Senior Engineering Manager
San Jose, United States · Hybrid · Full-time
- Posted 1d ago
- From Veeam Software’s careers page
- Location
- San Jose, United States
- Work mode
- Hybrid
- Type
- Full-time
- Level
- Senior
- Experience
- 5+ years
- Department
- Software Development
Opens the listing on job-boards.eu.greenhouse.io
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About the role
About the Role:
We are the leader in Kubernetes Backup and Disaster Recovery. Veeam Kasten, our data management platform purpose-built for Kubernetes, provides enterprise operations teams with an easy-to-use, scalable, and secure system for backup and restore, disaster recovery, and application mobility with unparalleled operational simplicity.
We are looking for a Senior Engineering Manager to guide a team of engineers and collaborate with them on our Veeam Kasten data management platform, ensuring top-tier security and excellence.
What You’ll Do:
- Leading a team of engineers, mentoring and growing them
- Collaborating with product managers and other engineering teams to deliver new product features
- Owning (designing, developing in Go, and testing) significant features in the Veeam Kasten product related to backup and recovery of Kubernetes applications, databases, and storage systems
- Working with and contributing to the cloud-native open-source community
- Preparing technical documentation and specifications
Technologies You’ll Work With:
Kubernetes, Helm, Docker, Golang, Bash, Git, OpenShift, Rancher, Google GKE, AWS EKS, Azure AKS, VMware TKG(s), etc. Our team is passionate about code quality, extensibility, coding standards, testing, and automation.
What You’ll Bring:
- 3+ years of experience managing a team of engineers
- 5+ years of experience developing enterprise solutions in a high-level programming language such as C++, Java, or C#, and a willingness to learn Go
- Expertise in developing, testing and debugging production-quality, scalable, multi-threaded, concurrent systems
- Strong understanding of computer science fundamentals (data structures and algorithms)
- A university degree in a technical field or equivalent industry experience
Bonus Skills:
- Experience developing in Go
- Experience developing for and on containers, container scheduler, and orchestration platforms
- Active contribution to OSS projects in the Kubernetes/Cloud-Native ecosystem
- Participation in CNCF Technical Advisory Groups (TAGs) or Kubernetes Special Interest Groups (SIGs)
What you'll get:
- Unlimited paid time off, 12 paid holidays including 4 global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
- Paid parental leave: 8 weeks for all parents, 16 weeks for birthing parents
- Medical, dental, and vision coverage starting on your first day
- Mental health support, therapy sessions, and digital wellness tools via our Employee Assistance Program
- 401(k) retirement plan with company matching contributions
- Fertility, adoption, and surrogacy support through Maven, plus paid volunteer time
- AirVet: 24/7 virtual veterinary care at no cost
- Legal services, identity protection, and supplemental health insurance options
- Tax-advantaged spending accounts for healthcare, dependent care, and commuting
- Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning
Pay Transparency:
Veeam is committed to pay transparency and equitable compensation. For this role, the compensation range below reflects the expected total target compensation (TTC), inclusive of base pay and a competitive performance-based bonus. When determining compensation, Veeam takes into consideration factors such as experience, education, skills, and geographic zone. Offers are typically made below the midpoint of the range.
In addition to compensation, Veeam provides a comprehensive benefits package, including health coverage, retirement plans, and unlimited time off.
Compensation Range (TTC / OTE):
$306,000 — $568,320 USD
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About Veeam Software
Data resilience and protection softwareVeeam provides data resilience and security products for backing up, protecting and recovering business data and AI systems.
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