Infosys—Telecom Domain Testing Consultant

Job description

Description: Promote automation-first testing by identifying high‑value regression areas and partnering with automation teams to build scalable test suites. Collaborate with cross‑functional teams to clarify requirements, mitigate risks, resolve defects, and ensure release readiness. Define and track quality metrics (defect density, coverage, escape defects, execution progress) with clear stakeholder reporting. Requirements: About the job: As a Quality Engineering Lead in the telecom domain, you will play a pivotal role in ensuring that complex billing and telecom solutions perform with accuracy, reliability, and scale. You will lead testing initiatives across multiple projects, guiding teams to design and execute robust test strategies that safeguard critical customer and revenue-impacting journeys. This role offers the opportunity to work closely with cross-functional teams—product owners, architects, developers, and operations—to build a culture of quality from the ground up. You will leverage your telecom billing expertise, API knowledge, and automation mindset to drive continuous improvement in test coverage and efficiency. If you enjoy solving challenging problems, mentoring others, and influencing quality practices in a collaborative environment, this role will give you the platform to make a visible impact on both technology and business outcomes. Responsibilities: Promote automation-first testing by identifying high‑value regression areas and partnering with automation teams to build scalable test suites. Collaborate with cross‑functional teams to clarify requirements, mitigate risks, resolve defects, and ensure release readiness. Define and track quality metrics (defect density, coverage, escape defects, execution progress) with clear stakeholder reporting. Skills: Experience working in Agile or hybrid models, contributing to sprint ceremonies and CI/CD pipelines from a quality standpoint. Ability to translate complex billing and business rules into effective positive, negative, and boundary test scenarios. Effective stakeholder communication, clearly articulating quality status, risks, and dependencies to business and technical leaders.