Trademo - Senior Quality Assurance Engineer - Manual Testing (2-5 yrs)

Role : Senior QA Engineer

Experience : 2-5 years

Location : Gurgaon (work from office)

Qualifications and Skills :

1) B Tech / M Tech / MCA in Computer Science Engineering or equivalent with 2-5 years of hands-on experience in manual testing, APIs, DB testing, writing test cases, release management and1 year in Automation testing.

2) Must have knowledge of Agile processes, preferably worked in agile development and have exposure to tools like JIRA, ASANA, BUGZILLA, NULAB etc.

3) Should have experience on end to end backend API testing using SOAP UI or POSTMAN.

4) Should have experience in writing complex SQL queries and also hand on database testing by manipulating (ADD/UPDATE/DELETE) test data.

Key Responsibilities :

Leadership and Team Management :

- Lead, mentor, and manage a team of QA engineers.

- Set objectives, provide guidance, and support the professional development of team members.

- Foster a culture of quality, innovation, and continuous improvement within the QA team.

Testing Strategy and Planning :

- Develop and implement the overall testing strategy for the product or project.

- Create and maintain test plans, test cases, and test scenarios.

- Collaborate with stakeholders to determine testing priorities and timelines.

Quality Assurance Execution :

- Oversee the execution of various testing types (functional, non-functional, regression, performance, etc.).

- Ensure that all testing activities are carried out according to defined processes and standards.

- Conduct testing when necessary, and review the test outcomes.

Quality Metrics and Reporting :

- Define and track key quality metrics and KPIs.

- Generate regular reports on quality status, test coverage, and issues found.

- Provide insights and recommendations for improvement based on the test results.

Collaboration and Communication :

- Work closely with development teams to ensure timely resolution of issues.

- Communicate effectively with cross-functional teams to understand requirements and deliverables.

- Participate in project meetings, providing input on quality-related matters.

Tool and Process Improvement :

- Evaluate and implement new tools or processes to improve testing efficiency and effectiveness.

- Identify areas for process optimization and automation within the QA workflow.

Company Description :

Trademo is a globally recognized Supply Chain Intelligence SaaS Company, headquartered in the heart of Palo Alto, CA. At Trademo, we're on a mission to harness the power of data to transform the world of global trade. Our proprietary algorithms gather and analyze public and private data on global trade transactions, sanctioned parties, trade tariffs, ESG, and other events. We process over 50 terabytes of data using cutting-edge technologies like Graph Databases, Vector Databases, ElasticSearch, MongoDB, NLP, and Machine Learning (LLMs) to provide end-to-end visibility into Global Supply Chains.

Our vision is to establish a single source of truth for global supply chains, enabling both large and small businesses to uncover new commerce opportunities, ensure compliance with trade regulations, and enhance operational resilience. Already, over 140+ enterprise customers, including industry giants like Amazon, DHL, Unilever, and Blueberry, trust

Trademo's platform to navigate the complex world of global trade.

Why Trademo :

- Innovation : We were recognized as the most innovative and disruptive startup in the Bay Area in 2022.

- Investment : We're one of the few tech SaaS startups to secure 100 crore rupees in seed funding from marquee investors.

- Leadership : Founded by Shalabh Singhal, a third-time tech entrepreneur with a proven track record of success.

- Global Impact : Our tech-driven team of 40+ top-notch coders and engineering professionals is building high-impact products that resonate from India to the world.

- Diverse Teams : Our team is organized into three verticals:Application Development: NextJs, ReactJs, Django, Elasticsearch, MongoDB, GoLang.

- Platform & DevOps : Terraform (IaC), Kubernetes, CI/CD, and more.

- Data Science & Engineering : Knowledge Graph, GraphDB, Vector Databases, LLMs, NLP, Apache Airflow, TensorFlow, scikit-learn, MLFlow, and beyond.