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Added 48 mins ago
TD
Robotics QA Automation Engineer
TELUS Digital
Canada
- Full-time
Design and implement orchestration pipelines that connect multiple GenAI models, APIs, and tools into end-to-end workflows.
Added 1 hour ago
E
Senior QE + AI Engineer
enableIT
Toronto, ON
- $75 to $80 CAD / hour
- Contract
We are seeking a Senior QE + AI Engineer with around 8 years of experience in Quality Engineering, Test Automation, or Software Engineering. The role focuses on building AI-powered…
Added 4 hours ago
AI
Site Reliability Engineer – Azure Operations, Databricks Support & Incident Response
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
As an Intermediate Site Reliability Engineer, you will support and continuously improve enterprise Azure and Databricks platforms. The role focuses on production reliability, monitoring,…
Added 17 hours ago
Y
Senior QA Automation Engineer (Playwright)
Yochana
Montreal, QC
- Full-time
Position Name – Senior QA Automation Engineer
Added 17 hours ago
T
Senior AI Engineer (GCP/Vertex AI) Contract
TekRek
Canada
- Contract
…into production. The person who succeeds here enjoys building GenAI systems and also cares about keeping them reliable after…
Added 18 hours ago
A
IAM Engineer with Python Developer Experience // Montreal, QC(Hybrid)//FTE
AceStack
Montreal, QC
- Full-time
Role: IAM Engineer with Python Developer Experience
Added 18 hours ago
ZS
Quality Engineer / SDET – AI Chatbot Validation
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Experience testing AI, LLM, GenAI, chatbots, virtual assistants, or conversational platforms.
Added 19 hours ago
KG
QE / SDET – AI Chatbot & GenAI Validation
K&K Global Talent Solutions INC.
ON · Ontario, Canada
- Full-time
Position: QE / SDET – AI Chatbot & GenAI Validation
Added 19 hours ago
YD
Senior Machine Learning Engineer (Consulting)
Yeji Data Lab
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
We are looking for a Senior Machine Learning Engineer to design, build, and deploy scalable ML solutions for our clients. You will work across diverse projects, collaborating with…
Added 19 hours ago
TH
AI Engineer | Full time | AI Innovations
Trillium Health Partners
ON · ON, Canada
- Full-time
Reporting to the Director, AI & Digital Planning, the AI Engineer will be responsible for using the latest AI tools to design, prototype, build, evaluate, and scale AI solutions including…
Added 19 hours ago
ZS
Quality Engineer / SDET – AI Chatbot Validation
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Job TitleQuality Engineer (QE) / SDET – AI Chatbot ValidationKey Roles & Responsibilities• Validate chatbot responses for accuracy, relevance, completeness, and consistency.• Create and…
Added 22 hours ago
F
Senior Machine Learning Engineer
Fusemachines
Remote, Canada
- Contract
- Remote
We’re hiring a Senior Machine Learning Engineer to architect, build, and deploy high-performance machine learning systems that power technology stack. You will work across the entire ML…
Added 22 hours ago
Q
ML Architect
Quantiphi
Canada
- Full-time
As an Architect, Machine Learning Engineer at Quantiphi, you will be responsible for designing and developing advanced machine learning models and algorithms to solve complex business…
Added 22 hours ago
P
JAMS Platform Engineer
ProwessSoft
Toronto, ON
- Contract
Seeking a hands-on engineer to drive the reliability| automation and modernization of the enterprise JAMS workload automation platform. The role combines JAMS platform expertise with…
Added 22 hours ago
Data Engineer, Amazon Traffic Engineering
Amazon
Vancouver, BC
We are seeking a talented Data Engineer to join Amazon's Traffic Engineering organization in developing next-generation bot detection and mitigation capabilities. As a Data Engineer, you'll…
Added 22 hours ago
CF
AI/ML DevOps Engineer
CI Financial
Toronto, ON
- Full-time
CI Financial is seeking an experienced AI/ML DevOps Engineer to join the Data, AI & Analytics (DNA) team. In this role, you will help operationalize Gen AI and machine learning solutions by…
Added 1 day ago
P
Quality Assurance Engineer
Paymentus
Richmond Hill, ON
- $70,000 to $100,000 CAD / year
- Full-time
At Paymentus, the QA Engineer plays a key role in quality assurance and control of our products, services, and team delivery. The QA Engineer combines quality assurance, engineering, and…
Added 1 day ago
D
Java Software Engineer
Dexian
Mississauga, ON
- Contract
…understanding of modern frontend technologies. Experience with AI/GenAI solutions and financial services applications is highly…
Added 1 day ago
Y
Senior QA Automation Engineer (Playwright)
Yochana
Montreal, QC
- Full-time
Position Name – Senior QA Automation Engineer
Added 1 day ago
GS
Lead AI Engineer/QA
GeorgiaTEK Systems Inc.
Quebec, QC
- Contract
Experience using GenAI tooling for test-related activities
Added 1 day ago
GS
Lead AI Engineer/QA
GeorgiaTEK Systems Inc.
Halifax, NS
- Contract
Experience using GenAI tooling for test-related activities
Added 1 day ago
SS
Senior Software Developer, AI Solutions
System Soft Technologies
Quebec, QC
- Full-time
client is looking for a senior software engineer - a builder first - for our AI Solutions team. This is a hands-on development role, not machine-learning research: you’ll build production…
Added 1 day ago
A
Intermediate Software Engineer
AltaML
Toronto, ON
- $90,000 to $110,000 CAD / year
- Full-time
We overpay for the right people. We'd rather pay a premium for an engineer who embodies this and multiplies the team than save money on someone who doesn't.
Added 1 day ago
Y
Senior QA Automation Engineer
Yochana
Montreal, QC
- Full-time
Position Name – Senior QA Automation Engineer
Added 1 day ago
C
Senior Software Engineer (Python / GenAI) – Markets Technology
Citi
Mississauga, ON
- Full-time
…management, and we are seeking an experienced Senior Python Engineer to sit at the center of that evolution. In this role, you will architect and scale robust backend systems, leveraging…

Q1 Technologies, Inc.

Site Reliability Engineer

Toronto, ON, Canada

$95,000 to $115,000 CAD / year · Full-time

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Applications open in a new tab.

Job details

Pay: $95,000 to $115,000 CAD / year
Job type: Full-time
Apply by: Nov 6, 2026
Posting language: English
Posted: Oct 7, 2026

Original job description

Site Reliability Engineer

Waterloo or Toronto - Hybrid (Tuesday, Wednesday and Thursday)

Second round F2F In-person Interview for client evaluation

Fulltime Hire

Production Reliability, Azure Operations, Databricks Support and Incident Response

Job Description

As an Intermediate Site Reliability Engineer, you will support and continuously improve enterprise Azure and Databricks platforms. The role focuses on production reliability, monitoring, incident response, availability, operational readiness and platform support. You will work with platform engineering, security, network, application and data teams to keep services stable, secure and supportable.

Key Responsibilities

Monitor and support production Azure and Databricks environments, ensuring availability, performance and operational readiness.

Respond to incidents and service requests and participate in on-call rotations.

Troubleshoot Azure platform, Databricks, networking, storage, identity, access and application-related issues.

Support Databricks workspaces, compute, cluster policies, jobs, workflows, user access, monitoring and cost controls.

Support Unity Catalog operations, including catalogs, schemas, permissions, storage credentials and external locations.

Support integrations between Databricks, Azure Data Lake Storage Gen2, Azure Data Factory, Azure SQL, Key Vault and managed identities.

Support Azure networking and connectivity components, including VNets, NSGs, routes, private endpoints, DNS, VPN/ExpressRoute and hub-and-spoke connectivity.

Support Azure Storage services, including storage accounts, Blob Storage and ADLS Gen2, with appropriate access, availability and lifecycle controls.

Manage alerts, dashboards and operational monitoring using Azure Monitor, Log Analytics, Grafana, Prometheus, Dynatrace, Datadog or New Relic.

Participate in incident bridges, communicate status, follow escalation processes and support emergency changes when required.

Contribute to root cause analysis, problem management and follow-up remediation for recurring incidents.

Assist with patching, upgrades, maintenance windows, service validation and disaster recovery exercises.

Maintain operational runbooks, knowledge articles, support procedures and platform documentation.

Manage work through JIRA and ServiceNow and contribute to daily standups, planning sessions and service reviews.

Work with engineering teams to improve reliability, reduce recurring issues and strengthen operational support.

Candidate Requirements / Must-Have Skills

3+ years of experience supporting Azure cloud infrastructure in production environments.

1+ years of hands-on experience supporting Databricks environments.

Experience supporting Azure Storage services, including ADLS Gen2 and Blob Storage.

Experience working with Azure networking concepts, including VNets, NSGs, private endpoints, DNS and routing.

Understanding of Azure identity and security, including Entra ID, RBAC, managed identities and Key Vault.

Hands-on experience with monitoring and observability platforms such as Azure Monitor, Log Analytics, Grafana, Prometheus, Dynatrace, Datadog or New Relic.

Experience troubleshooting production incidents and participating in on-call support rotations.

Experience following incident escalation, change management, root cause analysis and problem management processes.

Experience working with JIRA, ServiceNow, operational runbooks and enterprise support procedures.

1+ years of Windows Server administration experience.

1+ years of Linux administration experience.

Basic understanding of network troubleshooting and connectivity concepts.

Nice-to-Have Skills

Experience supporting Databricks jobs, clusters, workflows, workspaces and user access.

Understanding of Unity Catalog concepts, permissions and governance.

1+ years of Azure SQL operational support experience.

1+ years of Azure Data Factory operational support experience, including linked services, integration runtimes and Databricks orchestration.

Understanding of Business Continuity and Disaster Recovery concepts, including RTO and RPO.

Experience supporting AI/GenAI platforms, Azure OpenAI, model endpoints, RAG services or MLOps operations.

Experience supporting enterprise data and analytics platforms.

Experience with capacity review, platform health reporting, cost monitoring and performance troubleshooting.

Strong communication, knowledge-sharing and documentation skills.

Soft Skills

Strong troubleshooting and analytical skills.

Ability to respond calmly and effectively to production incidents.

Ability to work independently while escalating issues appropriately.

Strong collaboration skills and the ability to work with engineering, platform, network, security and support teams.

Strong organizational skills and the ability to manage work through JIRA and ServiceNow.

Proactive, open-minded and willing to learn new technologies and operating models.

Customer-focused mindset with a commitment to reliability and operational excellence.

Ability to explain technical issues clearly and maintain accurate documentation.

Education

Bachelor's degree in Computer Science, Engineering, Information Technology or a related field, or equivalent practical experience.

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More about this job

Responsibilities

Monitor and support production Azure and Databricks platforms, responding to incidents and maintaining availability, performance, security, and operational readiness. Troubleshoot platform and connectivity issues, support monitoring and maintenance, participate in incident and recovery processes, and improve reliability through documentation and remediation.

Requirements

Candidates need at least three years supporting Azure infrastructure in production and at least one year supporting Databricks, along with experience in Azure storage, networking, identity, monitoring, and production incident response. The role also requires Windows and Linux administration experience, familiarity with JIRA and ServiceNow, and a bachelor's degree in a related field or equivalent practical experience.

Skills

Azure Cloud Operations
Databricks Support
Production Reliability
Incident Response
Azure Storage
Azure Networking
Identity And Access Management
Monitoring And Observability
Windows Server Administration
Linux Administration
Unity Catalog
Root Cause Analysis
Disaster Recovery
Azure Data Factory
Azure SQL
Runbook Documentation

Visa sponsorship

Not detected in the job text

Keywords

Azure
Databricks
Azure Data Lake Storage Gen2
Blob Storage
Azure Monitor
Log Analytics
Grafana
Prometheus
Dynatrace
Datadog
New Relic
Unity Catalog
Azure Data Factory
Azure SQL
Key Vault
Entra ID
RBAC
Managed Identities
VNets
Network Security Groups
Private Endpoints
DNS
VPN
ExpressRoute
Windows Server
Linux
JIRA
ServiceNow
Incident Management
Root Cause Analysis

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