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GCP Application Support Engineer

  • Toronto, ON, Canada
  • North York, ON, Canada

Pay Rate: $73.75/hour, depending on experience · Full-time

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Job details

Pay
Pay Rate: $73.75/hour, depending on experience
Job type
Full-time
Apply by
Experience
5+ years of dedicated application support experience operating within a Google Cloud Platform (GCP) environment.
Posting language
English
Posted

Original job description

Google Cloud Platform (GCP) Application Support Engineer

  • Pay Rate: $73.75/hour, depending on experience
  • Contract: 6-month contract, with a possible extension
  • Location: Toronto, Ontario

Raise is currently hiring a GCP Application Support Engineer on behalf of our client. They’re expanding their team to meet growing needs, making this a unique opportunity to work with an industry leader. Our Client is a technology company that combines decades of industry expertise with next-generation AI technology that helps organizations reinvent how they build, operate and deliver by pairing human ingenuity with agentic systems that scale intelligence across the enterprise.

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 GCP Application Support Engineer in this role will join a high-impact team supporting mission-critical enterprise applications within the GCP ecosystem. In this role, you will be responsible for maintaining the health, performance, and reliability of complex cloud-native architectures, microservices, and big data pipelines. This is a 6-month contract with a high likelihood of extension through 2028 based on project milestones and performance.

Responsibilities

  • Application & Platform Support: Maintain high availability, stability, and performance across GCP-hosted applications, microservices, and enterprise data workflows.
  • Incident & Problem Management: Diagnose, troubleshoot, and resolve critical operational incidents (P1/P2) rapidly, minimizing downtime and performing root-cause analyses (RCA).
  • Pipeline & Infrastructure Monitoring: Proactively monitor and manage data pipelines and orchestration tools, ensuring smooth execution of ETL/ELT batch and streaming processes.
  • Observability & Telemetry Enhancement: Build, refine, and maintain custom Grafana dashboards, Prometheus metrics, and GCP Cloud Logging/Monitoring alerts to proactively catch system anomalies.
  • Cross-Functional Collaboration: Partner with engineering, architecture, and DevOps teams to streamline deployments, enhance infrastructure reliability, and implement best practices for continuous improvement.

Qualifications

  • 5+ years of dedicated application support experience operating within a Google Cloud Platform (GCP) environment.
  • Hands-on experience with:
    • Google Kubernetes Engine (GKE)
    • Cloud Composer / Apache Airflow
    • Dataflow & Dataproc
    • Pub/Sub
    • GCP Cloud Logging & Cloud Monitoring
  • Strong background supporting Java-based applications and Microservices architectures.
  • Deep expertise using Grafana and Prometheus for system metrics, dashboards, and alerting integrations.
  • Strong capability in reading logs, tracing distributed microservices calls, and analyzing pipeline logs to resolve production bottlenecks.
  • Preferred Qualifications
  • Familiarity with CI/CD deployment pipelines and Infrastructure as Code (IaC) tools like Terraform.
  • Experience in retail, e-commerce, or large enterprise environments with high-traffic, real-time data flows.
  • Education and Certifications
  • GCP certifications (e.g., Google Cloud Professional Cloud Architect, Professional Data Engineer, or Professional Cloud DevOps Engineer). (preferred)
Additional Information

  • Candidates in this role will be working a Hybrid, schedule, Ideally, 1-2 days per week at the client office

Looking for meaningful work? We can help!

Raise is an established hiring firm with over 65 years of experience. We believe strongly in making the world a better place through work, which is why we’re a certified B Corporation and donate 10% of our profits to charity.

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.

We have a dedicated webpage for accommodations where you can learn more about what we offer and request accommodation: https://raise.jobs/accommodations/

In order to submit candidates for roles, our clients will sometimes require personal information to confirm the identity of applicants and their legal status to work. Raise will never ask you for personal or banking information unless you have been selected for a job. If you are ever unsure about the legitimacy of this or any other Raise job posting (or have any other questions), please contact us at +1 800-567-9675 or hello@raiserecruiting.com.

#WES

More about this job

Responsibilities

Maintain the availability, stability, and performance of GCP-hosted applications, microservices, and data workflows, and resolve critical incidents through troubleshooting and root-cause analysis. Monitor data pipelines and improve observability using Grafana, Prometheus, and GCP logging and monitoring tools while collaborating with engineering, architecture, and DevOps teams.

Requirements

Requires 5+ years of application support experience in a GCP environment, including hands-on experience with GKE, Cloud Composer or Apache Airflow, Dataflow, Dataproc, Pub/Sub, and GCP logging and monitoring. Candidates should have strong Java and microservices support experience, expertise with Grafana and Prometheus, and the ability to analyze logs and distributed service calls; Terraform, CI/CD, relevant GCP certifications, and large-scale retail or enterprise experience are preferred.

Skills

  • Google Cloud Platform
  • Application Support
  • Google Kubernetes Engine
  • Cloud Composer
  • Apache Airflow
  • Dataflow
  • Dataproc
  • Pub/Sub
  • Cloud Logging
  • Cloud Monitoring
  • Java
  • Microservices
  • Grafana
  • Prometheus
  • Incident Management
  • Root-Cause Analysis

Visa sponsorship

Not detected in the job text

Categories

  • Technology
  • Software
  • Customer Service & Support
  • Data & Analytics

Keywords

  • Google Cloud Platform
  • GCP
  • Application Support
  • Google Kubernetes Engine
  • GKE
  • Cloud Composer
  • Apache Airflow
  • Dataflow
  • Dataproc
  • Pub/Sub
  • Cloud Logging
  • Cloud Monitoring
  • Java
  • Microservices
  • Grafana
  • Prometheus
  • ETL
  • ELT
  • Batch Processing
  • Streaming Data
  • Data Pipelines
  • Incident Management
  • P1/P2 Incidents
  • Root-Cause Analysis
  • Observability
  • CI/CD
  • Infrastructure as Code
  • Terraform
  • Google Cloud Certifications
  • Real-Time Data

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