Engineering Manager, Kubernetes & Cloud‑Native Platform

Veeam; San Jose (CA); Hybrid; USD 306,000 - 568,000; Full time

Benefits offered by this job

Unlimited PTO

12 paid holidays

Medical, dental, vision

401(k)

Job summary

Veeam is seeking a Senior Engineering Manager to guide a team building the Veeam Kasten data management platform for Kubernetes. You will own feature design, development in Go, and testing for backup and recovery of Kubernetes apps and storage systems.

You will collaborate with product managers and other teams, mentor engineers, contribute to OSS efforts, and document specifications to ensure security and reliability at scale.

Qualifications

• 3+ years of experience managing a team of engineers
• 5+ years of experience developing enterprise solutions in a major language such as C++, Java, or C#, and willingness to learn Go
• Expertise in developing, testing and debugging production-quality, scalable, multi-threaded systems
• Strong CS fundamentals (data structures and algorithms)
• University degree in a technical field or equivalent industry experience

Responsibilities

• Lead a team of engineers, mentoring and growing them
• Collaborate with product managers and other engineering teams to deliver new features
• Own design, development in Go, and testing for Kubernetes backup and recovery features
• Engage with cloud-native OSS communities and contribute
• Prepare technical documentation and specifications

Skills

Leadership

Mentoring

CS fundamentals

Go willingness to learn

Education

Bachelor's degree in CS or related field

Tools

Go

Kubernetes

Docker

Golang

Job description

Veeam is seeking a Senior Engineering Manager to guide a team building the Veeam Kasten data management platform for Kubernetes. You will own feature design, development in Go, and testing for backup and recovery of Kubernetes apps and storage systems.

You will collaborate with product managers and other teams, mentor engineers, contribute to OSS efforts, and document specifications to ensure security and reliability at scale.