QA Engineer : Automation Regression Testing : Scale Stress Testing AR Xtlabs

1.0 - 3.0 years

3 - 6 Lacs

Bengaluru

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Job Title: QA Engineer - Automation Regression Testing | Scale & Stress Testing Location: [Remote / Hybrid / Onsite Any Location] Contract Duration: Minimum 1 Year Work Type: Onsite Location : Banglore Overview: We are actively hiring multiple QA Engineers to join our team on a long-term contract basis. We have open positions across different QA domains, including Automation & Regression Testing and Scale & Stress Testing . This is an exciting opportunity to work in a technically challenging environment with a focus on networking, Python automation, CI/CD integration, and modern test frameworks. Whether you're experienced in regression automation, UI testing, or performance benchmarking, we encourage you to apply and be part of our growing QA team. Key Responsibilities: Design, implement, and maintain automated test suites using Python. Develop and execute robust regression tests and performance test cases. Create, manage, and monitor CI/CD-integrated automation pipelines. Analyze system and application performance under load and identify bottlenecks. Work closely with developers, DevOps, and product teams to ensure high-quality releases. Write clear test documentation, bug reports, and maintain traceability of test coverage. Drive automation across both backend APIs and frontend UI, including tools like Playwright. Technical Skills & Requirements: Strong Python programming skills for automation and test scripting. Experience with networking protocols (TCP/IP, HTTP/HTTPS, DNS) and networking test automation. Regression testing experience including test case development and execution. Experience with UI test automation , preferably using Playwright (via ROBO or equivalent frameworks). CI/CD pipeline setup and integration experience (e.g., Jenkins, GitLab CI, CircleCI). Experience with scale and stress testing of systems and applications. Familiarity with AWS services and APIs (EC2, S3, Lambda, etc.). Knowledge of Docker and Kubernetes is a plus. Prior use of infrastructure automation tools like Terraform or Ansible is a bonus. Qualifications: Bachelors or Masters degree in Computer Science, Engineering, or related field. Minimum 1+ years of relevant QA engineering experience . Excellent analytical, troubleshooting, and communication skills. Ability to work independently in a remote/distributed team environment.

Posted 3 days ago

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Senior Performance/Scale Test Engineer Nokia

5 - 8 years

9 - 14 Lacs

Chennai

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Skilled in performance and scale testing of cloud-based network solutions with hands-on experience in test design, setup, execution, and reporting in CI/CD and DevOps environments. You have: Bachelor's Degree in Engineering/Technology specialising in Computer science/Electronics and Communication/Information Technology with 8-15 years of experience in test design, test bed preparation/setup, test execution and reporting Experience in different kinds of software testing (functional, regression and/or non-functional testing) Experience in Performance/Scale testing Good L2/L3 knowledge with hands on experience with SNMP/Netconf protocols Experience in IDE's, automation frameworks, defect tracking tools, and version control systems If would be nice if you also had: Knowledge of OSGi, Microservices, Kubernetes, SDN/NFV. testing Cloud based solutions, CI/CD and Devops environment. Fixed broadband (DSL/PON) products is preferable Good knowledge of Unix, understanding of Java and J2EE concepts Design and implement robust manual and automated test cases tailored to complex network management features. Analyze feature requirements to create precise test plans addressing functional, regression, and non-functional scenarios. Perform performance and scalability testing to ensure the product meets demanding real-world conditions. Collaborate with R&D and Product Management to validate feature completeness and ensure high-quality delivery. Test integration points between multiple products, ensuring seamless interoperability in end-to-end network solutions. Adapt test strategies based on customer feedback and field deployments to ensure relevance and accuracy. Gain deeper understanding of SDN/NFV, fixed broadband technologies (DSL/PON), and telecom-grade reliability standards.

Posted 1 month ago

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