Job description

Sr. QA Engineer

Experience Required: 5 to 8 years

Location: Remote (Bangalore)

Openings: 1

Role Overview:

We are looking for a highly skilled QA Engineer with strong expertise in API testing, system-level validation, and infrastructure-oriented applications. The candidate will play a key role in validating a hardware inventory and monitoring platform built using Django, DRF, and Kubernetes, ensuring it meets production-grade reliability, performance, and scalability standards.

Responsibilities:

Own the end-to-end test strategy and planning for our Inventory Management System and Redfish Exporter, ensuring system integrity across environments.
Design and implement test cases for:
REST APIs (CRUD, pagination, filtering, Prometheus service discovery)
Hardware data ingestion from Redfish API
Integration with external systems: Vault, Entra (Azure AD), ServiceNow
Kubernetes deployment behaviors (via Helm), including ingress, secrets, and load balancing
Validate data accuracy of inventory records (CPU, Memory, Storage, BIOS, etc.) across backend and UI.
Perform functional, regression, system, and load testing as features are developed.
Design and execute load and stress testing scenarios to validate system performance under scale:
Large number of Redfish targets (e.g., 15k+ servers)
Concurrent API usage and UI queries
Automate API and backend testing using tools like Pytest, Postman/Newman, or similar.
Use tools like Locust, k6, or JMeter to simulate concurrent load and capture performance benchmarks.
Validate Grafana dashboards and Prometheus metrics consistency for monitoring.
Collaborate with developers and DevOps on CI/CD test integration using GitHub Actions.
Work with developers to enforce quality gates via SonarQube and validate code coverage thresholds.

Required Skills:

5+ years of hands-on QA experience in backend systems, REST APIs, and infrastructure testing.
Strong in Python-based testing frameworks like pytest, unittest, etc.
Hands-on experience with API testing tools (Postman, Swagger, Pytest, etc.).
Experience with load testing frameworks (e.g., Locust, k6, JMeter).
Familiarity with CI/CD pipelines, test integration in GitHub Actions or similar.
Strong understanding of Linux, Docker, and Kubernetes deployments (Helm preferred).
Knowledge of Prometheus/Grafana, metrics validation, and observability practices.
Good understanding of security testing and access control (e.g., JWT, secrets, RBAC).
Working knowledge of relational databases (PostgreSQL/MySQL) for test validation.

Nice to Have:

Exposure to Redfish APIs, server hardware lifecycle, or BMC tools (iLO, iDRAC).
Experience testing applications that interact with Vault, ServiceNow, or Azure AD (Entra).
Basic understanding of SonarQube, coverage analysis, and test reporting automation.
Prior experience working in SRE/DevOps-focused environments.

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