Software Engineer (Quality Engineering)

About the job

Employment Type Permanent

Closing Date 17 Oct 2026 11:59pm

Job Title Software Engineer (Quality Engineering) Job Summary As a Software Engineer (Quality Engineering) at Telstra, you will be responsible for driving quality across the software development lifecycle through modern test automation, AI-powered quality engineering practices, and continuous testing. You will partner closely with developers, architects, and product teams to build scalable automation frameworks, enable shift-left testing, and deliver reliable, high-quality customer experiences at scale. Leveraging technologies such as Playwright, Selenium, Java, Azure, CI/CD, and Generative AI tools, you will help accelerate software delivery while maintaining engineering excellence and operational resilience.

Role Overview

We are looking for a passionate and innovative Quality Engineer who thrives on automation, continuous improvement, and engineering excellence. This role will focus on building scalable test automation solutions, driving Shift-Left quality practices, and leveraging AI-powered capabilities to transform software testing and delivery.

You will work closely with developers, architects, product teams, and technology leaders to ensure quality is embedded throughout the software development lifecycle.

Key Responsibilities

Design, develop, and maintain scalable automation frameworks for Web, API, Mobile, and Backend applications.

Build and integrate automated test suites into CI/CD pipelines to enable faster, reliable, and high-quality deployments.

Champion Shift-Left testing by identifying quality risks early and embedding testability into solution design.

Collaborate closely with engineers and product teams to drive quality throughout the development lifecycle.

Continuously enhance automation coverage, framework reliability, and testing efficiency.

Analyze test results and quality metrics to provide actionable insights and improve product quality.

Design and execute functional, integration, regression, API, and performance testing strategies.

Drive adoption of AI-powered quality engineering practices, including intelligent test generation, defect analysis, and test optimization.

Evaluate emerging testing tools, AI technologies, and automation capabilities to improve engineering productivity.

Mentor and enable teams to adopt best practices in quality engineering and test automation.

Required Skills & Experience

Strong passion for automation, innovation, and eliminating manual effort through engineering solutions.

Hands-on experience in automation testing using: Java Playwright Selenium API Testing Appium

Proven experience designing and implementing scalable automation frameworks and testing solutions.

Strong debugging, troubleshooting, and analytical problem-solving skills.

Experience with TDD, BDD, CI/CD practices, and modern software engineering methodologies.

Working knowledge of SQL, databases, and data validation techniques.

Experience with performance testing tools such as JMeter, Gatling, or Locust.

Familiarity with cloud technologies, preferably Microsoft Azure.

Experience with cloud-based testing platforms such as BrowserStack and LambdaTest.

Strong understanding of Agile delivery and cross-functional collaboration.

Hands-on experience leveraging Generative AI tools such as GitHub Copilot, Microsoft Copilot, and similar AI assistants to enhance engineering productivity.

Understanding of AI/LLM testing, Prompt Engineering, Retrieval-Augmented Generation (RAG), and quality assurance practices for AI-powered applications.

Experience implementing AI-driven testing approaches, including intelligent test generation, self-healing automation frameworks, and predictive quality engineering techniques.

Continuous learner with a passion for emerging technologies and innovation.

Preferred Qualifications

Experience facilitating quality engineering workshops, communities of practice, or technical training sessions.

Telecommunications domain experience, particularly OSS/BSS platforms.

Knowledge of Security Testing, Mobile Automation, and Contract Testing.

Experience testing AI, Machine Learning, or Generative AI-enabled applications.

Familiarity with Azure OpenAI, GitHub Copilot, AI-assisted development tools, or similar AI ecosystems.

Experience designing and executing large-scale performance and load testing solutions.

Exposure to DevOps and Site Reliability Engineering (SRE) practices. Job Description About Telstra At Telstra, our purpose is to build a connected future where everyone can thrive. As Australia's leading telecommunications and technology company, we connect millions of people, businesses, and communities through innovative digital solutions and world-class technology. With over 100 years of heritage and a presence across 20+ countries, Telstra continues to lead innovation in 5G, Cloud, Artificial Intelligence, IoT, and Automation. Our India teams, based in Bangalore, Mumbai, and Delhi, play a critical role in delivering next-generation products, platforms, and customer experiences that power Telstra's future. Joining Telstra means working on meaningful challenges, collaborating with talented teams globally, and making a real impact through technology and innovation.

Role Overview We are looking for a passionate and innovative Quality Engineer who thrives on automation, continuous improvement, and engineering excellence. This role will focus on building scalable test automation solutions, driving Shift-Left quality practices, and leveraging AI-powered capabilities to transform software testing and delivery. You will work closely with developers, architects, product teams, and technology leaders to ensure quality is embedded throughout the software development lifecycle.

What We Offer

- Performance-related pay

- Access to thousands of learning programs so you can level-up

- Global presence across 22 countries; opportunities to work where we do business.

- Up to 26 weeks maternity leave provided to the birth mother with benefits for all child births

- Up to 16 weeks paid paternity leave provided to the non-birthing partners

- Employees are entitled to 21 paid annual leaves per calendar year

- Eligible employees are entitled to 12 days of paid sick / casual leave per calendar year

- Relocation support options across India, from junior to senior positions within the company

- Receive insurance benefits such as medical, accidental and life insurances

Key Responsibilities

- Design, develop, and maintain scalable automation frameworks for Web, API, Mobile, and Backend applications.

- Build and integrate automated test suites into CI/CD pipelines to enable faster, reliable, and high-quality deployments.

- Champion Shift-Left testing by identifying quality risks early and embedding testability into solution design.

- Collaborate closely with engineers and product teams to drive quality throughout the development lifecycle.

- Continuously enhance automation coverage, framework reliability, and testing efficiency.

- Analyze test results and quality metrics to provide actionable insights and improve product quality.

- Design and execute functional, integration, regression, API, and performance testing strategies.

- Drive adoption of AI-powered quality engineering practices, including intelligent test generation, defect analysis, and test optimization.

- Evaluate emerging testing tools, AI technologies, and automation capabilities to improve engineering productivity.

- Mentor and enable teams to adopt best practices in quality engineering and test automation.

Required Skills & Experience

- Strong passion for automation, innovation, and eliminating manual effort through engineering solutions.

- Hands-on experience in automation testing using: Java Playwright Selenium API Testing Appium

- Proven experience designing and implementing scalable automation frameworks and testing solutions.

- Strong debugging, troubleshooting, and analytical problem-solving skills.

- Experience with TDD, BDD, CI/CD practices, and modern software engineering methodologies.

- Working knowledge of SQL, databases, and data validation techniques.

- Experience with performance testing tools such as JMeter, Gatling, or Locust.

- Familiarity with cloud technologies, preferably Microsoft Azure.

- Experience with cloud-based testing platforms such as BrowserStack and LambdaTest.

- Strong understanding of Agile delivery and cross-functional collaboration.

- Hands-on experience leveraging Generative AI tools such as GitHub Copilot, Microsoft Copilot, and similar AI assistants to enhance engineering productivity.

- Understanding of AI/LLM testing , Prompt Engineering, Retrieval-Augmented Generation (RAG), and quality assurance practices for AI-powered applications.

- Experience implementing AI-driven testing approaches, including intelligent test generation, self-healing automation frameworks, and predictive quality engineering techniques.

- Continuous learner with a passion for emerging technologies and innovation.

Preferred Qualifications

- Experience facilitating quality engineering workshops, communities of practice, or technical training sessions.

- Telecommunications domain experience, particularly OSS/BSS platforms.