Closed listing
Senior Application Support / Systems Engineer
- Toronto, ON, Canada
Pay Rate: $82–$100/hour, depending on experience · Full-time
This opening has closed.
The original listing is kept below for reference.
Job details
- Pay
- Pay Rate: $82–$100/hour, depending on experience
- Job type
- Full-time
- Closing date
- Posting language
- English
- Posted
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Original job description
Archived listing. The details below describe a past opening.
- Pay Rate: $82–$100/hour, depending on experience
- Contract Length: 6 Months
- Location: Toronto, Canada
Note: The primary pay rate is based on T4 classification; however, we will also consider applications from candidates interested in an INC classification, where applicable.
Description
The Senior Application Support / Systems Engineer will be responsible for monitoring and maintaining application health, configuring observability and alerting solutions, triaging production incidents, troubleshooting performance and latency issues, and supporting Kubernetes-based environments.
The successful candidate will bring strong experience in application support, distributed systems, monitoring and observability, CI/CD processes, incident management, and production troubleshooting, with hands-on experience supporting cloud-based and Kubernetes environments.
Your Impact
- Application monitoring, health management, and production support
- Observability, monitoring, and alerting configuration
- Production incident triage, troubleshooting, and resolution
- Performance and latency analysis and optimization
- Kubernetes-based application and systems support
- CI/CD and production deployment support
- Distributed systems and microservices support
- Incident management and production troubleshooting
- Cloud-based application support
- Strong experience in application support / systems engineering within production environments.
- Hands-on experience with GCP and Google Kubernetes Engine (GKE).
- Strong experience with observability and monitoring tools, such as Grafana, Prometheus, Datadog, Dynatrace, Splunk, or similar platforms.
- Experience configuring monitoring, alerting, dashboards, and distributed tracing solutions.
- Strong experience supporting Kubernetes-based environments.
- Experience with Jenkins and CI/CD processes.
- Proven experience supporting production deployments and troubleshooting production issues.
- Strong understanding of distributed systems and microservices architectures.
- Experience with production incident management, root-cause analysis, and troubleshooting performance and latency issues.
- Experience supporting cloud-based applications.
- Strong analytical, problem-solving, and communication skills.
- Experience supporting large-scale retail or eCommerce platforms.
- Familiarity with Datadog, Dynatrace, Splunk, Grafana, Prometheus, or similar monitoring and observability tools.
- Strong experience with GCP cloud services.
- Experience with GKE / Kubernetes in production environments.
- Experience with microservices architectures and distributed systems.
Bachelor’s Degree in Computer Science, Information Technology, Software Engineering, Management Information Systems (MIS), or a related technical discipline (or equivalent practical experience).
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We strive to build teams that reflect the diversity of the communities we work in. We encourage all qualified applicants to apply, including people from traditionally underrepresented groups such as women, visible minorities, Indigenous peoples, people identifying as LGBTQ2SI, veterans, and people with visible/nonvisible disabilities.
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More about this job
Responsibilities
The role involves monitoring application health, configuring observability and alerting solutions, and triaging production incidents. The engineer will support Kubernetes-based environments and optimize performance and latency for distributed systems.
Requirements
Candidates need strong experience in production systems engineering with hands-on expertise in GCP, GKE, and monitoring tools like Grafana or Datadog. A bachelor's degree in a technical field and experience with CI/CD processes are required.
Skills
- Application Support
- Systems Engineering
- Google Cloud Platform
- Google Kubernetes Engine
- Kubernetes
- Observability
- Monitoring
- CI/CD
- Incident Management
- Distributed Systems
- Microservices
- Production Troubleshooting
- Grafana
- Prometheus
- Datadog
- Splunk
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Engineering
- Retail
- Customer Service & Support
Keywords
- GCP
- GKE
- Kubernetes
- Grafana
- Prometheus
- Datadog
- Dynatrace
- Splunk
- Jenkins
- CI/CD
- Microservices
- Distributed Systems
- Observability
- Incident Management
- Root-Cause Analysis
- Retail
- eCommerce
- Cloud Computing
- Production Support
- Latency Optimization