Veeam Software

Data and AI Trust

SeniorSoftwareEngineer

India Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Software Engineer at Veeam Software. Skills: Backend engineering, Cloud services development, Data protection services. 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”

Industry & Context.

Data and AI Trust
Eligibility Requirements

On-call rotation for product operations

What They're Looking For.

Must Have

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, 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

Nice to Have

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

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

Providing feedback to other engineers

Ensure code is high-quality

Take ownership of the reliability and efficiency of services running in the cloud

How You'll Work.

Team & Collaboration

Working with a global team; Participate in technical design discussions; Reviewing code; Providing feedback to other engineers

Full Job Description

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 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 What You'll Bring 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

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