About Druva
You won’t just join a company at Druva, you’ll help shape the future of data security at the moment it matters most. We are building a modern standard with our cloud-native solutions, designed to simplify the toughest challenges in cyber resilience for our customers. As the pioneer and market leader in fully managed SaaS data protection, we help organizations secure and recover their data from ransomware, cyberattacks, and operational disruptions without the complexity, cost, or risk of legacy infrastructure.
Our momentum is backed by the market: Druva was named a Leader in the 2025 Gartner® Magic Quadrant™ for Backup and Data Protection Platforms, a Leader in the 2025 IDC MarketScape for Cyber-Recovery, and a Leader & Outperformer in the 2025 GigaOm Cloud Data Protection Radar. Even better, customers validate that leadership every day through strong Gartner Peer Insights ratings, standout Net Promoter Scores (NPS), and top willingness-to-recommend results.
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Enterprise Workload is a unified server backup and archival built on Druva’s secure, enterprise-trusted, and high-performance cloud platform. With Phoenix, data can be stored indefinitely with limitless snapshots and flexible retention policies, while at the same time significantly lowering your backup costs. Druva takes a multi-layered approach to securing data that is unmatched in the industry – enabling organizations to address both their data security and data privacy requirements.
As a Senior Staff Software Engineer you will be responsible for the design, implementation and maintenance of software modules owned by a team. Your primary focus will be on the development of all backend server side components and ensuring high performance and responsiveness to requests from the front end. You will guide and mentor junior team members by reviewing their code and designs to ensure that they are writing well designed and high quality code. This role requires excellent communication skills as you will need to collaborate across teams.
Key Skills

AI first mindset - Ability to effectively leverage GenAI while maintaining strong engineering judgment around correctness, security, performance, maintainability, and code quality.
6+ years of experience, preferably in a product company, building global scale distributed SaaS applications that handle petabytes of data.
Extensive hands on experience in Go/Python/C/C++/Java on Unix/Linux or Windows platform
Strong hands-on experience in designing, managing, and optimizing databases
Excellent programming skills along with Data structures, Algorithms, Design Concepts
Experience in working with SoA
Experience in Cloud Technologies (preferably AWS)
Experience with third-party API integrations at scale (preferred)
Experience with virtualization platforms such as VMware vSphere/ESXi;