Production Support Engineer

Role: Production Support Engineer Location: Mississauga, ON (Hybrid) Duration: 06 months (CTH) Qualifications: 8+ years of technology experience, with a strong background in production engineering, L3 support, data platform operations, or platform DevOps in a large-scale enterprise environment. Proven experience in a senior technical operations or engineering lead role with accountability for production stability, data pipeline health, and team coordination. Demonstrated ability to triage and resolve complex, multi-system production issues across distributed microservices and data pipeline architectures. Strong hands-on experience with data platform operations - including event-driven pipelines, data reconciliation processes, and multi-layer reporting architectures. Working knowledge of data modeling concepts - entity relationships, canonical data models, schema evolution, and data contract principles. Experience with data lineage analysis - tracing data flows from source systems through transformation layers to downstream consumers and identifying break points. Strong experience with ITSM processes (ServiceNow - incident, problem, change, MTP/PRJ modules) in a formal IT governance environment. Experience coordinating production releases - runbook execution, health validation, and stakeholder communication. Excellent communication, escalation management, and stakeholder engagement skills - comfortable representing technical and data quality status to senior leadership. Experience in financial services or regulated technology environments strongly preferred. Technical Skills Data Platform & Architecture Kafka / JMS - producer/consumer health monitoring, topic-level triage, schema validation, consumer lag analysis Oracle - read-level query capability; working knowledge of materialized views, batch jobs, schema structures, and data reconciliation views Data lineage tooling - ability to trace and document data flows across multi-system architectures Data contract principles - producer/consumer responsibilities, schema validation, null-safety, field-level contract analysis Tableau / Superset - operational dashboard monitoring and data layer reconciliation Elastic Search - basic operational awareness for search/index layer triage MongoDB / Couchbase - operational awareness for NoSQL data stores in use across Pillars Data Lake concepts - retention policies, data classification, downstream consumer patterns Platform & Infrastructure OpenShift / Kubernetes - pod management, health checks, container operations Harness - deployment pipeline management and release validation Lightspeed (LSE / Classic) - CI/CD platform management GitHub / Bitbucket - repository governance, branch management, pipeline configuration AppDynamics - application performance monitoring and alerting Application & Integration Java / Spring Boot - sufficient depth to triage application-layer issues, interpret stack traces, and understand data contract failures REST APIs - API failure interpretation, connectivity validation, integration troubleshooting Angular / React - basic familiarity for front-end issue triage Observability & Tooling AppDynamics, Splunk, ELK / Kibana - log analysis and alerting SonarQube, Snyk, Checkmarx - compliance gate interpretation ServiceNow - incident, problem, change, and PRJ module management Security & Compliance CyberArk, CISAR - FID and privileged access management EEMS / EERS - entitlement management and access review processes CVM / CAMP - vulnerability management and Pillar-level remediation coordination Hashicorp Vault - secrets management operations SSL / TLS certificate lifecycle management

The role focuses on ensuring production stability and data pipeline health within a large-scale enterprise environment. Responsibilities include triaging complex multi-system issues, coordinating production releases, and managing stakeholder communications regarding data quality.

Candidates need over 8 years of experience in production engineering or DevOps, specifically with data platforms and microservices. Proficiency in tools like Kafka, Oracle, Kubernetes, and ITSM processes is required, preferably within the financial services sector.

• KubernetesSouhaitée
• JavaSouhaitée
• Spring BootSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Production Engineering
• L3 Support
• Data Platform Operations
• Platform DevOps
• Kafka
• Oracle
• OpenShift
• Kubernetes
• Harness
• AppDynamics
• Splunk
• Java
• Spring Boot
• ServiceNow
• Data Lineage Analysis
• ITSM

• Technology
• Data & Analytics
• Software
• Engineering
• Finance & Accounting

Expérience minimale

10+ ans

Postuler avant le

4 sept. 2026

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Niveau d’expérience

Mid-Senior level

Mode de candidature

La candidature directe est offerte