Role & responsibilities

We are seeking a QA Lead with 10+ years of strong expertise in Automation, Performance Engineering, and Observability to ensure platform reliability across a distributed microservices architecture..

Extensive experience in AI and AI implementation

Hands-on experience with AI Agents and AI-driven workflows The QA Lead will work closely with Engineering, DevOps, and SRE teams to ensure high-quality releases and improved system reliability.

Key Responsibilities

Test Automation Leadership.

Design and maintain automation frameworks for API, integration, and end-to-end testing.

Develop system-level regression suites covering event-driven workflows, data pipelines, and asynchronous processing

Build regression coverage for cross-service customer workflows.

Integrate automation into CI/CD pipelines.

Drive automation best practices across teams.

Tools

API Testing: Postman, RestAssured

UI Automation: Selenium, Playwright

Frameworks: PyTest, TestNG

CI/CD: Jenkins, GitHub Actions, GitLab CI

Performance Engineering

Design and execute load, stress, and endurance testing.

Identify performance bottlenecks in distributed services

Validate system scalability and stability before releases.

Tools

JMeter

K6

Observability & Production Diagnostics:

Monitor system behaviour using observability platforms.





Investigate production incidents and perform root cause analysis.

Reproduce production defects in lower environments.

Identify testing gaps based on incident patterns.

Tools

Datadog

Splunk

AI-Enabled Quality Engineering (Nice to Have):

Experience leveraging AI tools to improve testing efficiency and defect detection.

Examples include

AI-assisted test case generation.

AI-assisted automation development (GitHub Copilot or similar tools)

AI-driven defect clustering and log analysis.

AI-powered anomaly detection from observability data.

Technical Skills

Programming: Python, Java, JavaScript

Test automation frameworks for API and E2E testing

CI/CD pipelines and DevOps workflows

Preferred Experience

Containerized environments (Docker, Kubernetes)

Working with SRE / platform teams

Preferred candidate profile

Immediate joiners .

Please share below details

Full Name as per Aadhar :

Total Experience

Relevant Experience

Current CTC

Expected CTC

Current Company

Payroll Company

Official Notice Period

If Serving (Please share the screen short of LWD ):

Any offers in hand (Please mention CTC) :

Alternative Email ID

Alternative Mobile Number

Perks and benefits

Full Time chance

Direct Payroll

WFO.

📌 Qa Automation Lead (Pune)
🏢 Data Wave Technologies India
📍 Pune