Overview
As a Senior Software Engineer (QA / SDET) on the Druva Product Platform team, you will lead quality engineering across distributed multi-tenant microservices, high-throughput APIs, and asynchronous event streams. You will build scalable automation frameworks, develop test strategies, and embed automated quality gates into CI/CD deployment pipelines.
What you'll do
- 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.
What you'll need
- 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.
Nice to have
- 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.
Details
- Location: Pune, Maharashtra, India.
Read the full description and apply on the company’s own careers page.