Engineer - Quality Assurance

The company is looking for a passionate Engineer – Quality Assurance obsessed with quality to conduct meticulous quality assurance & testing as per business needs & procedures and ensure the highest levels of data integrity & standards compliance without compromising on application functionality.

Key Responsibilities

• Evaluate & assess application potential by testing the compatibility of new programs with existing systems and ensure adherence to application objectives, specifications, and QA standards.
• Develop application test plans & test cases based on software requirements and technical specifications as shared by the Product/Solution/Technology teams.
• Conduct quality assurance and quality control tests for new and existing application solutions developed by the Product Department.
• Assess application security controls and ensure adherence to data integrity standards.
• Maintain a record of all changes and modifications made across applications and develop bug reports for the reference of end-users and support teams.
• Prepare reference documents and guides for users, clearly outlining the operating instructions and procedures.
• Comply with QHSE (Quality Health Safety and Environment), Business Continuity, Information Security, Privacy, Risk, Compliance Management, and Governance policies and related risk assessments.

Requirements

• Bachelor's Degree in Artificial Intelligence, Computer Science, Business Analytics, Engineering or a related field.
• Minimum 5 years of experience in planning, designing & managing software quality assurance & testing.
• At least 3 years of experience in testing in a product development organization or analytics industry.
• Experience with web application testing using popular tools/frameworks (e.g., Postman, SoapUI, Robot, Selenium, Cypress).
• Familiarity with test management tools: JIRA, Confluence, TestRail, QC.
• Programming ability in CoreJava, Python, or JavaScript is a plus.
• Experience in big data & AI products is a plus (e.g., data quality, data mapping, data cleaning, SQL jobs, Spark, ElasticSearch).
• Knowledge of tech-ops like Kubernetes, Docker, shell, and cloud services is a plus.
• At least 3 years of experience in Agile development methodologies in an AI service organization or analytics industry.

What working at the company offers

• Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.
• Career: Accelerate your career through high-impact projects and access to resources for continuous growth and learning opportunities.
• Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits, and more.