We are looking for a Senior Software Developer in Test (SDET) to join the Flex Media Platform
engineering QA team to develop and maintain a test automation platform that enables Dalet to
deliver complex software rapidly without compromising quality.
Dalet empowers media-rich organizations to transform their production and distribution workflows
– accelerating media operations, maximizing collaboration and creating higher value from content.
As a leading media technology and service provider with over three decades of innovation, our
software solutions enable greater control, enhanced visibility and increased productivity for content
professionals and storytellers around the globe.
Leading organizations such as Fox Networks Group, Arsenal Football Club, MediaCorp, Audi, and the
BBC trust Dalet to support their daily content operations. Our team is driven by a passion for media
and committed to empowering a world where compelling stories are beautifully made, effortlessly
told, and thoughtfully delivered.
Roles and responsibilities
• Engage with product owners and engineers, understand product design objectives and
features being delivered to develop and execute test plans.
• Develop and maintain automated test suites which are executed by CI/CD pipelines to verify
the functionality of service and platform features.
• Develop comprehensive multi component and system wide automated regressions tests
suites that assure quality prior to product releases.
• Develop load and performance test suites to verify non-functional requirements are met and
maintained.
• Participate in Agile development ceremonies including sprint planning and sprint
retrospectives.
• Investigate issues raised by customer and help support and operations teams to resolve
issues.
• Research and investigate new test tools and methodologies to maintain state of the art testing
practices and processes.
What you will bring
• A Bachelor's degree in computer science, computer engineering, or a related field.
• At least 5 years of software QA experience with a strong emphasis on automation.
• Strong experience of coding and programming skills in Java / Node JS.
• Expertise in building Test Automation Frameworks using Cucumber, Selenium, TestNG/Junit
or API / Webservices, Mocha or Jest, Maven and ANT build tools.
• Experience in API Test Automation using Rest Assured, JSON and Postman.
• Experience in developing web frontend test automation using Selenium or similar.
• Experience working with Jenkins or similar CI/CD platforms.
• Exposure to Behaviour Driven development.
• The ability to recognise risk and errors in software systems.
• A passion for testing, development, and design.
• Experience with Performance Engineering using tools like JMeter is a Plus.
Building QA Excellence India | QA Manager

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any device. Amagi helps bring entertainment to hundreds of millions of consumers leading the transformation in
media consumption. We believe in a connected ecosystem bringing content owners, distribution platforms,
consumers and advertisers together to create great experiences.
Amagi grew by 136% last year and on its way to double itself again this year. The market leader in FAST (Free
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The person plays a dual role of Public Relation and Influencer Manager.
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As a Computer Vision & Machine Learning Engineer at Datasee.AI, you’ll be core to the development of our robotic harvesting system’s visual intelligence. You’ll bring deep computer vision, machine learning, and software expertise while also thriving in a fast-paced, flexible, and energized startup environment. As an early team member, you’ll directly build our success, growth, and culture. You’ll hold a significant role and are excited to grow your role as Datasee.AI grows.
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Datasee>AI, Inc. is an AI driven Image Analytics company offering Asset Management solutions for industries in the sectors of Renewable Energy, Infrastructure, Utilities & Agriculture. With core expertise in Image processing, Computer Vision & Machine Learning, Takvaviya’s solution provides value across the enterprise for all the stakeholders through a data driven approach.
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