Production Support Engineer - Salesforce
Location: Toronto, Canada
Role Overview
We are seeking a hands-on Production Support Engineer - Salesforce to provide production support, application management, release coordination, troubleshooting, automation, and technical expertise across enterprise financial services applications.
Key Responsibilities
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Provide front-office production support for local and remote users across Salesforce and related enterprise platforms.
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Monitor application stability and ensure maximum system availability.
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Manage incidents, problems, releases, bugs, enhancements, and production changes in coordination with development teams and vendors.
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Troubleshoot application, database, integration, and production issues and provide timely remediation.
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Work closely with business, technology, and functional stakeholders to maintain a stable production environment.
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Support release activities, disaster recovery, capacity planning, configuration management, and governance.
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Create and maintain technical documentation, runbooks, and knowledge articles.
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Drive automation and monitoring improvements to increase operational efficiency and platform stability.
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Support Agile delivery, knowledge sharing, cross-training, and follow-the-sun operations.
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Ensure adherence to ITIL, standard operating procedures, governance, risk, and compliance requirements.
Must-Have Skills
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Strong production support experience with Salesforce and enterprise applications.
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Experience supporting large-scale enterprise financial, trading, or risk platforms.
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Strong scripting skills using Python, Perl, or similar technologies .
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Working knowledge of Linux, Windows, and SQL .
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Experience with relational databases and writing SQL/database statements.
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Experience with Incident, Problem, and Change Management following ITIL principles.
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Strong troubleshooting, analytical, multitasking, and prioritization skills.
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Excellent written and verbal communication skills.
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Ability to quickly learn applications, become an SME, and support business users.
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Bachelor’s degree or equivalent.
Nice-to-Have Skills
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Experience with Control-M, Autosys, Tidal , or similar scheduling platforms.
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Experience with application monitoring and observability tools.
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Experience with CI/CD and DevOps automation using tools such as GitHub, Jenkins, Ansible, Elastic, and related technologies.
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Exposure to Java/Spring, AWS, S3, MongoDB, Data Lakes, Docker, and Kubernetes .
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Understanding of Capital Markets and the sales lifecycle .
