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Added 25 mins ago
Senior Python Data Scraping Engineer (Freelance)
Mindrift
Remote, Canada
Part-time · Remote
The Mindrift platform connects specialists with innovative technology projects. Our mission is to help develop high-quality AI technologies by combining real-world expertise from…
Added 25 mins 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 25 mins ago
Senior Software Engineer
AXIS (AXIS Capital)
Halifax, NS
Full-time
…and Modelling systems. This position is for a Senior Software Engineer in the Reinsurance and Enterprise Risk, Pricing & Modelling Systems department which is responsible for the…
Added 40 mins ago
Founding Sales Engineer
Featherless AI
Remote, Canada
$150,000 to $190,000 USD / year
Full-time · Remote
Featherless.ai is building the world's most reliable open-model inference platform.
Added 1 hour ago
Senior Software Engineer
Microsoft
Vancouver, BC
Full-time
…Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data…
Added 1 hour ago
Software Development Engineer - Agent Factory
Workday
Vancouver, BC · Canada, BC, Vancouver
Full-time
…world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on…
Added 1 hour ago
Team Lead, AI Engineering
The Citco Group Limited
Halifax, NS
Full-time
The Platform Team defines requirements, acceptance criteria, service expectations and business risk.
Added 1 hour ago
Senior AI Engineer
The Citco Group Limited
Halifax, NS
Full-time
The Platform Team defines requirements, acceptance criteria, service expectations and business risk.
Added 1 hour ago
IT Senior Analyst, Power BI Development – Enterprise Analytics
Saputo Inc.
Mississauga, ON
Full-time
…bridge between business users and the enterprise analytics platform, ensuring business questions are translated into clear, accurate, and performant analytical…
Added 1 hour ago
IT Senior Analyst, Power BI Development – Enterprise Analytics
Saputo Inc.
Montreal, QC
Full-time
…bridge between business users and the enterprise analytics platform, ensuring business questions are translated into clear, accurate, and performant analytical…
Added 2 hours ago
Director AI Engineering
CGI
Toronto, ON
Full-time
…engineering team will report to this role, including Forward Deployed Engineer / AI Co-op, Agentic AI Engineers, Founding AI Engineers, and the Distinguished AI…
Added 2 hours ago
Senior Quality Process Development Engineer
Semtech
Burlington, ON
Full-time
The Senior Quality Process Development Engineer will collaborate on the design, development, and validation the statistical and machine-learning systems at the core of Semtech's quality…
Added 3 hours ago
Machine Learning Engineer, Frameworks & Performance (New Grad to Principal level)
Qualcomm
Markham, ON
Full-time
Today, more intelligence is moving to end devices, and mobile is becoming the pervasive AI platform. Building on the smartphone foundation and the scale of mobile, Qualcomm envisions making…
Added 3 hours ago
Senior Consultant - GCP Cloud Infrastructure Architect
Deloitte
Toronto, ON
Full-time
Lead 2–4 engineers on the delivery team and mentor client platform teams for long-term self-sufficiency.
Added 3 hours ago
Senior Consultant - GCP Data & AI Architect
Deloitte
Toronto, ON
Full-time
Partner with our GCP Agent Platform Architects to make the semantic layer, retrieval indices, and feature stores that Gemini agents and Vertex AI models depend on.
Added 3 hours ago
Senior Consultant - GCP Agent Platform Architect
Deloitte
Toronto, ON
Full-time
The focus and passion of Deloitte's Cloud Migration & Platform practice is to help our clients become a place where their employees are passionate about the work they do, and can…
Added 3 hours ago
AI Engineer
Insight
Remote, Canada
Full-time · Remote
As an AI Engineer, you will design and implement production-grade AI agents and multi-agent systems that use tools, call APIs, reason over enterprise data, and power modern mobile, web, and…
Added 3 hours ago
Observability Engineer
Apptoza Inc.
Toronto, ON
Contract
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…
Added 3 hours ago
Senior Embedded Software Designer
Kepler Communications Inc.
Canada
Full-time
We're on the hunt for a top-tier Embedded Software Engineer. Your focus will be on software development and maintenance required for both space and ground-based assets for a growing fleet…
Added 3 hours ago
Full Stack Engineer
General Magic
Toronto, ON
Full-time
We're hiring a Fullstack Engineer to own features end to end. Frontend, backend, data models, APIs, the infrastructure underneath. You take things from idea to shipped without someone…
Added 3 hours ago
Quality Engineer III
BlueRock Therapeutics
Toronto, ON
Full-time
…of cellular medicines. Utilizing our proprietary CELL+GENE™ platform, we direct cellular differentiation and genetically engineer cells to create transformative therapies for patients…
Added 3 hours ago
AI Engineer, Agent Product (Full-time/Part-time) (Canada)
Jobright.ai
Canada
Full-time · Part-time
Jobright is a rapidly growing AI job search platform in the U.S. that aims to simplify the job search process. The AI Engineer will be responsible for designing, building, and deploying AI…
Added 3 hours ago
AI Engineer, Entry Level (Canada)
Jobright.ai
Canada
Full-time
Jobright is a rapidly growing AI job search platform in the U.S. that is dedicated to transforming the job search experience. They are seeking an entry-level AI Engineer to build and refine…
Added 3 hours ago
Program Chief Engineer
Protingent
Toronto, ON
Full-time
Position Description: Protingent Staffing has an exciting Direct Hire Program Chief Engineer opportunity located in Toronto, Canada
Added 3 hours ago
Software Development Engineer - Agent Factory
Workday
Vancouver, BC
Full-time
…world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on…

Apptoza Inc.

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

Toronto, ON, Canada

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

Apply About employer

Applications open in a new tab.

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 deployments and integrations, develop AI-assisted monitoring and incident workflows, optimize performance and cost, 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 need expert PromQL skills and experience managing large-scale observability systems, along with relevant expertise in logging, tracing, GitOps, automation, and cloud infrastructure.

Skills

Prometheus
Grafana
Kubernetes
PromQL
GitOps
Thanos
Loki
OpenTelemetry
Distributed Tracing
Alertmanager
Infrastructure as Code
Python
Cloud Platforms
AI/ML Observability
Incident Management
Dashboard Development

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Keywords

Prometheus
Grafana
Thanos
Loki
Kubernetes
PromQL
LogQL
OpenTelemetry
Jaeger
Tempo
Alertmanager
GitOps
FluxCD
ArgoCD
Terraform
Helm
Kustomize
Python
Bash
Go
AWS
Azure
Google Cloud Platform
Object Storage
Machine Learning
AIOps
Distributed Tracing
Incident Management
Service Level Objectives
Site Reliability Engineering

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