Software Development Engineer in Test / QA.

Kapture; Bengaluru; Sur place; INR 600 000 - 1 200 000; Plein temps

Résumé du poste

Kapture CX in Bengaluru seeks a Software Development Engineer in Test / QA with 0-2 years of experience to develop and maintain automated tests for APIs, backend services, and chatbot/voice bot flows within CI/CD pipelines.

You will validate REST APIs, data integrity, and bot behavior, log defects with developers, and contribute to QA processes. A BE/BTech/MCA or equivalent and fundamentals in Python or Java are required.

Qualifications

• B.E./B.Tech/MCA ou équivalent en informatique ou domaine connexe.
• Bonnes bases en programmation (Python ou Java).
• Compréhension des concepts de test, SDLC/STLC et types de tests.
• Connaissance basique des REST APIs, HTTP et JSON.
• Notions Git et commandes Linux.
• SQL de base pour la validation des données.

Responsabilités

• Écrire et maintenir des tests automatisés pour APIs, services backend et flux bot.
• Concevoir des cas de test à partir des exigences produit (fonctionnels, régression, edge cases).
• Tester les REST APIs avec Postman ou cadres code-based; valider les réponses et l’intégrité des données.
• Tester le comportement du chatbot et voice bot et les intégrations système.
• Intégrer les tests automatisés dans les pipelines CI/CD.
• Tracer et vérifier les bugs avec les développeurs jusqu’à résolution.
• Soutenir les tests de performance et maintenir la documentation QA.

Connaissances

Python

Java

REST APIs

SQL

Git

Linux

Formation

B.E./B.Tech/MCA

Outils

Pytest

TestNG

Selenium

Playwright

RestAssured

Jenkins

GitHub Actions

JMeter

Locust

k6

Description du poste

Software Development Engineer in Test / QA.

0-2

Full-Time

About Kapture CX

Kapture CX is an enterprise-grade, AI-powered Customer Experience Automation platform that helps businesses transform customer interactions across voice, chat, email, and other digital channels.

Our platform powers customer experience for leading brands such as BigBasket, Star Health Insurance, Allianz, Airtel, Lenskart, and several others.

Role Overview

As a Software Development Engineer in Test / QA , you will be responsible for Develop and maintain automated tests for APIs, backend services, and chatbot/voice bot flows, while designing functional, regression, and edge-case scenarios. Validate REST APIs, integrations, data integrity, and bot behaviour, and integrate automation into CI/CD pipelines. Track and verify defects with development teams, support performance testing, and maintain test documentation and QA processes.

Key Responsibilities

• Write and maintain automated tests for APIs, backend services, and bot conversation flows.
• Design test cases from product requirements, covering functional, regression, and edge cases.
• Test REST APIs with Postman or code-based frameworks; validate responses, error handling, and data integrity.
• Test chatbot and voice bot behaviour: intent handling, conversation flows, and client system integrations.
• Integrate automated tests into CI/CD pipelines so issues are caught early.
• Log, track, and verify bugs clearly, working with developers until resolution.
• Support performance and load testing under guidance.
• Maintain test documentation and help improve QA processes.

What We're Looking For

• B.E./B.Tech/MCA or equivalent in Computer Science or a related field.
• Good programming fundamentals in at least one language (Python or Java preferred).
• Understanding of testing concepts: test case design, SDLC/STLC, and types of testing.
• Basic knowledge of REST APIs, HTTP, and JSON.
• Familiarity with Git and basic Linux commands.
• Basic SQL for data validation.
• Strong attention to detail, curiosity, and clear written communication.

Good to Have

• Exposure to automation frameworks such as Pytest, TestNG, Selenium, Playwright, or RestAssured.
• Familiarity with CI tools like Jenkins or GitHub Actions.
• Exposure to load testing tools such as JMeter, Locust, or k6.
• Interest in AI/LLM products, chatbots, or voice technologies.
• Internship, college project, or GitHub work related to testing or automation.

What Success Looks Like

• Hands-on experience testing production AI products used by large enterprises.
• Mentorship from experienced backend and QA engineers.
• A clear growth path toward senior SDET or backend roles.
• A fast-paced, learning-focused environment.