Roles and Responsibilities:

Test Strategy & Architecture:

Define and implement a scalable QA strategy, covering automation frameworks, performance testing, test environments, CI/CD pipelines, and test data management.
Design an AI-driven automation analysis dashboard to accelerate issue detection and improve automation insights.
Define guidelines for test automation coverage, performance benchmarking, security testing, and regulatory compliance (eg, PCI-DSS, GDPR).

Automation & Tooling:

Develop and maintain robust, reusable automation frameworks for web, API, Android, and iOS.
Ensure seamless CI/CD integration with automation pipelines, enabling fast and reliable releases.
Lead efforts to optimize test execution time, parallelization, and stability across platforms.
Drive adoption of AI-powered automation for test failure analysis, reporting, and risk-based testing.

Performance Testing & Optimization:

Define and execute performance testing strategies for web, API, and mobile applications.
Develop scalable load, stress, endurance, and capacity testing frameworks using JMeter, Gatling, k6, or similar tools.
Establish baselines and SLAs for system latency, throughput, and scalability.
Work with DevOps and Engineering to analyze performance test results, identify bottlenecks, and suggest improvements.
Integrate performance testing into CI/CD pipelines, ensuring continuous validation of system performance.
Collaborate on capacity planning and infrastructure optimizations to handle high-traffic fintech transactions.

Process Optimization & Governance:

Establish best practices for test design, automation coding standards, performance tuning, and test data management.
Work with PMs, developers, and DevOps to ensure early testing and shift-left QA practices.
Define KPIs & OKRs to measure test efficiency, automation ROI, performance benchmarks, and production bug leakage.
Continuously evaluate and introduce new testing tools, frameworks, and methodologies.

Collaboration & Leadership:

Work closely with Product, Engineering, DevOps, and Security teams to ensure quality is built-in from day one.
Mentor and guide QA engineers, performance engineers, and automation teams, setting clear expectations and goals.
Drive a culture of quality ownership by promoting developer-involved testing and cross-team UAT processes.
Lead proof-of-concept (POC) initiatives for new tools, automation platforms, and AI-driven solutions.

Must Have Skill

12+ years of experience in QA, Test Automation, and Performance Testing
Proven expertise in designing scalable automation and performance testing frameworks (Web, API, Mobile)
Strong knowledge of Selenium, Appium, RestAssured, and similar tools
Hands-on experience with CI/CD pipelines (Jenkins, GitHub Actions, Bitbucket, etc)
Proficiency in one or more programming languages (Java, Python, JavaScript, Kotlin)
Applied experience with AI/ML in testingusing or integrating tools for:
Test case generation
Flaky test detection and failure analysis
Risk-based test selection or prioritization
Self-healing automation
Knowledge of cloud-native testing strategies (e.g., testing on Docker/Kubernetes, dynamic environments, ephemeral test infra)
Ability to define test data strategies, work with masked/synthetic data, and manage test environments
Comfortable collaborating with DevOps and SREs on shift-left performance and monitoring strategies
Track record of mentoring engineers, conducting code reviews, and setting automation best practices
Expertise in performance testing tools (JMeter, Gatling, k6, Locust) and profiling tools (New Relic, Dynatrace, Grafana)
Experience with API performance testing, load balancing, and cloud scalability
Deep understanding of test environments, service virtualization, and data masking strategies
Experience working in Agile/Scrum teams and knowledge of test planning, execution, and reporting.

Qualification:

QA Architect