Senior DevOps & Quality Engineering (QE) Engineer – Salesforce

RBC • Mississauga, ON

3d • Onsite

About The Position

We are looking for a highly experienced Senior DevOps & Quality Engineering (QE) Engineer to drive DevOps, CI/CD, release automation, and Quality Engineering practices for Salesforce applications within RBC Insurance Technology. This is a senior hands-on technical role requiring strong expertise across Salesforce DevOps, CI/CD, Quality Engineering, test automation, and release management. The successful candidate will work closely with Salesforce development teams, architects, QE teams, Product Owners, and technology partners to improve engineering efficiency, automation, quality, and release reliability. Strong Salesforce experience and hands-on experience with Flosum or a similar Salesforce DevOps platform are mandatory.

Requirements

• 8+ years of experience across DevOps, Quality Engineering, software engineering, or test automation.
• Strong hands-on experience with Salesforce development and delivery ecosystems.
• Strong hands-on experience with Flosum or similar Salesforce DevOps tools such as Copado, Gearset, AutoRABIT, or equivalent.
• Strong knowledge of Salesforce CI/CD, metadata deployments, source control, environment management, branching, and release management.
• Hands-on experience designing and maintaining enterprise CI/CD pipelines.
• Strong experience with Git and source-control/branching strategies.
• Strong Quality Engineering background with hands-on experience in test automation.
• Experience with functional, integration, regression, end-to-end, and API testing.
• Experience integrating automated tests and quality gates into CI/CD pipelines.
• Strong troubleshooting and root-cause-analysis skills across pipelines, environments, deployments, and application integrations.
• Strong understanding of Agile/Scrum and modern SDLC practices.
• Ability to independently lead complex technical initiatives and provide technical direction to engineering teams.
• Strong communication and collaboration skills with the ability to work across development, architecture, QE, business, and technology teams.
• Bachelor’s degree in computer engineering, Computer Science, or equivalent professional experience.

Nice To Haves

• Salesforce certifications.
• Experience with Salesforce Financial Services Cloud and/or Experience Cloud.
• Experience with GitHub Actions, Jenkins, SonarQube, Artifactory, or equivalent tools.
• Experience implementing SAST/DAST and security quality gates within CI/CD pipelines.
• Experience with performance engineering and performance test automation.
• Experience with API and enterprise integration technologies.
• Experience applying AI/GenAI to DevOps and Quality Engineering use cases.
• Experience within financial services or insurance technology.
• Industry certifications (ISTQB, CSTE) a plus.

Responsibilities

• Lead and execute DevOps and Quality Engineering activities for Salesforce applications.
• Design, implement, maintain, and optimize Salesforce CI/CD pipelines.
• Drive Salesforce deployment and release automation using Flosum or similar Salesforce DevOps tools.
• Manage and improve Salesforce source control, branching, metadata management, environment management, deployments, and release processes.
• Build and enhance automated quality gates across the CI/CD pipeline.
• Define and implement end-to-end QE and test automation strategies covering functional, integration, API, regression, and end-to-end testing.
• Drive increased test automation coverage and integrate automated tests into CI/CD pipelines.
• Identify opportunities to reduce manual deployment and testing activities through automation.
• Troubleshoot complex Salesforce deployment, pipeline, integration, environment, and test automation issues.
• Partner with developers and architects to improve engineering practices and shift quality and security earlier in the SDLC.
• Support release planning and production deployments and proactively identify release risks and dependencies.
• Provide technical guidance, mentorship, and best-practice recommendations to DevOps, QE, and development teams.
• Establish and track engineering metrics such as deployment success rate, automation coverage, pipeline reliability, defect leakage, and release quality.
• Identify opportunities to leverage AI/GenAI within DevOps and QE to improve test generation, defect analysis, automation, and engineering productivity.

Benefits

• Leaders who support your development through coaching and managing opportunities
• Work in a dynamic, collaborative, progressive, and high-performing team
• Opportunities to do challenging work
• Opportunities to take on progressively greater accountabilities
• Access to a variety of job opportunities across business and geographies

What This Job Offers

• Job Type: Full-time
• Career Level: Senior