QE SDET
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Job Summary
We are looking for a highly motivated and detail-oriented QE SDET professional with 5 years of experience to join our Quality Engineering team. The ideal candidate will be responsible for building and strengthening automation frameworks validating complex data pipelines and ensuring high-quality releases across Conversational Analytics and platform features.
The role requires strong expertise in automation testing ETL/data validation Python scripting and data pipeline testing.
Requirements
What You Will Do:
- Develop maintain and strengthen the automation regression suite for Conversational Analytics features to support release-over-release quality validation.
- Design execute and maintain automated as well as manual test cases across reporting systems data pipelines and platform functionalities.
- Perform strong SQL-based data validation to ensure data accuracy completeness and consistency across ETL workflows and reporting layers.
- Validate ETL processes data migration activities and end-to-end data flow between systems.
- Collaborate closely with developers product teams and cross-functional engineering work streams to identify track troubleshoot and resolve defects.
- Participate in sprint planning test estimations test execution defect triaging and sprint-level quality sign offs.
- Maintain test documentation test plans test cases defect reports and automation execution reports.
- Contribute to continuous improvement of QA processes automation coverage and testing standards.
Required Skills & Qualifications
- 5 years of experience in Quality Engineering / SDET role.
- Strong experience in:
- Automation Testing
- ETL Testing
- Data Pipeline Testing
- Data Migration Testing
- Python Programming
- SQL/Data Validation
- Hands-on experience in developing and maintaining automation frameworks.
- Strong understanding of data validation techniques and ETL workflows.
- Experience working with large datasets and validating reporting/data analytics platforms.
- Good understanding of Agile/Scrum methodologies and sprint-based execution.
- Strong analytical debugging and problem-solving skills.
- Excellent communication and collaboration abilities.
Preferred Qualifications
- Bachelors/masters degree in computer science Information Technology Engineering or related field.
- Excellent communication and collaboration skills.
- Ability to work in a fast-paced collaborative environment.
Benefits
Employee Benefits
Culture:
- Open Door Policy: Encourages open communication and accessibility to management.
- Open Office Floor Plan: Fosters a collaborative and interactive work environment.
- Flexible Working Hours: Allows employees to have flexibility in their work schedules.
- Employee Referral Bonus: Rewards employees for referring qualified candidates.
- Appraisal Process Twice a Year: Provides regular performance evaluations and feedback.
Inclusivity and Diversity:
- Hiring practices that promote diversity: Ensures a diverse and inclusive workforce.
- Mandatory POSH training: Promotes a safe and respectful work environment.
Health Insurance and Wellness Benefits:
- GMC and Term Insurance: Offers medical coverage and financial protection.
- Health Insurance: Provides coverage for medical expenses.
- Disability Insurance: Offers financial support in case of disability.
Child Care & Parental Leave Benefits:
- Company-sponsored family events: Creates opportunities for employees and their families to bond.
- Generous Parental Leave: Allows parents to take time off after the birth or adoption of a child.
- Family Medical Leave: Offers leave for employees to take care of family members medical needs.
Perks and Time-Off Benefits:
- Company-sponsored outings: Organizes recreational activities for employees
- Gratuity: Provides a monetary benefit as a token of appreciation.
- Provident Fund: Helps employees save for retirement.
- Generous PTO: Offers more than the industry standard for paid time off.
- Paid sick days: Allows employees to take paid time off when they are unwell.
- Paid holidays: Gives employees paid time off for designated holidays.
- Bereavement Leave: Provides time off for employees to grieve the loss of a loved one.
Professional Development Benefits:
- L&D with FLEX- Enterprise Learning Repository: Provides access to a learning repository for professional development.
Required Skills:
Key Responsibilities: Lead the design and development of AI-driven applications particularly focusing on RAG-based chatbot solutions. Architect robust solutions leveraging Python and Java to ensure scalability reliability and maintainability. Deploy manage and scale AI applications using AWS cloud infrastructure optimizing performance and resource utilization. Collaborate closely with cross-functional teams to understand requirements define project scopes and deliver solutions effectively. Mentor team members providing guidance on best practices in software development AI methodologies and cloud deployments. Ensure solutions meet quality standards including thorough testing debugging performance tuning and documentation. Continuously research emerging AI technologies and methodologies to incorporate best practices and innovation into our products. --- Required Qualifications: Bachelors or Masters degree in Computer Science Engineering Data Science Mathematics Statistics or related fields. At least 5 years of professional experience in AI/Machine Learning engineering. Strong programming skills in Python and Java. Demonstrated hands-on experience building Retrieval-Augmented Generation (RAG)-based chatbots or similar generative AI applications. Proficiency in cloud platforms particularly AWS including experience with EC2 Lambda SageMaker DynamoDB CloudWatch and API Gateway. Solid understanding of AI methodologies including natural language processing (NLP) vector databases embedding models and large language model integrations. Experience with leading projects or teams managing technical deliverables and ensuring high-quality outcomes. AWS certifications (e.g. AWS Solutions Architect AWS Machine Learning Specialty). Familiarity with popular AI/ML frameworks and libraries such as Hugging Face Transformers TensorFlow PyTorch LangChain or similar. Experience in Agile development methodologies. Excellent communication skills capable of conveying complex technical concepts clearly and effectively. Strong analytical and problem-solving capabilities with the ability to navigate ambiguous technical challenges.
