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.
We are looking for an experienced Backend Engineer 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.
What You'll Do- Design and develop reliable, scalable and globally available cloud services that protect data stored in SaaS services like Microsoft 365
- Participate in technical design discussions, reviewing code, and providing feedback to other engineers
- Ensure your code is high-quality, thoroughly tested, and secure
- Take ownership of the reliability and efficiency of your services running in the cloud
- Participate in on-call rotation for product operations
- 5+ years of experience in the software development industry
- Exposure to 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 Go, C#, Java, Scala, or Rust
- Strong computer science fundamentals (data structures, algorithms, and concurrency)
- Demonstrated expertise designing, building, and implementing core features in production services or software
- Experience developing, testing, and debugging production-quality, scalable, multithreaded, concurrent systems
- Passion for code quality, extensibility, coding standards, testing and automation
- Experience building systems that handle large volumes of data, including data storage, data transfer, and data manipulation systems
- Experience building data protection or security products
- Experience building and operating SaaS services using public cloud
- 18 paid vacation days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
Private medical coverage for you and up to four dependents - Life, accident, and disability insurance with enhanced coverage
- Annual flexible wellbeing allowance for physical and mental wellness
- Free confidential counselling and coaching via Employee Assistance Program (EAP), including legal and financial advice
- Meal, fuel, and transportation benefits based on work arrangement
- Daycare reimbursement and safe cab facility for eligible employees
- 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
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.
