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Production Support Engineer – Salesforce

@ Querentia Inc.

Toronto, Ontario

Contract
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Overview

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.

Responsibilities:

  • 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

Requirements summary:

  • 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

Tools & skills

Source and dates

Source type not verified · jsonld

Employer posting date
2026-09-27
First seen by our source
2026-10-26
Source record updated
2026-11-05

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

Job details

SeniorityMid level
DepartmentIT
Travelair: none · ground: none
Work settingOffice
PositionMostly sitting
Physical demandsphysical low · computer high
LanguagesEnglish
EducationBachelor’s degree (required)

Summary and details written by AI from the posting; the employer’s posting is the authority.

Querentia Inc.

FieldValue
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Job description

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.

•

Monitor application stability and ensure maximum system availability.

•

Manage incidents, problems, releases, bugs, enhancements, and production changes in coordination with development teams and vendors.

•

Troubleshoot application, database, integration, and production issues and provide timely remediation.

•

Work closely with business, technology, and functional stakeholders to maintain a stable production environment.

•

Support release activities, disaster recovery, capacity planning, configuration management, and governance.

•

Create and maintain technical documentation, runbooks, and knowledge articles.

•

Drive automation and monitoring improvements to increase operational efficiency and platform stability.

•

Support Agile delivery, knowledge sharing, cross-training, and follow-the-sun operations.

•

Ensure adherence to ITIL, standard operating procedures, governance, risk, and compliance requirements.

Must-Have Skills

•

Strong production support experience with Salesforce and enterprise applications.

•

Experience supporting large-scale enterprise financial, trading, or risk platforms.

•

Strong scripting skills using Python, Perl, or similar technologies .

•

Working knowledge of Linux, Windows, and SQL .

•

Experience with relational databases and writing SQL/database statements.

•

Experience with Incident, Problem, and Change Management following ITIL principles.

•

Strong troubleshooting, analytical, multitasking, and prioritization skills.

•

Excellent written and verbal communication skills.

•

Ability to quickly learn applications, become an SME, and support business users.

•

Bachelor’s degree or equivalent.

Nice-to-Have Skills

•

Experience with Control-M, Autosys, Tidal , or similar scheduling platforms.

•

Experience with application monitoring and observability tools.

•

Experience with CI/CD and DevOps automation using tools such as GitHub, Jenkins, Ansible, Elastic, and related technologies.

•

Exposure to Java/Spring, AWS, S3, MongoDB, Data Lakes, Docker, and Kubernetes .

•

Understanding of Capital Markets and the sales lifecycle .

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