Description

1. Automation Framework Engineering

• Collaborate closely with developers to understand system architecture, data flows, and event-driven behaviors for effective automation design.
• Build and enhance end-to-end automation frameworks supporting API, integration, and data validation layers.
• Develop integration test suites to ensure reliability and stability across development and pre-production environments.
• Automate regression, functional, and event-driven validations using Playwright, PyTest, TestNG, and related tools.
• Contribute to modernization initiatives transitioning from legacy to distributed systems, ensuring comprehensive automation coverage and system resilience.

2. AI & Intelligent Test Enablement

• Leverage tools such as GitHub Copilot, ChatGPT, and LLM-based agents to assist in automation scripting, test generation, and analysis.
• Integrate GenAI tools for test documentation, failure triage, and predictive quality analytics.
• Experiment with autonomous testing agents capable of self-triggering and monitoring test pipelines.
• Drive the adoption of AI-enhanced automation strategies to improve efficiency, quality insights, and test coverage.

3. Cloud & DevOps Integration

• Integrate automation frameworks within CI/CD pipelines (GitHub Actions, Jenkins, TeamCity) to enable continuous validation.
• Deploy and manage test environments on AWS (EKS, SQS, Glue, Lambda, DynamoDB, PostgreSQL).
• Implement observability and test telemetry to monitor pipeline health, performance, and coverage trends.
• Collaborate with DevOps and platform engineering teams to ensure environment consistency, scalability, and release readiness.

4. Agile Collaboration & Leadership

• Actively participate in Agile/Scrum ceremonies—including sprint planning, daily standups, and retrospectives—to align testing and development objectives.
• Mentor engineers in automation best practices and modern framework adoption.
• Foster cross-functional alignment by collaborating with developers, architects, and product owners to ensure quality is engineered from the start.
• Champion a quality-first culture by embedding continuous testing and automation throughout the delivery lifecycle.

Tech Stack & Tools:

• Languages: Java/C#/ Python, JavaScript/TypeScript
• Frameworks: Playwright, Selenium, PyTest, TestNG, JUnit
• Cloud & DevOps: AWS (EKS, Glue, SQS, Lambda, DynamoDB), Jenkins, GitHub Actions, Docker, Kubernetes
• Databases: PostgreSQL, Redis, DynamoDB, MongoDB
• AI Tools: GitHub Copilot, ChatGPT, OpenAI Assistants
• Methodologies: Agile, Scrum, Domain-Driven Design, Event-Driven Architecture

Required Skills & Experience:

• Experience in test automation and quality engineering within complex enterprise environments.
• Strong understanding of software development workflows with proven collaboration alongside development and architecture teams.
• Expertise in Playwright and API automation frameworks, with proficiency in Java, Python, or C#.
• Experience testing event-driven systems and microservice-based architectures.
• Hands-on experience with AWS cloud services and CI/CD automation practices.
• Exposure to GenAI tools (Copilot, ChatGPT, LLM-based assistants) for enhanced automation productivity.
• Proven experience working in Agile/Scrum environments as an active and contributing team member.

Preferred Qualifications:

• Knowledge of AI-based automation, autonomous test agents, or intelligent QA platforms.
• Certifications in AWS DevOps, Google Cloud, or Azure Fundamentals.
• Experience with financial systems or data-intensive platforms.
• Strong leadership and communication skills, with a passion for mentoring and cross-functional collaboration

Key Skills

Education

Bachelor's degree