E2E Network Test Engineer

In the assigned Job Role of Technology Consultant 2, your Area Of Responsibility will be as below:

Contribute to the requirements elicitation process by documenting assigned parts of business requirements, in line with guidance provided Facilitate software application design discussions, and document design decisions to guide the technical team towards building software solutions Participate in coding and integrate new features or updates into existing applications, with a focus on maintaining system stability Conduct code reviews, do changes to the codebase and maintain code repositories Implement test strategies, analyse results, and coordinate bug fixes to uphold the software quality standards Develop user training programs, documentation, and support frameworks to ensure a smooth transition to new software applications Actively participate in resolving production issues and recommend preventive strategies to enhance system reliability Maintain detailed records of code, testing techniques, and support activities to enrich the knowledge base and assist other similar projects

A collaborative spirit and excellent communication skills. The ability to handle end to end SDLC phases from requirement gathering to implementation. A knack for translating complex requirements into actionable development tasks. A passion for design and hands-on coding experience A proactive approach to testing, troubleshooting, and refining our applications. The ability to work with cross-functional teams and do software integration., * Hands-on experience in E2E Quality assurance and should have implemented Test Automation solution for Sanity, Smoke, Regression testing

• Experience in Telecom / OSS / BSS systems and Network systems
• Hands-on experience in implementing Test automation solutions using Playwright, Java, Python, Selenium, TestNG, API Automation, BDD Cucumber, Appium, RPA BOTS.. etc
• Knowledge of software test life cycle activities and agile methodologies
• Experience in Unix/Linux, shell scripting
• Experience in CI/CD, DevOps and monitoring tools involving Jenkins, Kubernetes, Docker, Grafana, Newrelic
• Experience in AWS cloud technologies
• Optional experience in Agentic AI solutions for across test life cycle
• Certifications in Network technologies like CCNA, CCNP ..etc will be an added plus, * Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
• This position may require relocation and/or travel to work/project location.
• Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role now or in the future.

Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits:

• Medical/Dental/Vision/Life Insurance
• Long-term/Short-term Disability
• Health and Dependent Care Reimbursement Accounts
• Insurance (Accident, Critical Illness , Hospital Indemnity, Legal)
• 401(k) plan and contributions dependent on salary level
• Paid holidays plus Paid Time Off

Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem., The Infosys Engineering unit is dedicated to amplifying product-centric value delivery through innovative engineering solutions. We focus on adopting a data-first approach to engineering and value-stream management, enabling real-time visibility into the flow of value. Our team leverages advanced technologies such as AI, ML, and predictive analytics to drive continuous improvement, enhance delivery processes, and accelerate time to market. Join us to be part of a team that is at the forefront of engineering innovation, delivering intelligent insights and empowering stakeholders to achieve hyper-productivity and sustainable growth.