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Senior Database Reliability Engineer Jobs in Toronto, ON

Merative

Principle SRE

Mississauga, ON · On-site

Act as a senior point of escalation for complex or high-severity production issues. * Build ... Reliability Engineering * Define, publish, and govern service levelobjectives(SLOs)management ...

Ci

Senior Observability Engineer

Toronto, ON · On-site

The ideal candidate will partner with Cloud Engineering, DevOps, SRE, and application teams to ... databases, and business transactions. * Serve as the escalation point for complex incidents, using ...

New

Rockstar

Senior Data Engineer

Toronto, ON

... and various databases. The ideal candidate will combine technical data expertise with strong ... reliability, and business alignment - Familiarity with data visualization tools such as Looker ...

United Airlines

Production Support - SRE

Toronto, ON · On-site

Work closely with developers, operations teams, and other stakeholders to ensure system reliability ... database management, MongoDb) Container Services (Kubernetes) Disaster Recovery Planning and ...

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Senior Database Reliability Engineer information

See Toronto, ON salary details

$48.7K

$133.1K

$174.6K

How much do senior database reliability engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for senior database reliability engineer in Toronto, ON is $133,098.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,794.00 and $161,283.00 per year, depending on experience, location, and employer.

What is a senior database reliability engineer?

A Senior Database Reliability Engineer (DBRE) is responsible for ensuring the reliability, scalability, and performance of database systems. They collaborate with developers, SREs, and database administrators to automate database operations, optimize queries, and implement best practices for high availability and disaster recovery. Additionally, they monitor database performance, troubleshoot incidents, and enhance observability using monitoring tools. Their role often bridges software development and database administration, emphasizing automation and reliability.

What are some typical challenges faced by senior database reliability engineers in their daily work?

Senior Database Reliability Engineers often deal with challenges such as ensuring high database uptime, responding to unplanned outages, and optimizing performance under heavy loads. They may also need to manage complex migrations, automate repetitive tasks, and maintain data integrity across multiple environments. Collaboration with development, DevOps, and infrastructure teams is common to proactively identify and resolve potential reliability issues. Tackling these challenges requires both technical depth and strong communication skills, making the role both demanding and rewarding for those who enjoy problem-solving in a fast-paced environment.

What are the key skills and qualifications needed to thrive as a senior database reliability engineer, and why are they important?

To thrive as a Senior Database Reliability Engineer, you need expertise in database administration, performance tuning, automation, and incident response, often supported by a degree in computer science or a related field. Familiarity with tools like MySQL, PostgreSQL, Oracle, scripting languages (such as Python or Bash), and experience with cloud platforms and monitoring systems (e.g., Prometheus, Datadog) are highly valuable. Strong problem-solving abilities, collaboration, and effective communication help in resolving issues and working well within cross-functional teams. These skills ensure reliable, high-performing databases that are essential for critical business operations.

Senior Database Reliability Engineer jobs near you
Infographic showing various Senior Database Reliability Engineer job openings in Toronto, ON as of August 2026, with employment types broken down into 83% Full Time, 12% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $133,098 per year, or $64 per hour.

Senior Site Reliability Engineer, AI Infrastructure

PointClickCare

Mississauga, ON • Hybrid

Full-time

Medical, Life, Retirement, PTO

Re-posted 16 days ago

Job description

At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that's founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.

With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada's Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work. 

At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.

Join us in redefining healthcare - so it doesn't just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.


**Travel to Office expectations**
For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.

For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role.

Team Summary:

The AI SRE team is a focused group of SRE engineers dedicated to making PointClickCare's AI and ML platforms reliable, secure, and operationally excellent - from data processing and ML workspaces to model serving and labeling systems. We treat reliability as a product - prioritizing observability, automation, and safe operations so that data scientists and ML engineers can focus on building AI capabilities that improve patient care. You will spend a significant portion of your time hands-on - building automation, designing guardrails, hardening platforms, and leading incident response across cloud environments like Databricks, Azure AI suites. The team collaborates closely with research, platform, data, and security teams across the AI engineering organization.

Job Summary:

AI SRE exists to ensure PointClickCare's AI platforms run safely, reliably, and efficiently - protecting patient data while enabling teams to move fast with confidence. We solve complex cross-cutting reliability and security problems through well-designed automation, SLOs, and operational guardrails - so that product and research teams can focus on delivering AI-driven value to clinicians and patients. We own the infrastructure operability of AI data processing, ML workspaces, labeling systems, and model serving - and we drive the infrastructure observability, incident response, compliance controls, and cost optimization that keep those platforms healthy through sound SRE practices and a security-first mindset

Key responsibilities:

  • Own service level objectives, error budgets, and reliability targets for the infrastructure underpinning cloud-based platforms - ensuring infrastructure observability (metrics, logs, traces), alert quality, and telemetry completeness across platform components and serving endpoints
  • Design, build, and maintain infrastructure-as-code, operational automation, and change control workflows for AI/ML platforms - with a focus on repeatability, consistency, and toil reduction
  • Implement and maintain platform security controls - including network segmentation, secrets management, encryption, and data protection safeguards - aligned to compliance requirements and partnering with security teams to respond to emerging risks
  • Lead incident response and blameless postmortems; validate backup/restore and disaster recovery processes; conduct game days and resiliency testing to harden platform and infrastructure reliability
  • Mentor engineers, influence design reviews, and collaborate across engineering teams to improve platform resiliency, cost efficiency, capacity planning, and operational standards
Qualification and Skills:
Minimum:
  • 5+ years in SRE, platform engineering, or infrastructure roles supporting production cloud environments and mission-critical applications
  • Strong proficiency with observability - metrics, logging, distributed tracing, SLI/SLO frameworks - and production ownership including incident response, blameless postmortems, and on-call operations
  • Strong proficiency with Infrastructure as Code (Terraform), GitOps practices, and CI/CD for infrastructure and platform changes
  • Working proficiency with cloud platform administration - compute, networking, storage, and operating managed data or AI/ML platform services in production (e.g., Databricks, Azure ML, or Kubernetes-hosted infrastructure)
  • Working proficiency with platform security - network segmentation, secrets management, encryption at rest and in transit, and key management
  • Strong programming skills for automation, operational tooling, and infrastructure management
  • Strong communication and documentation skills - able to write runbooks, lead postmortems, influence operational standards across teams, and translate technical complexity for diverse audiences
Preferred: 
  • Experience with disaster recovery planning, multi-region patterns, and capacity or cost optimization (FinOps)
  •  Working knowledge of container orchestration (Kubernetes), progressive delivery patterns (blue/green, canary), and data lineage tooling
  • Working knowledge of container orchestration (Kubernetes), progressive delivery patterns (blue/green, canary), and data lineage tooling
  • Experience in healthcare, life sciences, or other highly regulated industries with data privacy requirements
$139,000 - $155,000 a year
At PointClickCare, base salary is one of the many components that make up our total rewards package. The CAD base salary range for this position is $139,000-$155,000 + bonus + benefits. Compensation is assessed individually and aligned to experience, skills, and market context. The posted range reflects typical expectations for this role. 
PointClickCare Benefits & Perks:

Benefits starting from Day 1!
Retirement Plan Matching
Flexible Paid Time Off
Wellness Support Programs and Resources
Parental & Caregiver Leaves
Fertility & Adoption Support
Continuous Development Support Program
Employee Assistance Program
Allyship and Inclusion Communities
Employee Recognition ... and more!

It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact [email protected] should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.

When you apply for a position, your information is processed and stored with Lever, in accordance with Lever's Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare's human resources team: [email protected] 

PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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