toronto, on remote devops engineer Jobs – 137 Openings This Week

Sr/Lead ELK (Elasticsearch) Engineer
iVedha Inc. —Greater Toronto Area, ON
- $40–$60 an hour
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
Quick apply
2d
Data Engineer (GCP)
Stacktics —Toronto, ON
- Full-time
- DevOps
- SQL
- Presentation skills
Data Engineer
JAM Industries Ltd —Toronto, ON
- Full-time
- Hybrid work
- Azure
- DevOps
- SQL
- Wellness program
- Disability insurance
Quick apply
Senior DevOps & Site Reliability Engineer - Americas
Appspace —Toronto, ON
- On call
- Remote
- Azure
- DevOps
- Databases
- Designated paid holidays
- Dental care
Quick apply
Software Engineer (SysAdmin)
TimePlay —Toronto, ON
- $80,000–$120,000 a year
- Full-time
- Hybrid work
- DevOps
- Project management
- Scripting
Quick apply
Software Engineer/Web Developer
CODEPAPER TECHNOLOGIES INC. —Vaughan, ON
- $87,089.79–$143,157.65 a year
- Part-time
- Hybrid work
- Azure
- Computer Science
- DevOps
- Mileage reimbursement
- Commuter benefits
Quick apply
4d
Dev Ops Engineer (12-month Co-op)
Rakuten Global —Toronto, ON
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
- Flexible schedule
9d
Data Engineer
Leap Tools —Toronto, ON
- $65,000–$115,000 a year
- Full-time
- Remote
- Computer science
- Computer Science
- DevOps
Senior DevOps Engineer
NTENT —Toronto, ON
- Full-time
- DevOps
- Java
- Scripting
- Designated paid holidays
- Disability insurance
Quick apply
Staff Platform Engineer
Shakepay —Toronto, ON
- $214,000–$266,000 a year
- Remote
- DevOps
- English
- AWS
- Dental care
Quick apply
Tech Lead (Remote First)
Zensurance —Toronto, ON
- $150,000–$170,000 a year
- Full-time
- Remote
- DevOps
- AWS
- Bachelor's
- Dental care
Quick apply
Mainframe DevOps Migration Consultant
Capgemini —Toronto, ON
- $62,874–$147,504 a year
- Remote
- DevOps
- Analysis skills
- Bachelor's
- Disability insurance
- Dental care
15h
Software Development Engineer
A.U.G. Signals Ltd. —Toronto, ON
- $60,000–$95,000 a year
- Full-time
- DevOps
- Engineering
- AWS
- Dental care
- Paid time off
Quick apply
Senior Cloud AI Software Developer (Remote)
TELUS —Toronto, ON
- $86,000–$136,000 a year
- Full-time
- Remote
- Computer Science
- DevOps
- Engineering
Generative AI Software Engineer
Apertera —Toronto, ON
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
- Dental care
- Vision care
Quick apply
1d
Principal Software Engineer (Salesforce - Remote)
Questrade Financial Group —Toronto, ON
- $145,000–$155,000 a year
- Full-time
- Remote
- Azure
- Salesforce
- DevOps
Quick apply
Quality Assurance Engineer
Curinos Inc —Toronto, ON
- $100,000–$110,000 a year
- Full-time
- Remote
- CAD
- DevOps
- SQL
- Paid time off
- Employee assistance program
Quick apply
Senior Platform Engineer – Cloud Architecture & AI Platforms
Derivative Path —Toronto, ON
- $110,000–$140,000 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
- Dental care
- Paid time off
IT Business Analyst -(EDMS)
Redpath Mining —Vaughan, ON
- Full-time
- Azure
- Oracle
- Computer Science
10d
Lead Platform Reliability Engineer
Manulife —Toronto, ON
- $127,330–$236,470 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
- Disability insurance
- Dental care
1d

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remote devops engineer jobs near toronto, on

Sr/Lead ELK (Elasticsearch) Engineer

iVedha Inc.
Greater Toronto Area, ON

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Job details

Full-time | Contract
$40–$60 an hour
2 days ago

Qualifications

Elasticsearch
Azure
Node.js
Computer Science
Kubernetes
Ansible
DevOps
Engineering
Encryption
Master's degree
Incident response
Docker
Bachelor's
Terraform
REST
APIs
AI
Python
Active Directory
High availability
Information Technology

Full job description

About iVedha:

iVedha Inc. is a global AI-first digital transformation company with over 25 years of excellence. Powered by the iVedha Fabric - our AI-native operating system, we unify cloud, data, AI, security, and people to deliver measurable, resilient outcomes. Our expertise spans Agentic AI, Generative AI, Cloud Engineering, Cybersecurity, Data Modernization, Application Transformation, and Talent Enablement.

Join our team of forward-thinking innovators shaping the future of intelligent enterprises, where automation, observability, and AI-driven quality assurance redefine delivery velocity.

Role Overview:

We are looking for a senior-level ELK DevOps / SRE Lead to take ownership of an enterprise Elasticsearch platform supporting critical workloads for a major US financial institution.

This role combines deep Elasticsearch engineering expertise with DevOps and Site Reliability Engineering responsibilities. The person in this position will be accountable for cluster architecture, performance optimization, platform stability, automation, and long-term scalability — operating within a highly regulated banking environment.

This is not a dashboard-focused or entry-level ELK role.

We are looking for someone who has designed, scaled, and stabilized large production clusters, led migrations, and can operate confidently within a structured DevOps and SRE model in a regulated financial services environment.

Key Responsibilities:

Elasticsearch Architecture & Engineering:

Design, build, and manage distributed, multi-node Elasticsearch clusters in production on Azure AKS and Azure VMs.
Define cluster sizing strategy, node roles, shard allocation, and scaling models for high-volume banking workloads.
Design and manage data streams, index lifecycle management (ILM), and data retention policies aligned to compliance requirements.
Optimize indexing and search performance — including shard strategy, mapping design, query tuning, and Grok-based log parsing pipelines.
Lead Elasticsearch upgrades, migrations, and re-architecture initiatives with minimal downtime and documented rollback plans.
Ensure high availability and fault-tolerant configurations across all environments.

Production Reliability & SRE Practices:

Take ownership of Elasticsearch platform stability in a production banking environment with strict SLA requirements.
Lead troubleshooting across complex, high-availability clusters — using logs, metrics, and traces correlation to isolate failures.
Perform detailed root cause analysis and implement permanent corrective actions.
Define and track SLIs, SLOs, and SLAs for the Elasticsearch platform and build Kibana dashboards for real-time SLA compliance.
Forecast capacity requirements and proactively plan scaling thresholds.
Develop and maintain operational runbooks and incident response processes. Act as escalation point during critical production incidents.

DevOps, Cloud & Automation:

Deploy and manage Elasticsearch in Microsoft Azure, covering Elastic Cloud on Azure, self-managed on AKS, and Azure VM deployments.
Manage centralized log collection using Elastic Agent and Fleet, designing Agent Policies for large-scale data ingestion.
Build and maintain Logstash and ingest pipelines for parsing complex, custom log formats using Grok scripting and Painless.
Implement automation using Python and the official Elasticsearch Python client (elasticsearch-py) for index management, reporting, and platform integrations.
Integrate the Elastic Stack with the OpenTelemetry (OTEL) framework, configuring the OTEL Collector to receive traces, metrics, and logs and export to Elasticsearch.
Contribute to CI/CD pipelines for Elasticsearch deployments and configuration management using Terraform and Ansible.
Integrate Elasticsearch with Azure Monitor, Azure Log Analytics, Dynatrace, LogicMonitor, and PagerDuty.

Security & Compliance:

Configure and maintain Elasticsearch security, including TLS encryption, RBAC, audit logging, and SAML/SSO integration with Azure Active Directory.
Ensure platform compliance with SOC 2 and HIPAA requirements, covering audit log retention, PII handling, access controls, and evidence collection for compliance cycles.
Design and enforce data classification and PII masking policies for log ingestion pipelines.

Technical Leadership:

Provide architectural guidance and best practices for Elasticsearch cluster design in regulated banking environments.
Mentor engineers on performance tuning, scaling strategies, compliance, and troubleshooting.
Drive continuous improvement initiatives across the ELK platform and contribute to long-term reliability and resilience planning.

Required Skills & Experience:

Core Elasticsearch (Must Have):

5+ years hands-on Elasticsearch in enterprise production
Cluster sizing, shard allocation, node roles & scaling
Index Lifecycle Management (ILM) & data streams
Query performance tuning & search profiling
Elasticsearch migrations & version upgrades
Kibana — alerting, dashboards, ML anomaly detection
Logstash pipelines — Grok, Painless, ingest enrichment
Elastic Agent & Fleet for centralized agent management

Cloud & Infrastructure (Must Have):

Microsoft Azure — AKS, Azure VMs, Azure Monitor
Docker & Kubernetes (AKS specifically)
Elastic Cloud on Azure deployment & management
Azure Active Directory (AAD) — SAML/SSO integration
Terraform & Ansible for infrastructure as code
CI/CD pipelines for Elasticsearch deployments

Automation & Integration (Must Have):

Python scripting using elasticsearch-py client
OpenTelemetry (OTEL) — SDK instrumentation & Collector
REST API integration for Elasticsearch administration
Elasticsearch Watcher for automated alerting
Dynatrace, LogicMonitor, or PagerDuty familiarity

Security & Compliance (Must Have):

Elasticsearch RBAC & audit logging configuration
TLS encryption for data in transit & at rest
PII/PHI masking & data classification in pipelines
SOC 2 or HIPAA compliance awareness
Elasticsearch security in regulated environments

SRE Practices (Must Have):

SLI / SLO / SLA definition & tracking
P1 incident handling & root cause analysis
MTTR reduction using correlated logs/metrics/traces
Capacity planning & proactive scaling
Operational runbook development

Education:

Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related field (or equivalent practical experience)

Preferred Certifications:

Elastic Certified Engineer
Elastic Certified Observability Engineer
Elastic Certified Analyst
Microsoft Certified: Azure Administrator Associate or Azure DevOps Engineer Expert

Pay: $40.00-$60.00 per hour

Work Location: Hybrid remote in Greater Toronto Area, ON

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Refine Your Search

remote devops engineer jobs in toronto, on

Sr/Lead ELK (Elasticsearch) Engineer

Data Engineer (GCP)

Data Engineer

Senior DevOps & Site Reliability Engineer - Americas

Software Engineer (SysAdmin)

Software Engineer/Web Developer

Dev Ops Engineer (12-month Co-op)

Data Engineer

Senior DevOps Engineer

Staff Platform Engineer

Tech Lead (Remote First)

Mainframe DevOps Migration Consultant

Software Development Engineer

Senior Cloud AI Software Developer (Remote)

Generative AI Software Engineer

Principal Software Engineer (Salesforce - Remote)

Quality Assurance Engineer

Senior Platform Engineer – Cloud Architecture & AI Platforms

IT Business Analyst -(EDMS)

Lead Platform Reliability Engineer

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