Senior Infrastructure and DevOps Engineer

TL;DR

Senior Infrastructure and DevOps Engineer: Design and operate Linux-based infrastructure for large-scale modeling, simulation, and data analysis workflows with an accent on CI/CD pipelines, automation, and scalable compute environments. Focus on enabling reproducible execution of compute-intensive workloads, monitoring pipeline performance, and debugging issues across build systems, storage, and distributed compute.

Location: Hybrid at US sites (Primary: Oregon, Hillsboro; Additional: Arizona, Phoenix; California, Folsom; California, Santa Clara)

Salary: $137,610–$265,870 USD annually

Company

hirify.global's Silicon Architecture group defines power, performance, and efficiency targets for future client products using models and analysis frameworks.

What you will do

• Design, deploy, and maintain Linux infrastructure for architecture modeling, simulation, and projection workflows.
• Build and operate CI/CD pipelines for modeling frameworks, analysis tools, and software components.
• Develop automation for build systems, toolchains, packaging, and dependency management.
• Enable scalable, reproducible execution of compute-intensive workloads.
• Manage artifact storage, versioning, and distribution for builds and outputs.
• Monitor, improve, and debug pipeline performance, reliability, and observability.
• Collaborate with architects and developers to enhance productivity and scalability.

Requirements

• Bachelor's Degree with 4+ years, Master's with 3+ years, or PhD in Computer Science, Information Systems, Electrical Engineering, Mathematics, or STEM discipline.
• 3+ years in infrastructure engineering, DevOps, software engineering, or build/release engineering.
• 3+ years working in Linux development environments.
• 2+ years with CI/CD systems (Jenkins, GitHub Actions, GitLab CI, or similar).
• 2+ years with build systems (GNU Make, CMake, Bazel, Ninja).

Nice to have

• Advanced STEM degree and 7+ years professional experience.
• Scripting/automation experience (Python, Bash).
• Container technologies (Docker, Kubernetes).
• Job scheduling (Slurm), storage systems (NFS), HPC/distributed workloads.
• EDA tools, architecture modeling, or semiconductor workflows.

Culture & Benefits

• Hybrid work model splitting time between on-site and off-site.
• Competitive total rewards including pay, stock bonuses, health, retirement, and vacation benefits.
• Opportunities to work on AI, analytics, and cloud-to-edge technologies.
• Dynamic, team-oriented environment emphasizing collaboration and proactive problem-solving.