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Added 37 mins ago
Salesforce Platform Engineer
RBC
Toronto, ON
Full-time
We are seeking an experienced Salesforce Platform Engineer to support the design, development, and enhancement of our commercial lending platform built on nCino. You will work closely with…
Added 37 mins ago
Principal AI Engineer
RBC
Calgary, AB
Full-time
We are looking for a Principle AI Engineer to drive the development of Data engineering solutions on RBC’s Enterprise Data and AI Hybrid Multi-cloud Platforms, that meet the strategic data…
Added 37 mins ago
Associate Director - Lead Software Developer
RBC
Toronto, ON
Full-time
…expected to play a key role in building modern applications to support business…
Added 37 mins ago
Software Development Engineer (Full Stack) - Evisort AI
Workday
Vancouver, BC · Canada, BC, Vancouver
Full-time
…take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including…
Added 37 mins ago
Senior ML/AI Engineer
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Toronto, ON
Full-time
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Added 1 hour ago
Senior Data Engineer
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Toronto, ON · CA ON Toronto
$103,000 to $153,000 CAD / year
Full-time
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Senior Data Solutions Engineer
HOOPP (Healthcare of Ontario Pension Plan)
Toronto, ON · CA ON Toronto
$103,000 to $153,000 CAD / year
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…reliable data solutions, operational readiness, and sustainable production…
Added 1 hour ago
Développeur(-euse) principal(e) de logiciels (contenu) /Principal Software Development Engineer
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Montreal, QC · Canada - Quebec - Montreal
Full-time
…grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers…
Added 2 hours ago
Senior AI Forward Deployment Engineer
Norton Rose Fulbright
Toronto, ON
Full-time
We are seeking a Senior AI Forward Deployment Engineer to join the Artificial Intelligence team within Norton Rose Fulbright Canada. This role will design, build, deploy, and optimize…
Added 2 hours ago
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Full-time
Support production systems and provide Level 3 application support.
Added 3 hours ago
CI Manager
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Support production on optimizing equipment utilization and efficiency;
Added 3 hours ago
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Husky Technologies
Bolton, ON
Full-time
…attracted to bold goals, believe in uncompromising honesty, support mutual respect, care about environmental responsibility, have a passion for excellence and a desire to make a positive…
Added 3 hours ago
Manufacturing Engineer (Contract)
Husky Technologies
Bolton, ON
Full-time
…attracted to bold goals, believe in uncompromising honesty, support mutual respect, care about environmental responsibility, have a passion for excellence and a desire to make a positive…
Added 3 hours ago
Cloud DBA
BMO
Toronto, ON · SCC
Full-time
Design, engineer, deploy, and support cloud database platforms, with a strong focus on AWS RDS, Amazon Redshift, Azure SQL Database, Azure SQL Managed Instance, and Microsoft Fabric.
Added 3 hours ago
Senior Software Engineer
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Halifax, NS
Full-time
To support our growth objectives at AXIS, we are investing significantly in our Exposure and Modelling systems. This position is for a Senior Software Engineer in the Reinsurance and…
Added 3 hours ago
Founding Sales Engineer
Featherless AI
Remote, Canada
$150,000 to $190,000 USD / year
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Support onboarding and first production workloads, then hand off cleanly and stay available for expansion
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Vancouver, BC
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Within the Azure Monitor team, we are looking for a Senior Software Engineer to help build and evolve the Azure Monitor backend systems. This role is ideal for someone who can own…
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Software Development Engineer - Agent Factory
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Vancouver, BC · Canada, BC, Vancouver
Full-time
…take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including…
Added 4 hours ago
Team Lead, AI Engineering
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Halifax, NS
Full-time
The AI Engineer remains accountable for technical correctness, human review of AI-generated output, meaningful tests, secure implementation and production readiness. AI-generated work never…
Added 4 hours ago
Senior AI Engineer
The Citco Group Limited
Halifax, NS
Full-time
The AI Engineer remains accountable for technical correctness, human review of AI-generated output, meaningful tests, secure implementation and production readiness. AI-generated work never…
Added 4 hours ago
Electrical & Instrumentation Engineer
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Oakville, ON
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…schematics, I/O lists, VFD/Starter selections, supporting our production facilities, participating in customer facing factory acceptance tests and assisting through…
Added 4 hours ago
IT Senior Analyst, Power BI Development – Enterprise Analytics
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Mississauga, ON
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Support and resolve production issues, including data discrepancies, refresh failures, and performance degradation
Added 4 hours ago
Manufacturing Engineering
Dometic
Vancouver, BC
$77,000 to $96,000 CAD / year
Full-time
As Manufacturing Engineer of the Vancouver Team, you will provide engineering expertise in the development and implementation of manufacturing processes and custom production assembly/test…
Added 4 hours ago
IT Senior Analyst, Power BI Development – Enterprise Analytics
Saputo Inc.
Montreal, QC
Full-time
Support and resolve production issues, including data discrepancies, refresh failures, and performance degradation
Added 6 hours ago
Full Stack Engineer
Pixieset
Vancouver, BC
Full-time
…QA, you’ll build features, learn how our services operate in production, and take increasing ownership of your work from development through release and ongoing…

Apptoza Inc.

Observability Engineer

Toronto, ON, Canada

Job type: Contract
Apply by: Oct 25, 2026
Posting language: English
Posted: Sep 25, 2026

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Original job description

Role: Observability Engineer (KUBERNETES & CONTAINERS, GITOPS & AUTOMATION, QUERY LANGUAGES, CLOUD & INFRASTRUCTURE)

Location: Toronto, ON – 4 days onsite

Contract Role

Job Description

ABOUT THE ROLE

We are seeking an experienced Observability Engineer to join our Enterprise Kubernetes Platform team at a leading financial services organization. You'll own the complete observability stack across 50+ production Kubernetes clusters, providing metrics, logging, tracing, and alerting capabilities that ensure exceptional reliability and performance for mission-critical applications.

This role combines deep technical expertise in modern observability tools with emerging AI/ML capabilities to build intelligent monitoring solutions, predictive alerting, and self-healing infrastructure.

OBSERVABILITY STACK OWNERSHIP

Design, deploy, and maintain enterprise-scale observability infrastructure including Prometheus, Grafana, Thanos, Loki, and modern collection agents • Manage observability deployments using GitOps principles and infrastructure as code • Implement long-term metrics storage solutions with cloud object storage • Maintain and upgrade observability components across development, QA, UAT, production, and DR environments • Configure distributed observability architecture spanning multiple data centers and cloud providers METRICS & MONITORING

Design and implement Prometheus monitoring strategies for Kubernetes infrastructure and containerized applications • Create ServiceMonitors, PodMonitors for automated metrics collection • Develop rules for intelligent alerting with minimal false positives • Configure multi-cluster metrics federation and aggregation • Optimize metrics cardinality, storage e_iciency, and query performance • Implement recording rules for pre-aggregated metrics and SLI calculations DASHBOARDS & VISUALIZATION

Build comprehensive Grafana dashboards for infrastructure health, application performance, and business metrics • Create reusable dashboard templates and libraries for development teams • Implement dashboard-as-code • Configure multiple datasources • Design executive dashboards with SLO/SLI tracking and business KPIs • Implement role-based access control and multi-tenancy in Grafana LOGGING INFRASTRUCTURE

Deploy and manage centralized logging solutions (Loki, ELK, Splunk, or Similar)

Configure log collection agents (Promtail, Fluentd, FluentBit, Vector, etc.) • Design log retention policies balancing cost, compliance, and operational needs • Create LogQL/Lucene queries and log-based alerts • Implement log correlation with metrics and traces for unified troubleshooting • Build log aggregation pipelines with parsing, filtering, and enrichment

ALERTING & INCIDENT MANAGEMENT

Configure intelligent alerting with Alertmanager or equivalent platforms • Design alert rules with appropriate severity levels, thresholds, and SLOs • Implement alert routing to Slack, PagerDuty, ServiceNow, email, and webhooks • Create automated runbooks and remediation workflows • Develop alert inhibition, silencing, and grouping strategies • Tune alerting to achieve signal-to-noise ratio improvements • Integrate with incident management and on-call rotation systems DISTRIBUTED TRACING

Implement distributed tracing solutions using OpenTelemetry, Jaeger, or Tempo • Instrument applications for trace collection and correlation • Configure trace sampling strategies for cost and performance optimization • Build trace-based dashboards for latency analysis and dependency mapping • Integrate tracing with metrics and logs for comprehensive observability AI/ML FOR OBSERVABILITY

Implement AI-powered anomaly detection for metrics and logs • Build predictive alerting using machine learning models to forecast issues before they occur • Develop intelligent alert correlation and root cause analysis systems • Integrate LLM-based tools for log analysis and troubleshooting assistance • Implement AIOps capabilities for automated incident triage and resolution • Use AI to optimize alert thresholds and reduce false positives • Build natural language query interfaces for observability data • Implement Model Context Protocol (MCP) for AI agent integration with observability platforms

AUTOMATION & PLATFORM INTEGRATION

Automate observability deployment using GitOps workflows (FluxCD, ArgoCD) • Integrate with CI/CD pipelines for automated testing and validation • Build self-service portals for teams to create dashboards and alerts • Develop APIs and CLIs for observability automation • Integrate with secrets management solutions (Vault, AWS Secrets Manager) • Configure LDAP/AD/SSO authentication for observability platforms • Automate compliance reporting and audit logging ENABLEMENT & COLLABORATION

Onboard application teams to observability platforms • Provide guidance on instrumentation best practices • Create documentation, training materials, and self-service guides • Conduct workshops • Support development teams during incidents with observability insights • Collaborate with SRE, DevOps, and platform engineering teams PERFORMANCE & COST OPTIMIZATION

Monitor and optimize observability stack resource consumption • Implement autoscaling for stateless observability components • Tune data retention, compaction, and downsampling strategies • Conduct capacity planning for metrics and log storage growth • Optimize query performance and dashboard response times • Implement cost allocation and chargeback for multi-tenant environments

REQUIRED QUALIFICATIONS

EXPERIENCE

4-6 years of experience in observability, monitoring, SRE, or platform engineering roles • 3+ years hands-on production experience with Prometheus and Grafana • 2+ years working with Kubernetes and containerized environments • Strong expertise with PromQL for metrics querying and alerting • Experience deploying and managing observability stacks at scale (1000+ nodes) • Proven track record of reducing MTTR through e_ective observability CORE TECHNICAL SKILLS

OBSERVABILITY PLATFORMS:

Prometheus (including Prometheus Operator) • Grafana (dashboards, alerting, plugins) • Thanos, Cortex, or Mimir for long-term storage • Alertmanager or equivalent alerting platforms

LOGGING:

Loki, Elasticsearch/ELK Stack, Splunk, or CloudWatch Logs • Log collection agents (Promtail, Fluentd, FluentBit, Vector) • LogQL, Lucene, or equivalent query languages

TRACING:

OpenTelemetry (OTEL Collector, instrumentation) • Jaeger, Zipkin, Tempo, or AWS X-Ray • Trace sampling and correlation strategies KUBERNETES & CONTAINERS:

Kubernetes architecture and operations (1.24+) • Custom Resource Definitions (CRDs) and Operators • ServiceMonitor, PodMonitor, PrometheusRule resources • Kubernetes metrics (kube-state-metrics, node-exporter, cAdvisor) GITOPS & AUTOMATION:

GitOps workflows (FluxCD, ArgoCD, or similar) • Infrastructure as Code (Kustomize, Helm, Terraform) • CI/CD platforms (GitHub Actions, GitLab CI, Jenkins) • Scripting (Python, Bash, Go) QUERY LANGUAGES:

PromQL (expert level required)

LogQL or Lucene

Basic SQL for data analysis

CLOUD & INFRASTRUCTURE:

AWS, Azure, or GCP cloud platforms

Object storage (S3, GCS, Azure Blob)

Multi-cloud and hybrid architectures

vSphere or on-premises virtualization (nice to have) AI/ML & EMERGING TECHNOLOGIES

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More about this job

Responsibilities

Own and operate an enterprise observability stack across production Kubernetes clusters, covering metrics, dashboards, logging, tracing, alerting, and long-term data storage. Automate and optimize the platform, develop AI/ML-enabled monitoring and incident workflows, and enable application teams to use observability tools effectively.

Requirements

Requires 4–6 years of experience in observability, monitoring, SRE, or platform engineering, including 3+ years of production experience with Prometheus and Grafana and 2+ years with Kubernetes. Candidates should have expert PromQL skills and experience operating large-scale observability systems, along with knowledge of GitOps, logging, tracing, cloud infrastructure, and automation.

Skills

Prometheus
Grafana
Kubernetes
PromQL
GitOps
Thanos
Loki
OpenTelemetry
Distributed Tracing
Alertmanager
Infrastructure as Code
Python
Terraform
Cloud Object Storage
AI/ML Observability
Incident Management

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Keywords

Prometheus
Grafana
Thanos
Loki
Kubernetes
PromQL
Prometheus Operator
Alertmanager
OpenTelemetry
Jaeger
Tempo
LogQL
Elasticsearch
Fluentd
Fluent Bit
GitOps
FluxCD
ArgoCD
Terraform
Helm
Kustomize
Python
Bash
Go
AWS
Azure
GCP
Object Storage
AI/ML
AIOps

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