Salesforce QA (Python+Playwright)
- Lead quality strategy across a complex, multi-cloud Salesforce ecosystem. Design and implement automated
- testing frameworks for integrations involving Salesforce clouds, enterprise APIs, and AI-driven workflows, while
- supporting reliable and high-quality customer-facing deployments.
Key Responsibilities
Design, develop, and maintain automated test suites using Playwright and Python for Salesforce declarative and custom components, APIs, and integrations.
Lead QA strategy across DEV, SIT, UAT, and Production environments, with a focus on release governance and integration-aware testing.
Collaborate with DevOps and release management teams to embed automated quality gates into CI/CD pipelines, including GitLab, Copado, and Gearset.
Design test frameworks for complex Salesforce integrations, including enterprise APIs, OmniStudio processes, and Agentforce AI workflows.
Validate Salesforce configuration and customizations before deployments.
Mentor junior QA engineers and establish testing best practices and standards.
Drive continuous improvement through test metrics, coverage analysis, and defect trend reporting.
Mandatory Requirements
8–10 years of QA automation experience with proven expertise in Playwright and Python scripting.
Advanced proficiency in designing and implementing test automation frameworks, including Page Object Model, data-driven testing, and API testing.
6+ years of hands-on experience testing Salesforce cloud platforms.
Solid understanding of CI/CD pipelines and the ability to integrate automated tests into deployment workflows.
Experience with API testing, including REST and GraphQL, and data validation in complex integration scenarios.
Ability to lead QA initiatives, mentor team members, and establish quality standards.
Excellent communication and problem-solving skills, with the ability to work cross-functionally.
Desirable Qualifications
Experience in enterprise transformation or large-scale SaaS deployments.
Salesforce certification, including QA-related or relevant cloud certifications.
Experience with Salesforce DevOps tools such as Copado, Gearset, and GitLab integration.
Familiarity with MuleSoft integration testing or OmniStudio validation.
Knowledge of AI/ML testing patterns, including Agentforce or similar AI platforms.
Performance and load testing experience.
Technical Environment
Salesforce: Sales Cloud, Service Cloud, Communications Cloud, OmniStudio, and Agentforce AI.
Integration and Data: MuleSoft, Snowflake, and Talend.
DevOps and Release: GitLab, Copado, Gearset, and release governance practices.
QA Tools: Playwright, Python, API testing frameworks, and CI/CD integration.
Pay: ₹480,000.00 - ₹1,200,000.00 per year
Experience:
- Salesforce QA (Python+Playwright): 8 years (Required)
Work Location: Remote
📌 Salesforce QA (Python+Playwright) (India)
🏢 Arccus
📍 India