Senior QA Engineer with experience working on IGA, IAM Platform

5 - 10 years

18 - 32 Lacs

Posted:1 day ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Role & responsibilities

- Own end-to-end quality for assigned IGA modules (Provisioning, Lifecycle Management, Access Reviews)

- Design and maintain UI and API automation frameworks using Python, Robot Framework, and Playwright

- Integrate automation suites into CI/CD pipelines (Jenkins, Bitbucket) with tagging, reporting, and quality gates.

- Perform deep analysis and debugging of functional, API, and performance issues using logs, traces, and observability tools (Datadog).

- Collaborate with Product, Dev, and DevOps teams to ensure release readiness, RCA on production issues, and automation-first adoption.

- Identify test gaps, optimize regression coverage, and continuously improve QA processes and test visibility.

- Mentor junior engineers and contribute to knowledge sharing, documentation, and framework enhancements.

Preferred candidate profile

- 6-10 years of QA experience, including 3+ years in Python-based automation.

- Hands-on expertise in Robot Framework, Playwright, and API testing (REST, JSON).

- Proven experience testing Identity & Access Management (IAM/IGA) solutions strong understanding of Provisioning, Lifecycle Management (LCM), Access Requests, Role Management, and SSO/SAML.

- Excellent analytical and debugging skills ability to isolate, reproduce, and analyze complex issues across multiple systems.

- Strong attention to detail and an eye for identifying defects, data mismatches, and flow inconsistencies.

- Experience with CI/CD (Jenkins, Bitbucket, AWS pipelines) and test management tools (Zephyr, Jira).

- Familiar with observability tools (Datadog preferred) for root cause and trend analysis.

- Proven ability to communicate clearly, manage scope during tight release cycles, and handle stakeholder feedback constructively

- Experience in Saviynt, SailPoint, or equivalent IGA platforms

- Contribution toward framework scalability, flaky test reduction, or pipeline optimization.

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