Weekend Hiring Drive | QA Engineer (Networking Domain)
Cognyte Pune City, Maharashtra, India
Software Development · 1,001-5,000 employees
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About the role
The QA Engineer will analyze product requirements and technical designs to ensure high-quality delivery of network traffic analysis solutions. They will execute manual and automated tests, track defects, and collaborate with cross-functional scrum teams to maintain product quality.
What they look for
Requirements
Candidates must have at least 3 years of experience in software testing for complex systems and a degree in Computer Science or Engineering. Proficiency in Linux, networking protocols, and test automation frameworks is required.
Full description
Curious about what it’s like to work at Cognyte?
At Cognyte, you’ll collaborate with expert colleagues around the globe to solve problems most people will never even know exist!
You’ll be part of building unique solutions shaped by real investigative methodologies, enabling our customers to identify, investigate, visualize and prevent criminal, terror and security threats worldwide.
These solutions are used by law enforcement, national security, and military intelligence agencies worldwide to turn massive, diverse data into clear, actionable intelligence for a safer world.
Who you’ll be working with:
The IP Network Intelligence team in Pune is looking for a QA Engineer to join our world of IP protocols and deep packet inspection. You will work as part of a scrum development team alongside developers, architects, product owners, and QA engineers, while collaborating closely with additional IP scrum teams across Israel and Bulgaria.
As a key member of the team, you will help deliver high-quality solutions for analyzing and inspecting complex network traffic and communication protocols.
As a Cognyter you will:
- Take ownership of the quality of the team’s deliveries throughout the development lifecycle.
- Analyze product requirements, user stories, and technical designs to ensure testability and coverage.
- Create and maintain test plans, test cases, and test documentation for new features and enhancements.
- Test scrum team epics and features, ensuring they meet functional and non-functional requirements.
- Execute manual end-to-end, integration, regression, and system-level testing across multiple components and systems.
- Analyze network traffic and application behavior using packet capture and analysis tools.
- Identify, investigate, document, and track software defects using Jira.
- Work closely with developers, architects, and product owners to clarify requirements and resolve issues.
- Participate actively in agile ceremonies including planning, refinement, daily standups, reviews, and retrospectives.
- Assess quality risks and provide clear visibility into product quality and release readiness.
- Contribute to continuous improvement of QA processes, methodologies, and test coverage.
- Develop and maintain automated tests using an internal automation framework to increase test coverage and improve delivery quality.
Requirements
For that mission you’ll need:
- 3+ years of experience in software testing of complex systems.
- B.Sc. in Computer Science, Information Technology, Engineering, or an equivalent degree.
- Knowledge of SQL, Linux, Wireshark, and Windows Servers.
- Testing experience with 3G, 4G, VoLTE, and 5G technologies.
- Testing experience with IP protocols such as VOIP, TCP/IP, FTP, and related networking protocols.
- Experience working with CI/CD pipelines and tools such as Jenkins, Docker, or equivalent technologies.
- Strong working knowledge of Linux associated tools, scripting and troubleshooting
- Experience with end-to-end testing across multiple systems.
- Good understanding of client-server architecture and distributed systems.
- Experience creating test plans, test cases, and test documentation.
- Experience with test automation and scripting, including writing and maintaining automated tests using test automation frameworks.
- Experience working with Jira, Quality Center, or similar defect-tracking tools.
- Experience utilizing AI-powered tools and technologies to improve testing efficiency, test design, defect analysis, troubleshooting, and overall software quality processes.
- Strong analytical and troubleshooting skills.
- Ability to work independently while being an effective team player.
- Good communication and collaboration skills.
- Excellent English – verbal and written.
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