Veeam, the #1 global market leader in data resilience, believes businesses should control all their data whenever and wherever they need it. Veeam provides data resilience through data backup, data recovery, data portability, data security, and data intelligence. Based in Seattle, Veeam protects over 550,000 customers worldwide who trust Veeam to keep their businesses running. Join us as we move forward together, growing, learning, and making a real impact for some of the world’s biggest brands. The future of data resilience is here - go fearlessly forward with us.
We are looking for an experienced Staff Backend Engineers to join the Veeam Data Cloud (VDC) engineering team. You will be working with a global team to build next-generation data protection services focused on ensuring data resilience for our customers. This is a unique opportunity to work on greenfield projects, building features from the ground up that will be deployed and utilized worldwide
Your tasks will include:
- Defines and drives technical vision for multiple areas within their team. Leads cross-team deliverables.
- Design and develop highly reliable and scalable SaaS microservices, integrated with a variety of cloud-based managed services utilizing Golang
- Participate in technical design discussions, reviewing code, and providing feedback to other engineers. Solves hardest, most ambiguous team wide challenges. Develops frameworks for others to follow.
- Drives team deliverables in a timely and predictable fashion. Sets execution standards across the team. Ensure your code is high-quality, thoroughly tested, and secure
- Facilitates effective collaboration and organizes across the engineering organization, drives discussions toward a resolution or action. Helps others across organization understand their team’s technology.
- Participate in on-call rotation for product operations.
What we expect from you:
- 10+ years of experience in the software development industry
- Demonstrated expertise designing, building, and implementing SaaS or large-scale cloud services on Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP)
- Expertise with a modern programming language like Java, C#, Go, or Rust
- Experience with Docker, Kubernetes or other container and orchestration tools
- Experience designing and implementing event-driven architectures
- Expertise in developing, testing, and debugging production-quality, scalable, concurrent systems
- A strong knowledge of computer science fundamentals (data structures and algorithms)
- Passion for code quality, extensibility, coding standards, testing, and automation
Will be an advantage:
- Experience in the data protection industry
- Family Medical Insurance
- Annual flexible spending allowance for health and well-being
- Life insurance
- Personal accident insurance
- Employee Assistance Program
- A comprehensive leave package, including parental leave
- Meal Benefit Pass
- Transportation Allowance
- Daycare/Child care Allowance
- Veeam Care Days – additional 24 hours for your volunteering activities
- Professional training and education, including courses and workshops, internal meetups, and unlimited access to our online learning platforms (Percipio, Athena, O’Reilly) and mentoring through our MentorLab program
Please note: If the applicant is permanently located outside India, Veeam reserves the right to decline the application.
Please note that any personal data collected from you during the recruitment process will be processed in accordance with our Recruiting Privacy Notice.
The Privacy Notice sets out the basis on which the personal data collected from you, or that you provide to us, will be processed by us in connection with our recruitment processes.
By applying for this position, you consent to the processing of your personal data in accordance with our Recruiting Privacy Notice.
By submitting your application, you acknowledge that the information provided in your job application and any supporting documents is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification of information may result in disqualification from consideration for employment or, if discovered after employment begins, termination of employment.
