applications across cloud and edge environments using Kubernetes.
Build and manage infrastructure using Terraform, applying industry best practices for IaC.
Support build, packaging, and deployment workflows for services written in Java, Go, Python, and C++.
Collaborate with embedded and systems engineering teams working with Xilinx, Yocto, and other embedded OS environments.
Automate and optimize ML Ops workflows for machine learning deployment and validation.
Improve reliability, scalability, and security across systems spanning mobile, cloud, IoT, and edge compute.
Ensure DevOps systems and practices meet SOC 2 requirements, including access controls, audit logging, and change management across build and deployment infrastructure.
Troubleshoot and resolve complex issues across distributed systems, including deep debugging within Linux and networking layers.

Nice To Haves

Experience integrating iOS/Android mobile build pipelines into larger CI/CD workflows.
Background with IoT device regression systems, firmware pipelines, or embedded testing frameworks.
Knowledge of monitoring and logging solutions for distributed and embedded environments.

Responsibilities

Design, implement, and maintain robust CI/CD pipelines leveraging GitHub Actions building software using Gradle which is delivered using Argo CD, Kargo and modern DevOps tooling.
Manage and scale containerized applications across cloud and edge environments using Kubernetes.
Build and manage infrastructure using Terraform, applying industry best practices for IaC.
Support build, packaging, and deployment workflows for services written in Java, Go, Python, and C++.
Collaborate with embedded and systems engineering teams working with Xilinx, Yocto, and other embedded OS environments.
Automate and optimize ML Ops workflows for machine learning deployment and validation.
Improve reliability, scalability, and security across systems spanning mobile, cloud, IoT, and edge compute.
Ensure DevOps systems and practices meet SOC 2 requirements, including access controls, audit logging, and change management across build and deployment infrastructure.
Troubleshoot and resolve complex issues across distributed systems, including deep debugging within Linux and networking layers.