The job, in the employer's words
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).
Requirements mentioned
- 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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