Senior Staff Software Engineer in Test
Pune, Maharashtra · 5-8 years experience · Posted Oct 7, 2026
At a glance
- Experience
- 5-8 years experience
- Location
- Pune, Maharashtra
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 LinkedIn, X and Facebook.
- 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.
About the role
- 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.
Responsibilities
- 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.
Requirements
- 5–8+ years of progressive experience in software quality engineering / SDET, with a focus on backend distributed systems and multi-tenant SaaS platforms.
- Strong coding skills in Python or Go (Golang) with a deep understanding of data structures, OOP principles, and test automation design patterns.
- Extensive experience in developing test automation frameworks from scratch (using frameworks like PyTest, Testify, RestAssured, Playwright, or Selenium).
- Advanced expertise in RESTful API and gRPC testing, including API contract validation, schema backward compatibility, and mock services.
- Hands-on experience with AWS Cloud services (EC2, S3, RDS, DynamoDB, Lambda, EKS) and containerization (Docker, Kubernetes).
- Strong proficiency in SQL for data validation, state verification, and synthetic test data generation.
- Demonstrated experience integrating automated test suites into CI/CD pipelines (GitHub Actions, Jenkins) with sub-15 minute execution loops and zero tolerance for flaky tests.
- B.Tech / B.E / M.E / M.Tech in Computer Science, Information Technology, or equivalent practical experience
Preferred qualifications
- 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.
Skills
- Python
- Go
- PyTest
- Testify
- RestAssured
- Playwright
- Selenium
- AWS
- Docker
- Kubernetes
- SQL
- GitHub Actions
Show all 15 skills
- Jenkins
- Terraform
- Kafka
