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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Cloud Platform Team at Druva drives the backbone of everything SaaS related. This team designs and develops features that cater to both Customer facing needs and internal stakeholders, playing a pivotal role in evolving Druva's architecture, as the company scales further. Key focus areas for the Platform Organization includes Druva Cloud Platform, Product-Led Growth (PLG), MSP Solutions, Ecosystem & Integrations, Licensing, Billing, and Revenue Systems. By tackling these critical domains, the team ensures Druva’s platform remains robust, scalable, and ready for the future.
About Role
We are seeking a highly skilled Senior Staff SDET who brings strong engineering fundamentals, deep automation capability, and a passion for quality in distributed, cloud-based systems. This role involves designing test strategies, improving automation frameworks, and working closely with developers to ensure the reliability and security of complex backup workflows.You will contribute across the full lifecycle - from feature design and white-box testing to deployment and validation in cloud environments.
Key Responsibilities
- Agile Collaboration: Work closely with the development team in an Agile environment to understand functional specifications and design requirements.
- Test Planning: Independently create comprehensive feature test plans aligned with development milestones and feature completion.
- Automation Frameworks: Leverage existing automation frameworks to automate feature tests and actively augment libraries to support new functionalities.
- End-to-End Ownership: Own the complete test execution cycle for user stories, ensuring high-quality delivery.
- Testing Strategy: Perform a mix of automated, manual, white-box, and black-box testing.
- Infrastructure Management: Create, maintain, and document testbed setups and environments.
- Quality Assurance: Timely reporting, tracking, and updating of issues and test cases using management tools.
- Cross-Functional Delivery: Collaborate with cross-functional teams to ensure quality benchmarks are met throughout the development lifecycle.
Must Have Skills:
The engineer must demonstrate proficiency in leveraging AI for routine tasks, including generating functional test cases from functional specifications or precise prompts, and subsequently automating those test cases using AI.
Operating Systems & Core Concepts:
- Knowledge of working with Docker, Linux, Windows
- Good knowledge of networking and cloud architecture fundamentals, preferably with exposure to AWS and/or Azure services (networking, storage, compute).
Programming & Automation:
- Proficiency in Python or Java (Python preferred).
- Strong Shell scripting ability.
- Hands-on experience with SQL databases.
Testing skills & Tools:
- Strong experience in REST API testing and backend automation.
- Experience in UI automation (Selenium / Playwright preferred)
- Proficiency with tools like Git, Jira, XRay, Jenkins etc.
- Strong analytical and debugging skills.
- Exposure to Load and Performance testing and related tools
Desirable Skills
- Understanding of CI/CD Pipelines.
- Experience testing workloads on AWS/Azure, including basic resource setup, debugging and monitoring (Cloudwatch etc).
- Exposure to generative AI using Cursor or similar tools.
Qualification:
- B.Tech / B.E / M.E./ M.Tech or equivalent.
Skills Required
- Proficiency leveraging AI to generate functional test cases from specifications or prompts and automate them
- Knowledge of Docker, Linux, and Windows
- Knowledge of networking and cloud architecture fundamentals
- Exposure to AWS and/or Azure services, including networking, storage, and compute
- Proficiency in Python or Java; Python preferred
- Strong Shell scripting ability
- Hands-on experience with SQL databases
- Strong experience with REST API testing and backend automation
- Experience with UI automation using Selenium or Playwright
- Proficiency with Git, Jira, XRay, and Jenkins
- Strong analytical and debugging skills
- Exposure to load and performance testing tools
- Understanding of CI/CD pipelines
- Experience testing workloads on AWS or Azure, including resource setup, debugging, and monitoring
- Exposure to generative AI using Cursor or similar tools
- B.Tech, B.E., M.E., M.Tech, or equivalent
Druva Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Druva and has not been reviewed or approved by Druva.
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Healthcare Strength — Health coverage is described as comprehensive in the U.S., with medical, dental/vision, mental-health programs, and an Employee Assistance Program. Day-one eligibility is cited, and feedback suggests healthcare is a strong part of the package.
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Leave & Time Off Breadth — Time off is framed around a flexible Rest & Re‑Energize approach, with multiple mentions of open/unlimited PTO and paid holidays. Feedback suggests employees value the flexibility and immediate access to leave.
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Parental & Family Support — Parental and family benefits include paid maternity, paternity, adoption, and family medical leave. Coverage extends to family-building support such as fertility and adoption expense funding, which feedback suggests is a differentiator.
Druva Insights
What We Do
Druva delivers data protection and management for the cloud era. Druva Cloud Platform is built on AWS and offered as-a-Service; customers drive down costs by over 50 percent by freeing themselves from the burden of unnecessary hardware, capacity planning, and software management.
Why Work With Us
We are the leader in cloud data protection and cloud is the way of the future! With over $300M in funding and our Pre-IPO status, it is the perfect time to jump on board. Two of our company values are "challenger mentality" and "one team". We truly believe in the impact we can make together and we are not afraid to push the status quo.
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