Senior Software Developer

Veeam · San Jose, CA, USA · по договорённости

Компания
Veeam
Город
San Jose, CA, USA
Зарплата
по договорённости
Уровень
senior
Формат
full_time
Иностранная компания
нанимает русскоязычных

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 looking for a Software Developer  to contribute to our Veeam Kasten data management platform , purpose-built for Kubernetes, ensuring top-tier security and excellence.

What You’ll Do

Owning (designing, developing, and testing) significant features in the Veeam Kasten product related to backup and recovery of Kubernetes applications, databases, and storage systems

Expanding our internal tools from easing developer experience to efficiently releasing Veeam Kasten every sprint

Collaborating with distributed teams across different time zones and regions

Preparing technical documentation and specifications

Mentor ing other engineers and c ontinuously supporting projects across the product

Shar ing responsibilities on maintaining the CI/CD pipelines

Resolving customer issues in a timely manner

Technologies You’ll Work With

Kubernetes, Helm, Docker, Golang, Bash, Git, Terraform, OpenShift, Rancher, Google GKE, AWS EKS, Azure AKS, VMware TKG(s), etc.

What You’ll Bring

5 + years of experience developing enterprise solutions in a high-level progra m ming language such as Go, C++ , or Java

Experience with distributed systems concepts and client-server architectures

Expertise in developing, testing, and debugging production-quality, scalable, multi-threaded, and concurrent systems

Strong knowledge of computer science fundamentals (data structures, algorithms, and concurrency)

BS, MS or Ph.D. in Computer Science, Computer Engineering, or equivalent industry experience

Bonus Skills

Experience developing in Go

Experience developing for and on containers, container scheduler, and orchestration platforms

Experience with databases and/or storage systems - especially in the public cloud

Experience developing for multiple architectures such as amd64, arm64, ppc64le, etc

#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 typic

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