DevOps Engineer - Kubernetes & Automation for Autonomous Driving

Tensor Auto; San Jose (CA); On-site; USD 75,000 - 300,000; Full time

Job summary

Tensor is seeking experienced DevOps engineers to join our infra team in San Jose. You will oversee daily operations of production Kubernetes environments, install and maintain clusters, and collaborate with development teams to support autonomous driving software.

The role requires 1–3 years in production Kubernetes, Docker, ELK/EFK, and middleware like MySQL, Redis, and Kafka. We offer competitive compensation, equity, and professional growth opportunities.

Qualifications

• 1–3 years of work experience, including at least 1 year maintaining production Kubernetes environments.
• Familiarity with Docker/Kubernetes ecosystems, including monitoring, logging, networking, and storage solutions.
• Experience with the ELK/EFK stack.
• Proficiency with common middleware (Nginx, Redis, MySQL, MongoDB).
• Scripting skills in Shell, Python, or Go and ability to develop low-level scripts.
• Strong analytical and independent problem-solving abilities; capable of tackling technical challenges.

Responsibilities

• Oversee daily operations and maintenance of production Kubernetes environments, ensuring secure, reliable, and high-performance systems.
• Install, configure, optimize, and maintain Kubernetes clusters, including continuous improvement of CPU, GPU, memory, network, and storage utilization.
• Implement monitoring, alerting, and logging solutions to promptly detect, troubleshoot, and resolve issues within Kubernetes clusters.
• Manage backup and restore procedures to safeguard data integrity and availability.
• Collaborate with development teams to provide Kubernetes-related technical support and guidance.
• Deploy and maintain key middleware components such as MySQL, PostgreSQL, and Kafka.

Job description

Tensor is seeking experienced DevOps engineers to join our infra team in San Jose. You will oversee daily operations of production Kubernetes environments, install and maintain clusters, and collaborate with development teams to support autonomous driving software.

The role requires 1–3 years in production Kubernetes, Docker, ELK/EFK, and middleware like MySQL, Redis, and Kafka. We offer competitive compensation, equity, and professional growth opportunities.