AI-Driven DevOps Engineer: Kubernetes, Python, IaC

HonorVet Technologies; San Diego (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

HonorVet Technologies is hiring for a role focused on building automation tools for deployment and testing of compute infrastructure. The candidate will scale services and advance continuous delivery. A strong background in Python, Linux systems, and infrastructure as code is required, with experience in Kubernetes, Docker, and cloud infrastructure.

Open to exploring AI-driven improvements. The position emphasizes collaboration with teams building networking and orchestration solutions and

Qualifications

• 5+ years of related experience with a Bachelor's degree; or 3 years and a Master's degree; or equivalent work experience.
• Strong background in Python programming.
• Linux systems architecture and engineering experience.
• Experience with infrastructure as code using Terraform and configuration management with Puppet.
• Familiarity with Kubernetes and Docker; cloud infrastructure experience preferred.

Responsibilities

• Build software tools to automate deployment and testing of compute infrastructure.
• Scale critical services to support customer growth.
• Apply test-driven development principles and advance continuous delivery.
• Research and implement new open-source and commercial tools, technologies and methodologies.
• Collaborate with peer teams who have built networking and orchestration solutions.

Skills

Python programming

Linux systems

AI integration

Infrastructure as code

Terraform

Puppet

Kubernetes

Docker

Release management

Cloud infrastructure

Education

Bachelor's degree

Master's degree

Equivalent work experience

Tools

Kubernetes

Docker

Terraform

Puppet

Job description

HonorVet Technologies is hiring for a role focused on building automation tools for deployment and testing of compute infrastructure. The candidate will scale services and advance continuous delivery. A strong background in Python, Linux systems, and infrastructure as code is required, with experience in Kubernetes, Docker, and cloud infrastructure.

Open to exploring AI-driven improvements. The position emphasizes collaboration with teams building networking and orchestration solutions and