17 hours ago
Remote, India or Bengaluru, IndiaStaff+
Responsibilities
- Lead the design, development, and implementation of scalable API and UI test automation frameworks and strategies.
- Provide technical leadership, guidance, prioritization, and mentorship to Quality/Test Automation Engineers.
- Establish automation standards, coding practices, and quality engineering best practices.
- Develop API and UI automation using Java, Karate, Selenium, JUnit, and TestNG.
- Evaluate automation tools and recommend solutions based on technical and business needs.
- Partner with Engineering, DevOps, Product, and other stakeholders to define automation goals and priorities.
- Integrate automated tests into CI/CD pipelines and improve continuous testing across the software delivery lifecycle.
- Define and monitor automation metrics and KPIs for coverage, reliability, and effectiveness.
- Drive continuous improvement and innovation across automation processes, frameworks, and tools, including AI opportunities.
- Create technical documentation and training materials and deliver training on automation tools and practices.
- Remain hands-on with automation development, troubleshooting, and manual or exploratory testing when needed.
Requirements
- 7–10 years of software testing or quality engineering experience.
- 4–5 years of hands-on automation testing experience or equivalent automation training.
- Experience leading technical automation initiatives and mentoring engineers.
- Strong hands-on programming skills in Java, including Core Java concepts.
- Extensive experience with Karate, Selenium, JUnit, and TestNG.
- Strong understanding of CI/CD processes and tools and experience integrating automated tests into delivery pipelines.
- Strong analytical, problem-solving, strategic-thinking, communication, collaboration, and interpersonal skills.
- Bachelor’s degree in Computer Science, Information Technology, or a related field preferred, or equivalent relevant experience.
- Preferred experience with performance testing using JMeter and/or LoadRunner.
- Preferred experience working in an AWS cloud environment.
- Preferred knowledge of Docker and Kubernetes.
- Experience or interest in AI-driven testing and intelligent automation.
Benefits
- Flexible work environment and fluid career paths with support for internal mobility.
- Emphasis on purpose, well-being, work-life balance, and an inclusive workplace.
- Opportunity to influence automation architecture and engineering standards, mentor engineers, and work with AI, cloud, and continuous testing technologies.
- Professional office environment using standard office equipment.
Tech Stack
Categories
