Publié le mois dernier
Production Support Engineer – Salesforce
@ Querentia Inc.
Toronto, Ontario
En bref
Querentia Inc. is hiring a contract Production Support Engineer - Salesforce in Toronto to keep enterprise financial services applications stable. The role covers incident, problem and release management, troubleshooting, automation and documentation.
Responsabilités :
- Provide production support for Salesforce and enterprise applications
- Manage incidents, problems, releases and production changes
- Troubleshoot application, database and integration issues
- Create technical documentation and runbooks
- Drive automation and monitoring improvements
Résumé des exigences :
- Production support experience with Salesforce and enterprise applications
- Scripting in Python, Perl or similar
- Working knowledge of Linux, Windows and SQL
- ITIL incident and change management experience
- Bachelor's degree or equivalent
Outils et compétences
Source et dates
Type de source non vérifié · jsonld
- Date publiée par l’employeur
- 2026-09-27
- Première détection par notre source
- 2026-10-26
- Mise à jour du dossier source
- 2026-11-05
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Intermédiaire |
| Domaine | TI |
| Déplacements | avion : aucun · route : aucun |
| Milieu de travail | Bureau |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
| Formation | Baccalauréat (exigé) |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Querentia Inc.
| Champ | Valeur |
|---|---|
| Offres sur Jobsy | 331 |
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
•
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 .
•
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 .
Journal
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