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Added 31 mins ago
Sr. Data Analyst -1806 (Asset Management)
Amyantek
Toronto, ON
Contract
As a Senior Data Engineer, you will be a key contributor to SLC’s enterprise data platform
Added 1 hour ago
Infra / Cloud & GenAI Architect
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Full-time
Have Senior plus years of experience in design and implementation of Cloud technologies primarily Microsoft Azure and AWS
Added 1 hour ago
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…environment focused on building modern solutions, advancing cloud capabilities, and delivering high-impact initiatives that shape the future of enterprise…
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We are seeking an experienced Senior Data Engineer with a strong background in Asset Management and modern cloud-based data platforms. The successful candidate will play a key role in…
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Full-time
Technical Consultant III (Software Engineer, Senior/Lead)
Added 2 hours ago
[C] Salesforce Engineer / Developer
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Part-time
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Added 2 hours ago
Senior Cloud DevOps Engineer
Robertson & Company Ltd.
Ottawa, ON
Contract
Robertson is seeking a skilled Senior Cloud DevOps Engineer to join our client in support of an existing vacancy.
Added 4 hours ago
Data Engineer
TekStaff IT Solutions
Toronto, ON · Greater Toronto Area, Canada
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Ottawa, ON
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Senior Data Scientist, Financial Services
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Added 7 hours ago
GCP Senior Data Engineer
Axiom Global Technologies
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Added 7 hours ago
Senior Software Engineer (Python + DevOps)
Keasis
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Rivago Infotech Inc
Toronto, ON
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Added 18 hours ago
Senior Application Security Engineer
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Saskatoon, SK
Full-time
The Senior Application Security Engineer is a senior technical role responsible for advancing security across the software development lifecycle (SDLC). Working closely with application…
Added 18 hours ago
Senior Application Security Engineer
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Calgary, AB
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The Senior Application Security Engineer is a senior technical role responsible for advancing security across the software development lifecycle (SDLC). Working closely with application…
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Development Team Lead
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Toronto, ON · Greater Toronto Area, Canada
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Application Development - Senior IAM Systems Engineer - Advanced
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Added 23 hours ago
Kubernetes Reliability Engineer
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Mississauga, ON · Canada Pharma Campus
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…organization as a prime contact on initiatives and interacts with senior internal and external personnel. Uses deep knowledge to influence IT infrastructure vendor product evaluations and…
Added 1 day ago
Kubernetes Reliability Engineer
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Mississauga, ON
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AI ENGINEER
DATAEKO.AI
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Added 1 day ago
Dynamics / Power platform engineer
Capgemini
Montreal, QC
We are looking for a Senior Microsoft Power Platform Engineer with expertise in AI Builder, Copilot, Dynamics 365, and Power Apps. The ideal candidate will have experience designing and…
Added 1 day ago
Machine Learning Operations Engineer/Senior
Wawanesa Insurance
Toronto, ON · AB · Winnipeg, MB · Ottawa, ON · Kitchener, ON · Calgary, AB · Edmonton, AB (Hybrid), AB · North York - Toronto, ON (Hybr, ON
The Machine Learning Operations Engineer/Senior is responsible for the design, development, deployment, monitoring, and operationalization of machine learning and AI solutions. The engineer…

Robertson & Company Ltd.

Senior Cloud DevOps Engineer

Ottawa, ON, Canada

Pay: Contract Period: 9 months Pay Rate: Starting from $38 per hour Location: Ottawa, ON Location Type: Hybrid Business Hours: Monday-Friday, Core Business Hours
Job type: Contract
Apply by: Oct 30, 2026
Education: Bachelor’s degree
Posting language: English
Posted: Sep 30, 2026

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Original job description

Our client is a top financial institution with significant North American holdings. They have operations across most major verticals, including institutional & corporate, wealth management, private clients, commercial banking, treasury, and retail banking.

Introduction:
Robertson is seeking a skilled Senior Cloud DevOps Engineer to join our client in support of an existing vacancy.

Contract Period: 9 months
Pay Rate: Starting from $38 per hour
Location: Ottawa, ON
Location Type: Hybrid
Business Hours: Monday-Friday, Core Business Hours

Job Responsibilities:

Operate and support production-grade, highly available IAM cloud services
Ensure availability, performance, resilience, and security of platforms
Participate in L2/L3 incident response, root-cause analysis, and post-incident reviews
Take part in a 24/7 follow-the-sun on-call rotation
Drive continuous improvements to operational stability and service quality
Design, implement, and maintain Infrastructure as Code (IaC) using Terraform
Build and maintain CI/CD pipelines (GitLab)
Deploy and manage Kubernetes-based platforms (EKS, GKE, OpenShift)
Automate provisioning, deployment, validation, and rollback processes
Review DevOps code to ensure quality, security, and consistency
Implement monitoring, logging, and alerting using Datadog
Leverage AIOps capabilities for anomaly detection and alert correlation
Support faster root-cause identification during incidents
Contribute to predictive analytics such as capacity forecasting and failure prevention
Use AI-powered copilots for troubleshooting and diagnostics
Generate and improve operational documentation and runbooks using AI
Develop automated remediation and self-healing workflows
Integrate AI-assisted insights into operational workflows
Support cloud databases: PostgreSQL, MySQL, MSSQL, MongoDB, Elastic
Contribute to upgrades, backups, HA/DR, and monitoring
Assist with data migrations where required
Ensure database security and performance
Produce design documents, runbooks, and operational procedures
Collaborate with Automation Architects, SREs, and R&D teams
Improve scalability, reliability, security, and cost efficiency
Follow ITIL-aligned operational processes
Operate in regulated and security-sensitive environments

Experience & Qualification Requirements:

Bachelor’s degree in computer science required
5+ years of operating cloud-based production systems
Strong Kubernetes orchestration experience
Hands-on Terraform and Infrastructure as Code expertise
CI/CD pipeline experience (GitLab)
AWS or GCP experience
Scripting and automation (Python, YAML, JSON, Bash)
Experience with observability tools
Strong Linux knowledge
Experience with AIOps platforms or ML-assisted monitoring
AI-assisted DevOps or Cloud Operations exposure
IAM or regulated environment experience
ITIL or COBIT familiarity
Experience in globally distributed teams
Cloud: AWS, GCP
Platforms: Kubernetes, Helm, OpenShift
IaC & Automation: Terraform, Ansible
CI/CD: GitLab
Observability: Datadog
Collaboration: Jira, Confluence, Slack, Office 365
AI Tooling: AIOps platforms, internal AI copilots

How to Apply: If you are a motivated professional looking to contribute to a leading team, please submit your resume outlining your qualifications and experience relevant to this role. Robertson & the clients we represent, value diversity and are committed to creating an inclusive workplace. We invite all qualified individuals to apply.

Background screening is required as part of the onboarding process. The type of screening required (criminal, credit, or other verifications) will vary based on the position and client requirements.

We use AI technology as part of our application review process to assist with screening and assessment. All applications are also reviewed by our recruitment team.

Robertson & the clients we represent are equal opportunity employers, committed to diversity and inclusion. Robertson is a certified diverse supplier and actively seeks to foster a representative and inclusive workforce. We welcome applications from all qualified individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, Aboriginal status, or any other legally protected factors. We champion building a diverse and inclusive environment.

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More about this job

Responsibilities

Operate and improve highly available, production-grade cloud IAM services, including incident response, on-call support, monitoring, and security. Build and maintain infrastructure, CI/CD pipelines, Kubernetes platforms, database operations, and AI-assisted automation and operational documentation.

Requirements

A bachelor's degree in computer science and at least five years of experience operating cloud-based production systems are required. Candidates should have strong Kubernetes, Terraform, CI/CD, AWS or GCP, scripting, Linux, observability, and AIOps or AI-assisted operations experience; IAM, regulated environments, and ITIL or COBIT familiarity are also relevant.

Skills

Cloud Operations
Kubernetes
Terraform
Infrastructure as Code
GitLab CI/CD
AWS
Google Cloud Platform
Python
Linux
Datadog
AIOps
Incident Response
Identity and Access Management
Database Administration
Automation
ITIL

Visa sponsorship

Not detected in the job text

Keywords

AWS
Google Cloud Platform
Kubernetes
Amazon EKS
GKE
OpenShift
Helm
Terraform
Ansible
Infrastructure as Code
GitLab CI/CD
Datadog
AIOps
Artificial Intelligence
Machine Learning
Python
Bash
YAML
JSON
Linux
Identity and Access Management
PostgreSQL
MySQL
Microsoft SQL Server
MongoDB
Elasticsearch
Incident Response
ITIL
COBIT
High Availability and Disaster Recovery

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