Automation Engineer - Film / Music / Entertainment (Mumbai) - 2-4 Yrs

Quantiphi
Applicants13
Postedabout 10 hours ago

Job Highlights

Experience2 - 4 Yrs
Salary5-10 LPA
LocationMumbai
Work ModelRemote
RoleAutomation Engineer
Openings3
EmploymentFull-Time
EducationDiploma

Required Skills

PythonSeleniumAPI TestingSQLCI/CDJenkinsGitAgile MethodologiesProblem-SolvingCommunication SkillsAttention to DetailDiploma in Engineering

Job Description

We are seeking a motivated Automation Engineer with 2-4 years of experience to join our dynamic team in Mumbai. The ideal candidate will have a strong foundation in automation principles and a passion for the entertainment industry. You will play a crucial role in developing and implementing automated solutions to streamline workflows, enhance content delivery, and improve operational efficiency within our media and entertainment projects.

Key Responsibilities:
- Design, develop, and maintain automated testing frameworks for various applications and systems.
- Write and execute automated test scripts, ensuring comprehensive test coverage.
- Collaborate with development teams to identify automation opportunities and integrate automated solutions into the CI/CD pipeline.
- Analyze test results, identify defects, and report issues effectively.
- Troubleshoot and resolve automation-related issues.
- Contribute to the continuous improvement of automation processes and best practices.
- Work with stakeholders to understand requirements and translate them into automated solutions.
- Document automation procedures and test plans.

About Quantiphi

Quantiphi is a leading AI-first digital transformation company that helps enterprises accelerate their businesses by leveraging data and AI. Founded in 2015, Quantiphi has rapidly grown to become a trusted partner for global organizations across various industries, including media and entertainment. They specialize in building bespoke AI solutions, advanced analytics, and cloud-native applications to drive innovation and efficiency for their clients. Their expertise spans machine learning, natural language processing, computer vision, and data engineering.

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