Salesforce QA Automation Engineer at NTT DATA, Inc. in Bangalore, IN-KA, India

Job description

• The Salesforce QA Automation Engineer will be responsible for developing, maintaining, and executing automated test suites for Salesforce Service Cloud, Lightning applications, and related integrations. The role involves designing test strategies, performing both manual and automated testing, and validating digital engagement channels such as web messaging and SMS. Candidates must have five to seven years of software quality assurance or engineering experience, with at least three years in test automation using Cypress and JavaScript or TypeScript. Proficiency in Salesforce testing, Einstein Bots, REST APIs, and integration workflows is required. Experience with test management tools, CI/CD pipelines, and performance testing is also essential. Preferred qualifications include Selenium WebDriver, Tricentis Tosca, Azure DevOps, and performance-testing tools. Certifications such as ISTQB, Salesforce Certified Administrator, and AI-assisted quality engineering are advantageous.
• NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
• We are currently seeking a Salesforce QA Automation Engineer to join our team in Bangalore, Karnataka, India.

Responsibilities

• • Develop, maintain, and execute automated functional, regression, integration, smoke, and end-to-end test suites using Cypress and JavaScript or TypeScript.
• • Design test strategies, test plans, test scenarios, traceability, test data, entry and exit criteria, and release-quality reporting.
• • Perform manual and automated testing of Salesforce Service Cloud, Lightning applications, Lightning Web Components, Flows, Apex-driven functionality, security, permissions, and integrations.
• • Test Einstein Bots and other digital assistants across conversation flows, intents, entities, context variables, authentication, transactions, fallback behavior, error recovery, and bot-to-agent handoff.
• • Validate Omni-Channel routing, queues, skills, presence, transcripts, pre-chat context, escalation, agent workflows, and service-level behavior.
• • Test digital engagement channels such as web messaging, in-app messaging, SMS, and WhatsApp when in scope, including templates, consent, session handling, routing, and escalation.
• • Develop API and integration tests for REST, SOAP, middleware, event-driven interfaces, and downstream systems of record.
• • Integrate automated tests with CI/CD pipelines and establish repeatable quality gates, execution reports, and failure diagnostics.
• • Participate in refinement, sprint planning, reviews, defect triage, release readiness, and production issue investigations.
• • Document defects with reproducible evidence, assess severity and business impact, support root-cause analysis, and verify corrective actions.
• • Service Cloud testing across Case Management, Knowledge, Omni-Channel, routing, queues, console applications, entitlements, milestones, macros, quick text, and service analytics.
• • Validation of chatbot dialogs, intents, entities, utterance variations, context retention, branching, disambiguation, fallback, error handling, timeout, escalation, and human handoff.
• • Testing of authenticated and unauthenticated chatbot journeys, role-based access, sensitive-data handling, auditability, privacy, and negative-security scenarios.
• • Validation of multilingual and localized chatbot experiences, preferably English plus Spanish and/or Portuguese.
• • Cross-browser, responsive, accessibility, usability, and compatibility testing for customer and agent experiences.
• • Validation of operational chatbot measures such as containment, transfer, fallback, abandonment, response time, resolution, and customer-experience outcomes.
• • Use approved AI-assisted tools such as GitHub Copilot, Claude Code, or Cursor to accelerate test design, Cypress automation, API-test development, test-data preparation, debugging, refactoring, and test documentation.
• • Generate candidate test scenarios from user stories and acceptance criteria, then independently validate functional, negative, security, accessibility, integration, chatbot, channel, and regression coverage.
• • Use AI assistance to analyze failures, logs, selectors, flaky tests, automation gaps, and root-cause hypotheses, with human review before code is committed or results are used for release decisions.
• • Review AI-generated test code and artifacts for correctness, maintainability, privacy, security, traceability, licensing, and alignment with enterprise quality-engineering standards.
• • Follow enterprise policies for approved tools, confidential data, source code, credentials, prompt handling, and responsible AI use without weakening QA accountability or release evidence.

Requirements

• • Five to seven years of software quality assurance or quality engineering experience.
• • At least three years of hands-on test automation experience, with strong current expertise using Cypress.
• • Proficiency with JavaScript or TypeScript and experience designing maintainable automation frameworks, reusable components, fixtures, mocks, and test utilities.
• • Demonstrated experience testing Salesforce applications, preferably Service Cloud, Lightning Experience, Flows, Apex, LWC, Salesforce security, and enterprise integrations.
• • Demonstrated experience testing Einstein Bots, enterprise chatbots, virtual assistants, or conversational AI solutions.
• • Experience testing REST APIs and integration workflows using tools such as Postman, ReadyAPI, SoapUI, or code-based API frameworks.
• • Strong knowledge of test design techniques, risk-based testing, regression strategy, defect management, test-data management, and quality metrics.
• • Ability to work independently and communicate test risks, evidence, and release recommendations to technical and business stakeholders.
• • Selenium WebDriver experience and the ability to maintain or transition existing Selenium automation assets.
• • Tricentis Tosca experience, including model-based automation, reusable test steps, test-data management, and execution reporting.
• • Azure DevOps, Git, Jenkins, Gearset, or comparable source-control, CI/CD, deployment, and test-management tooling.
• • SQL or data-query experience for back-end validation, reconciliation, and test-data verification.
• • Experience with test management and defect tools such as Azure DevOps Test Plans, Jira, Zephyr, qTest, or equivalent.
• • Experience using JMeter, PlayWright, LoadRunner, BlazeMeter, NeoLoad, k6, or a comparable performance-testing tool.
• • Ability to design load, stress, endurance, spike, and scalability scenarios for Salesforce-integrated applications, APIs, and chatbot services.
• • Experience analyzing response time, throughput, concurrency, error rates, bottlenecks, integration latency, and system behavior under peak demand.
• • Ability to produce performance baselines, findings, and actionable recommendations while accounting for Salesforce platform limits and test-environment constraints.
• • ISTQB Certified Tester Foundation Level or an advanced ISTQB test automation credential.
• • Salesforce Certified Administrator.
• • Tricentis Tosca certification or relevant performance-testing certification.

Skills

Required

• Cypress
• JavaScript
• TypeScript
• Salesforce testing
• Einstein Bots
• REST APIs
• Integration workflows
• Test design techniques
• Risk-based testing
• Regression strategy
• Defect management
• Test-data management

Preferred

• Selenium WebDriver
• Tricentis Tosca
• Azure DevOps
• Git
• Jenkins
• Gearset
• SQL
• JMeter