Senior Staff Software Engineer in Test

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Team & Mission: Druva Product Platform

The Druva Product Platform team builds the shared core SaaS application foundation that every Druva product is built on. Our multi-tenant services, APIs, and control-plane capabilities manage tenant provisioning and lifecycle, Identity & Access Management (IAM/RBAC), distributed job scheduling, usage metering, and platform observability.

Because every Druva workload depends on this platform, quality and reliability are critical. A bug or latency spike in the platform propagates across the entire Druva ecosystem. Quality Engineering in this team is a pure software engineering discipline: we build scalable automation frameworks, and implement CI/CD quality gates that safeguard billions of operations each year.

As a Senior Software Engineer (QA / SDET) on the Druva Product Platform team, you will be the technical lead for quality engineering across distributed multi-tenant microservices, high-throughput APIs, and asynchronous event streams.

You will build test strategies, test automation frameworks in Python or Go, design functional test suites including scale & chaos engineering, partner with developers from day one (Shift-Left), and embed automated quality gates into CI/CD deployment pipelines.

• Experience with Chaos Engineering methodologies and tooling (Chaos Mesh, AWS FIS, LitmusChaos) to validate system fault tolerance.
• Domain expertise in data protection, backup/recovery, storage systems, virtualization, or cyber resilience.
• Familiarity with enterprise SaaS security testing (OWASP Top 10, auth flows, mTLS, RBAC testing).
• Experience testing event-driven architectures and streaming pipelines (Apache Kafka, AWS SQS/SNS).
• Experience testing Generative AI / LLM workflows and evaluating AI model outputs.
• Experience with Infrastructure as Code (Terraform) for provisioning ephemeral test environments.

• →Design, build, and maintain modular, scalable test automation frameworks in Python or Go for microservices, REST/gRPC APIs, and distributed event pipelines.
• →Formulate comprehensive end-to-end test strategies and test plans for multi-tenant control plane capabilities, IAM, job orchestration, and metering.
• →Drive "Shift-Left" quality by actively reviewing architectural RFCs and PRs, defining testability requirements, edge cases, and acceptance criteria upfront.
• →Design, automate, and execute large-scale concurrency, and stress test suites to uncover bottlenecks before production releases.
• →Implement Chaos Engineering experiments simulating node failures, network latency, and service degradation to validate system resilience.
• →Embed automated regression, API, and integration suites into CI/CD pipelines, providing fast and reliable feedback gates to developers.
• →Analyze production incidents, reproduce edge-case defects, and build permanent automated regression tests to prevent bug leakage.
• →Track and improve Quality Engineering metrics: Defect Escape Rate, Automation Coverage (>90%), and Flaky Test Ratios (<1%).
• →Mentor junior QA engineers and developers in automation framework architecture, clean testing patterns, and quality best practices.

• B.Tech / B.E / M.E / M.Tech in Computer Science, Information Technology, or equivalent practical experience