The Cloud QA Automation Engineer will verify and validate a distributed application, primarily focusing on developing and enhancing a Python-based automation framework. Responsibilities include creating test scripts, automating performance tests, designing comprehensive test plans, and ensuring product quality through regression testing and debugging.
We are looking for smart automation QA engineers who will help us verify and validate this large-scale distributed application. As part of the product QA, you will work on the product automation, tools development and setting high benchmarks for the product quality.
This will require a broad top-down understanding of the Tarana Cloud Suite, its components (microservices, UI, databases, etc.), data and control flows between them, runtime infrastructure in the AWS cloud, and network communications with the radio devices. This also means understanding the runtime behaviour of the application, performance implications, infrastructure tuning and capacity management, etc.
Job Responsibilities:
- Understand the Tarana Cloud Suite architecture and gain expertise in all the components involved
- Design, develop and enhance an existing python-based automation framework
- Create UI test scripts using Selenium (or equivalent tools)
- Automate system, scale and performance tests (REST APIs)
- Attend feature design meetings, design comprehensive test plans, create test cases and execute tests
- Review test plans/test code written by other team members
- Own regression test areas and ensure that the product quality is intact despite code churn
- Identify defects and own them through the resolution and verification cycle
- Ensure effective communication of project and testing status to all stakeholders
- Debug problems reported by the customers and reproduce the same in lab environments.
- Own regression test areas and ensure that the product quality is intact despite of code churn
- Contribute to development of tools that enhance test efficiency/management
- Identify defects and own them through the resolution and verification cycle
Required Skills & Experience:
- Bachelor’s/Master's degree in computer science or closely related disciplines
- 2 - 12 years of QA automation experience using Python on microservices-based SaaS products deployed on cloud platforms like AWS, GCP
- Good understanding of Object-Oriented Design methodology
- Experience in functional and system level testing of APIs (familiarity with REST API, JSON, XML) and Frontend (UI)
- Experience of Selenium(or equivalent tools) for UI automation
- Good understanding of QA processes and Agile methodologies
- Exposure to Linux and understanding of Docker containers, VMs etc
- Knowledge of Networking concepts like switching and routing
- Knowledge on ELK (Elasticsearch, Logstash and Kibana), Kafka etc
- Excellent debugging/analytical skills with a focus on solving problems
- Experience of Selenium(or equivalent tools) for UI automation
- Experience with Jira and Confluence
Top Skills
Python
Similar Jobs
Artificial Intelligence • Healthtech • Professional Services • Analytics • Consulting
As a Cloud Engineering Lead at ZS, you will design, implement, and maintain cloud infrastructure on Azure, manage deployment pipelines, and ensure the scalability and security of cloud applications. Your role encompasses deploying Azure resources, managing Kubernetes clusters, and implementing CI/CD pipelines, while providing mentorship to junior team members.
Top Skills:
Python
Artificial Intelligence • Cloud • Sales • Security • Software • Cybersecurity • Data Privacy
The Senior GoLang Engineer will focus on understanding business problems and collaborating across teams to design, prototype, and implement software solutions. The role includes leading feature development and maintaining high standards for code quality, while also adapting to new technologies.
Top Skills:
Go
Artificial Intelligence • Automotive • Computer Vision • Information Technology • Internet of Things • Logistics • Software
The Sr or Lead QA Engineer will manage error handling processes, prioritize defects during product development, facilitate communication between customers and development teams, create dashboards using JIRA, and drive error triage meetings. They will also perform root cause analysis, monitor SLAs, and maintain defect prediction models.
What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.
