Salesforce QA Engineer (Infrastructure Focus)Location:
Remote from SpainFull-time | Long-term engagementIntellias is seeking a
Salesforce QA Engineer
with strong infrastructure and system-level testing experience. You’ll work on validating not just Salesforce functionality, but the critical
underlying architecture, integrations, and DevOps pipelines that support it.This is an ideal role for someone who has experience with
Salesforce platform testing ,
automation, and
environment validation, and wants to work on
highly scalable systems
with top-tier engineering teams.
Requirements:
Proven experience with Salesforce Health Cloud and/or Marketing Cloud QAStrong hands-on skills with Selenium for test automationExperience with Python for API test developmentSolid understanding of SQL for data validation and extract testingExperience working with JavaScriptFamiliarity with data quality frameworks and production release cyclesAbility to work independently while collaborating with DevOps, Data Engineering, and Application Development teamsUpper-Intermediate or higher level of
English
for daily team collaboration.
Responsibilities:
Validate infrastructure and deployment pipelines for Salesforce across environmentsPerform
system integration testing
(SIT), focusing on APIs, environment configs, and performanceCreate and maintain
automated test scripts
(Postman, REST-assured, Selenium, or similar)Monitor and report
test coverage gaps
across infrastructure, APIs, and backend servicesCollaborate closely with DevOps, developers, and QA engineers to ensure seamless Salesforce releasesPerform
smoke, regression, and sanity testing
across dynamic environments️
Tech Stack:
Salesforce platform (admin/dev experience is a plus)Postman, Swagger, REST, SOQL/SOSLGit, Jenkins, CI/CD pipelinesAPI testing tools (e.G., REST-assured, SoapUI)Scripting (JavaScript, Python, or Shell)Jira, Confluence, TestRail
To understand if you are a good match for this role, think if you can fully cover these questions:
1. Can you walk us through a project where you implemented or restored test automation for Salesforce Health Cloud or Marketing Cloud? What tools did you use, and how did you ensure data integrity across systems?2. How have you used Selenium and Python together in a QA automation context? What challenges did you face when validating data extracts or testing APIs, and how did you overcome them?3. Describe your experience testing data pipelines involving platforms like Snowflake. How did you collaborate with Data Engineering and DevOps teams to ensure stability and quality in production deployments?