Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands.

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 programing 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)

#LI-KC1

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. For roles with a commission plan, the compensation range represents On Target Earnings (OTE), which includes base salary plus variable commission. 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.