Senior Staff Software Engineer in Test (DCP)

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.

Visit druva.com [https://www.druva.com/] and follow us on LinkedIn
[https://www.linkedin.com/company/druva/mycompany/], X
[https://twitter.com/druvainc] and Facebook
[https://www.facebook.com/DruvaInc/].

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:

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.