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Software Development Engineer in Test

Informations de base

Ref Number

Req_00147100

Dernier jour pour postuler

30-avr-2025

Site principal

IN - Bengaluru - Indiqube Sigma

Pays

Inde

Types d'emploi

Digital Solutions

Work Style

Hybrid, On Site

Description et exigences

We are looking for SDET - II who can ensure the quality of our product through manual and automation testing.His/ her main responsibility is to ensure high-quality products through his/ her software testing. He/she should have strong analytical and problem-solving skills, an understanding of software development and testing processes, excellent communication skills, and an eye for detail. If you are also competent in executing test cases and are passionate about quality, we’d like to meet you. Ultimately, you will ensure that our products, applications, and systems work efficiently.

Responsibilities:

  • Develop and maintain automated test scripts for Web and API automation using Cypress and Playwright with TypeScript/JavaScript.

  • Implement and enhance test suites using Selenium and RestAssured with Java.

  • Build and execute automated mobile tests using Appium for both iOS and Android platforms.

  • Database testing using SQL & NoSQL like MongoDB/PostgreSQL.

  • Design and create robust automation frameworks from scratch, ensuring modularity, reusability, and scalability across modules/teams.

  • Integrate test automation into the CI/CD pipeline.

  • Participate in code reviews, providing feedback on the quality and testability of code.

  • Mentor and Provide technical guidance to junior team members and ensure best practices are followed in test automation.

  • Collaborate with cross-functional teams in an Agile environment, from requirement analysis to deployment.

Requirements:

  • Experience: 3-5 years in test automation with hands-on expertise in Cypress/Playwright, Selenium, Appium

  • Frameworks: Proven track record in designing and implementing custom test automation frameworks.

  • Languages: Proficient in TypeScript/JavaScript and Java.

  • Mobile Automation: Experience with Appium for iOS and Android automation.

  • API Testing: Proficient in API testing using tools like Rest Assured etc.

  • Databases: Experience in working with MongoDB and PostgreSQL for database testing and validation.

  • CI/CD: Proficiency with Jenkins and integrating automated tests into CI/CD pipelines for continuous testing and deployment.

Description supplémentaire du poste

Nice to have:

  • Hands-on experience in JMeter, Grafana.

  • Familiar with AWS, Kubernetes, Docker, Spring Boot, JavaScript, Node.js etc.

  • Experience in enabling in-sprint automation for functional and non-functional testing.


Benefits :

1. Work with a world-class team working on a very forward-looking problem

2. Competitive Pay

3. Flat hierarchy

4. Health insurance for the family


EEO Statement

TELUS Digital has been a global leader in data services since 2005. Listed on Feb 21 on the NYSE, TELUS Digital now has a market cap of $3Billion+. We’ve built a truly industry-agnostic platform to support the growing needs of our customers. Eg of our customer use cases - Automotive companies
build self-driving capabilities, Agriculture companies for identify weeds & and fruit picking, Insurance companies for claim processing & and damage detection, Retail companies for shelf tracking, Drone/Satellite imagery for terrain analysis, E-commerce for cataloguing & and visual object understanding etc.

Why is it important?
High-quality training data is the most crucial building block of ML, AI, and GenAI algorithms that are shaping tech advancements today. Enterprises adopting AI spend a considerable amount of their time in pre- and post-processing this data and require a combination of sophisticated tools supporting multiple data types, as well as a skilled and diverse workforce to ensure high-quality labelled data. Since quality training data is the first step in quality AI solutions, our AI Data platforms and solutions are designed to cover end-to-end requirements for customers - from collection, selection, annotation, and even advanced GenAI tasks. Our global AI community of 1M+ contributors also helps companies test and improve AI and ML models, with wide subject matter expertise across data types, languages, geographies, and cultural
contexts - enabling smarter products, better customer solutions, and so much more. This helps our customers focus on business outcomes instead of advanced AIOps.
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