Designs and maintains end-to-end automated testing for AWS web applications integrated with Salesforce. Automates cross-platform user journeys, Salesforce Lightning UI workflows, REST APIs, webhooks, secure queues, and database verification using SOQL. Builds resilient tests for dynamic IDs and Shadow DOM components, then integrates test suites into Git-based CI/CD pipelines. The role requires deep Salesforce expertise and at least four years of QA automation experience.
Project Overview: At Flosum, we build the leading native DevOps, Release Management, and Data Backup solutions for the Salesforce ecosystem. While our core platform is native to Salesforce, we utilize a hyperscale, open-cloud architecture on AWS for key web applications and high-throughput background processing.
We are looking for an expert Senior QA Automation Engineer to design, build, and maintain an end-to-end automated testing framework that bridges our AWS cloud web applications and our core Salesforce architecture. This is a mission-critical role where you will ensure the seamless, secure sync of enterprise DevOps data between cloud microservices and Salesforce metadata.
What You Will Do:
- Design and implement an automated testing framework covering both our AWS-hosted web app and our connected Salesforce native workflows.
- Automate end-to-end user journeys that cross platforms (e.g., actions initiated in our cloud web UI that trigger deployments or metadata backups inside Salesforce).
- Create stable UI tests for Salesforce Lightning that resist dynamic ID changes and effectively handle Shadow DOM components (using UTAM, Playwright, or enterprise testing tools).
- Develop robust API automation suites to validate real-time data integrations, webhooks, and secure queues running between AWS and Salesforce.
- Integrate the automated test suites cleanly into modern Git-based CI/CD pipelines.
Requirements
Required Experience & Skills:
- 4+ years in QA Automation Engineering, specifically handling complex enterprise integrations.
- Deep Salesforce Expertise: Exceptional understanding of Salesforce Lightning architecture, metadata, security models, and developer workflows.
- Technical Stack: Proficient in code-first automation (Playwright, Cypress, Selenium) OR deep expertise in Salesforce-specific automated testing systems (Provar, ACCELQ, or UTAM framework).
- API & Database Testing: Expertise in REST API testing and a strong command of SOQL queries for direct Salesforce database verification.
- DevOps Mindset: Solid experience setting up automated test steps within CI/CD pipelines (GitHub Actions, GitLab, or cloud developer tools).
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