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Technical Support Engineer Remote Jobs in Maple, ON

LocalStack

Technical Account Manager

Toronto, ON · Remote

$140K - $237K/yr

  • Medical

  • Retirement

  • PTO

The cloud was built to run software, not to support AI-native development workflows. As the world ... with a small engineering office in Vienna/Austria 🇦🇹 and remote team members from 25 ...

LocalStack

Head of Technical GTM

Toronto, ON · Remote

$220K - $340K/yr

  • Medical

  • Retirement

  • PTO

The cloud was built to run software, not to support AI-native development workflows. As the world ... with a small engineering office in Vienna/Austria 🇦🇹 and remote team members from 25 ...

InvestorCOM

Software Engineer

Toronto, ON · Remote

Support software releases and production issue resolution as needed Continuous Improvement ... technical excellence. * Join a remote-first organization where your ideas are heard, your work has ...

Distributech

Software Engineer

Toronto, ON · Remote

CA$8/hr

Support software releases and production issue resolution as needed Continuous Improvement ... technical excellence. * Join a remote-first organization where your ideas are heard, your work has ...

InvestorCOM

Software Engineer

Toronto, ON · Remote

Support software releases and production issue resolution as needed Continuous Improvement ... technical excellence. * Join a remote-first organization where your ideas are heard, your work has ...

Thrillworks

Technical Director

Toronto, ON · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

... of Engineering to define our tech stack, mentor a team of high-performers, and serve as the ... You understand that in a remote, collaborative environment, clarity is kindness and sloppy code is ...

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Technical Support Engineer Remote information

What are the key skills and qualifications needed to thrive as a technical support engineer remote, and why are they important?

To thrive as a Technical Support Engineer Remote, you need strong problem-solving abilities, technical troubleshooting expertise, and a background in IT or computer science, often supported by relevant certifications like CompTIA A+ or Microsoft Certified Solutions Expert (MCSE). Familiarity with ticketing systems, remote desktop tools, and diagnostic software is essential for effective support. Exceptional communication skills, patience, and the ability to work independently are crucial soft skills in a remote environment. These qualities enable efficient resolution of technical issues, ensure customer satisfaction, and maintain seamless remote operations.

What is the difference between Technical Support Engineer Remote vs Technical Support Specialist?

AspectTechnical Support Engineer RemoteTechnical Support Specialist
Required CredentialsTypically requires a degree in IT, Computer Science, or related field; certifications like CompTIA A+ or Network+ are commonOften requires similar certifications; may have less emphasis on formal degrees
Work EnvironmentRemote, often supporting enterprise clients or internal teams via online toolsCan be remote or on-site; supports customers via phone, email, or chat
Employer & Industry UsageUsed across tech companies, SaaS providers, and IT service firmsCommon in tech, retail, and telecommunications industries

Both roles involve troubleshooting technical issues, but Technical Support Engineer Remote typically requires more technical expertise and handles complex problems remotely, while Technical Support Specialist may focus on basic support and customer service. The roles often overlap, but the engineer position usually demands a higher technical skill level and certifications.

What does a technical support engineer do in a remote role?

A Technical Support Engineer working remotely provides assistance to customers or internal teams in resolving technical issues related to software, hardware, or network systems. They diagnose problems, offer troubleshooting guidance, and may escalate complex issues to higher-level engineers. Communication is typically done through email, chat, or video calls, ensuring users can continue their work with minimal disruption. Remote Technical Support Engineers must be skilled in problem-solving, customer service, and using various support tools. Their goal is to help users resolve issues efficiently, regardless of their physical location.

What are some typical challenges faced by technical support engineers working remotely, and how can they be managed?

Remote Technical Support Engineers often face challenges such as troubleshooting complex technical issues without in-person access to customer systems and maintaining clear communication across different time zones. To manage these, effective use of remote access tools, thorough documentation, and proactive communication with both customers and team members are crucial. Additionally, setting up a dedicated workspace and establishing structured routines can help maintain productivity and work-life balance. Regular virtual meetings and collaboration platforms also support knowledge sharing and team cohesion.
More about Technical Support Engineer Remote jobs
What cities near Maple, ON are hiring for Technical Support Engineer Remote jobs? Cities near Maple, ON with the most Technical Support Engineer Remote job openings:
Technical Support Engineer Remote jobs near you
Infographic showing various Technical Support Engineer Remote job openings in Maple, ON as of August 2026, with employment types broken down into 97% Full Time, and 3% Temporary. Highlights an 100% Remote job distribution.

Cloud Performance Engineering - Site Reliability Engineer ( Remote Canada)

Smile Digital Health

Toronto, ON • Remote

Full-time

Medical, Life, Retirement, PTO

Re-posted 4 days ago

Job description

Working for a company like Smile Digital Health means supporting our mandate for #BetterGlobalHealth. We strive towards this goal every day, and the results can be seen in the impact of our innovative health data platform and data management solutions, which are used in over 20 countries. We were #19 on Deloitte's Technology Fast 50 Ranking for 2024! 
 
Smile Digital Health makes it easy for healthcare stakeholders to collect and exchange data with our leading FHIR-based data liberation platform.
 
At its heart, the Smile platform enables people and organizations to better manage healthcare data. We help generate and liberate structured healthcare data to ensure effective delivery across care teams and health systems bringing  #BetterGlobalHealth to patients everyday!

Apply today and find plenty of reasons to SMILE!

The Cloud Site Reliability Engineer (SRE) is responsible for ensuring the reliability, scalability, and performance of production-grade services deployed across multiple cloud vendors and infrastructure platforms for Smile Digital Health, its clients, and partners.

This role designs and automates performance testing frameworks, integrates them into CI/CD pipelines, and uses observability tools to proactively detect and resolve bottlenecks. Working closely with engineering, product, and security teams, the SRE ensures systems meet strict SLAs for performance and availability while driving continuous optimization across multiple cloud platforms.

Responsibilities:
  • Collaborate with our Security Operations teams to define and implement best practices around Cloud Service Provider configuration for Azure and other cloud providers.
  • Develop, implement, and coordinate a multi-tenant approach around service offerings for databases, container platforms, authentication, certificates, and product registries.
  • Design, develop, and maintain cloud performance testing strategies, frameworks, and environments to validate application scalability, reliability, and resiliency.
  • Develop and automate load, stress, spike, and endurance (soak) testing as part of CI/CD pipelines.
  • Analyze application and infrastructure performance to identify bottlenecks and recommend performance optimizations across cloud-native services.
  • Develop and maintain cost and utilization tracking and attribution processes across Cloud Service Providers.
  • Create documentation detailing Cloud Service Provider offerings, implementation patterns, and best practices.
  • Develop and maintain technical relationships with our core Cloud Service Providers.
  • Implement and maintain secure, scalable infrastructure platforms for delivering cloud services.
  • Ensure internal and external SLAs are consistently met or exceeded, while continuously monitoring and improving system performance, reliability, and availability.
  • Create tools for automating deployment, monitoring, and platform operations.
  • Implement and manage observability solutions (logging, metrics, tracing) using OpenTelemetry, Prometheus, Grafana, Azure Monitor, and related technologies to provide actionable performance insights.
  • Plan and execute chaos engineering experiments to evaluate and improve application resiliency and fault tolerance.
Requirements:
  • 5+ years of experience with Cloud Service Providers and best practices around implementation and configuration, preferably managing Azure environments supporting SaaS products.
  • Experience working across multiple cloud providers (Azure required; AWS and/or Google Cloud Platform considered an asset).
  • Strong experience in Cloud Performance Engineering, including performance analysis, capacity planning, scalability testing, and optimization of distributed cloud-native applications.
  • Proven experience working with microservices architecture, with a strong focus on Java-based services.
  • Experience applying Chaos Engineering practices to evaluate and improve system resiliency.
  • Strong experience designing and executing performance testing strategies, including load, stress, spike, and endurance (soak) testing, to validate application scalability and defined latency and error-rate thresholds.
  • Hands-on experience with performance testing tools such as JMeter, Gatling, Azure Load Testing, or k6.
  • Experience validating application services sustaining 500+ transactions per second (TPS) while meeting defined performance objectives.
  • Hands-on experience deploying and managing containerized applications using Docker and Kubernetes, including autoscaling and performance optimization.
  • Experience using Terraform to provision and manage cloud infrastructure using Infrastructure as Code (IaC).
  • Experience tuning Kafka (partitioning, consumer group sizing, throughput/latency trade-offs) and other messaging/queueing platforms to sustain target transaction rates.
  • Hands-on experience implementing and using observability platforms including OpenTelemetry, Prometheus, Grafana, Azure Monitor, Application Insights, and Log Analytics.
  • Proven experience with Security and Compliance (SOC 2, HIPAA, ISO 27001) best practices and implementing controls that support high-velocity software delivery teams.
$110,000 - $125,000 a year
Smile discloses that artificial intelligence (AI) may be used in portions of the recruitment and selection process, such as resume screening or application assessment. All hiring decisions are ultimately made by qualified human decision-makers, and AI tools are used to support - not replace - fair and equitable hiring practices. 
 
This position is a replacement role, created to support Smile's continued growth and commitment to operational excellence.

Some of the benefits we offer:
* Remote Work Environment
* Flexible Time Away From Work Policy including PTO, Personal and Sick Days
* Competitive Salary and Health/Medical Benefits
* RRSP/TFSA/401K Employee Contribution
* Life and Disability
* Employee Assistance Program
* FHIR Study Program and Skillsoft Learning
* Super HAPI Fun Club

Smile's core values include respect, inclusion, embracing our differences, and celebrating shared values because our people are the foundation of our success. We are big on creating a sense of belonging and empowering each other to bring our authentic selves to work.  We are dedicated to fostering a workplace that values diversity, equity, and inclusion.
 
We welcome and encourage candidates of all backgrounds to apply. Candidates are encouraged to inform us if they wish to discuss or require accommodations during interviews or while working at Smile.
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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