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Added 9 mins ago
Full-Stack Developer (Rust & WebAssembly)
SuperQubit Inc.
Markham, ON
$80,000 to $120,000 CAD / year
Full-time
The successful candidate will work across the frontend, backend, APIs, databases, and infrastructure layers, with Rust serving as an important technology across both backend services and…
Added 40 mins ago
MAPLE Junior Project Engineer
National Research Council Canada
Ottawa, ON
We are looking for a Junior Project Engineer to join the Aerospace Research Centre and support the development, modification, integration, certification, and operation of the NRC’s MAPLE -…
Added 40 mins ago
Senior Platform Engineer
Manulife
Toronto, ON · Waterloo, ON
Full-time
As a Senior Platform Engineer, you will build and operate the shared platform that application teams use to deploy and run services on Azure Kubernetes Service. You will work with…
Added 40 mins ago
Senior Staff Engineer
Marvell Technology
Ottawa, ON · CA-ON - Ottawa
Full-time
We are seeking a highly skilled and proactive DevOps Engineer with specialized expertise in Jenkins and build automation. In this role, you will lead the design, implementation, and…
Added 55 mins ago
Senior Cloud Infrastructure Engineer
Mecka
Remote, Canada
$165,000 to $200,000 CAD / year
Full-time · Remote
Every video frame we capture, label, and deliver to customers moves through AWS infrastructure this team builds and runs. We're hiring a Senior Cloud Infrastructure Engineer to help design,…
Added 1 hour ago
MLOps Developer
TEEMA
Toronto, ON
Full-time
Administration and automation of the AWS and GCP infrastructure and environments
Added 11 hours ago
Senior AI Engineer (Permanent)
CoreFactor Inc.
ON · Downtown Toronto (Underground city), Ontario
Full-time
We are seeking an experienced and technically strong Senior AI Engineer to join our clients Data, AI & Analytics team. This role focuses on the applied use of Generative AI and Agentic AI,…
Added 12 hours ago
Senior AI Engineer (Permanent)
CoreFactor
Toronto, ON · Greater Toronto Area, Canada
Full-time
We are seeking an experienced and technically strong Senior AI Engineer to join our clients Data, AI & Analytics team. This role focuses on the applied use of Generative AI and Agentic AI,…
Added 13 hours ago
Power Plant Engineer, Facilities
Manufacturing Job Site
Guelph, ON
Internship
Under the direction of the Facilities Manager, the Power Plant Engineer is responsible for the inspection, maintenance, troubleshooting, and repair of the facility’s main infrastructure…
Added 16 hours ago
DevOps Engineer, New Grad
Jobright.ai
Canada
Full-time
…accelerating your route to the best job outcomes. As a New Grad DevOps Engineer, you will help build and operate the infrastructure behind our AI-powered job search platform, focusing on…
Added 18 hours ago
Senior Systems Engineer
Aviso
Toronto, ON
$110,000 to $120,000 CAD / year
Full-time
Reporting to the Director, Technology Support Services, the Senior Systems Engineer is responsible for independently operating, engineering, and improving Aviso's hybrid infrastructure…
Added 23 hours ago
AI/ML Engineer
lululemon
Vancouver, BC
Full-time
As an AI/ML Engineer, you will contribute to the design and implementation of AI/ML systems across the full model lifecycle from dataset curation, feature engineering, and model training…
Added 1 day ago
Middleware Engineer
LTM
ON · Ontario, Canada
$90,000 to $110,000 USD / year
Full-time
…troubleshoot WebSphere applications and components Monitor middleware infrastructure proactively to identify and resolve potential issues Collaborate with development and operations teams…
Added 1 day ago
Lead IAM Engineer
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
Full-time
We are seeking a highly skilled and experienced Lead IAM Engineer to join our team. This role will be responsible for the design, implementation, administration, optimization, and support…
Added 2 days ago
Zscaler Site Reliability Engineer (SRE)
DXC Technology
Ottawa, ON
Full-time
This role will support a highly secure cloud and network infrastructure environment, focusing on reliability, automation, observability, and operational excellence for mission-critical…
Added 2 days ago
Principal AI Engineer
RBC
Calgary, AB
Full-time
Automation and DevOps experience, such as GitHub Actions, infrastructure as code, and automated QA.
Added 2 days ago
Security Engineer - 174347 - 174680
Piper Companies
ON · Durham, ON
Full-time
Piper Companies is seeking a Security Engineer to support a leading organization in the technology and government services industry. The Security Engineer will be responsible for ensuring…
Added 2 days ago
Senior Data Platform Engineer
Norton Rose Fulbright
Toronto, ON · Calgary, AB
Full-time
The Senior Data Platform Engineer will act as a technical lead for our technologies in any project or initiative, and is responsible for designing, developing, implementing, and supporting…
Added 2 days ago
Cloud Network Engineer II
TD
Toronto, ON
Full-time
As a Cloud Network Engineer, you will be responsible for engineering, automating, and supporting enterprise cloud networking solutions across Azure, AWS, and GCP. This role combines deep…
Added 2 days ago
Cloud DBA
BMO
Toronto, ON · SCC
Full-time
Design, build and enhance automation for database provisioning, configuration, patching, upgrades, monitoring, and operational maintenance using Infrastructure as Code (IaC) and/or…
Added 2 days ago
Senior Software Engineer
Microsoft
Vancouver, BC
Full-time
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…
Added 2 days ago
Team Lead, AI Engineering
The Citco Group Limited
Halifax, NS
Full-time
…Citco invests heavily in technology development, security, and infrastructure to ensure our clients continue to receive award-winning products that underpin our commitment to service…
Added 2 days ago
Senior AI Engineer
The Citco Group Limited
Halifax, NS
Full-time
…Citco invests heavily in technology development, security, and infrastructure to ensure our clients continue to receive award-winning products that underpin our commitment to service…
Added 2 days ago
Observability Engineer
Apptoza Inc.
Toronto, ON
Contract
Role: Observability Engineer (KUBERNETES & CONTAINERS, GITOPS & AUTOMATION, QUERY LANGUAGES, CLOUD & INFRASTRUCTURE)
Added 2 days ago
Senior Azure engineer
Manx Telecom Enterprise
Permanent North American Gaeltacht, ON
Full-time
A strong focus on collaboration and continuous improvement is key. The Senior Azure Engineer will work with colleagues across engineering, security, and service teams to implement best…

Apptoza Inc.

Observability Engineer

Toronto, ON, Canada

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

Apply About employer

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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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