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$28k – $62k per year (Estimated)
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In office (Pune)
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Druva is a cloud-native SaaS platform providing automated data protection, cyber resilience, and governance across enterprise IT environments. Built natively on AWS microservices, the company operates a "Data Resiliency Cloud" that protects enterprise data across endpoints, cloud applications (like Microsoft 365 and Salesforce), hybrid servers, and virtualized workloads without requiring physical hardware or complex infrastructure management.

About Druva

Druva is the resilience foundation for the AI enterprise, helping organizations secure and recover from connected risk across data, cyber, identity, and AI. The Resilience Cloud is a fully managed, cloud-native SaaS platform that delivers air-gapped and immutable protection across cloud, SaaS, on-premises, endpoint, and edge environments. Powered by Dru MetaGraph, Druva’s graph-powered intelligence layer, the platform connects critical business context so customers can understand risk, respond faster, recover cleanly, and govern data with greater confidence.

Trusted by nearly 7,500 customers, including 75 of the Fortune 500, Druva helps safeguard the critical information and systems businesses depend on in an increasingly connected world.

Visit druva.com  and follow us on LinkedInX  and Facebook.

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.  

About Role

We are seeking a highly skilled Senior 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:

Core Engineering & Systems

  • Strong expertise in Windows/Linux, file systems, and OS-level concepts.
  • Solid understanding of threading, multiprocessing, and socket programming.
  • Good knowledge of networking  and cloud architecture  fundamentals, preferably with exposure to  AWS and/or Azure services  (networking, storage, compute, IAM).

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.
  • Proficiency with tools like GitJiraXRay, etc.
  • Strong analytical and debugging skills.

Desirable Skills

  • Understanding of Docker, or Kubernetes.
  • Experience with NoSQL systems (MongoDB, Cassandra).
  • Experience testing workloads on AWS/Azure, including basic resource setup, debugging and monitoring (Cloudwatch etc).

Qualification:

  • B.Tech / B.E / M.E./ M.Tech (Computer Science) or equivalent.
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