Req . Senior DevOps Engineer deep expertise in Google Cloud Platform; GCP to design,build,and operate Job Toronto area,Ontario Canada

Position: Req ID: 1047. Senior DevOps Engineer with deep expertise in Google Cloud Platform (GCP) to design, build, and operate

Job Title

Senior Dev Ops Engineer – Google Cloud Platform (GCP)

Location

Toronto, Mississauga or Montreal Offices

Contract Details

Start Date: March 2,

End Date: September 4,

Potential for Extension: Yes

Position Overview

We are seeking a hands-on Senior Dev Ops Engineer with deep expertise in Google Cloud Platform (GCP) to design, build, and operate secure, scalable, and resilient cloud infrastructure and CI/CD pipelines.

This role plays a critical enablement and leadership function within the organization. The hiring manager does not have deep GCP expertise and is specifically looking for a senior-level practitioner who can act as a technical authority, helping shape best practices, mentor team members, and support a Center of Excellence model.

The platform supports data, AI, and contact center initiatives, including a newly launched call center leveraging Vertex AI and GCP Contact Center AI (CCAI) components. You will work closely with engineering, data, architecture, and product teams to enable reliable delivery and operational excellence across shared platforms.

Key Responsibilities

Cloud Infrastructure & Platform Engineering

Design, build, automate, and operate GCP infrastructure using Terraform across multiple environments

Administer and secure GCP services, including:

Compute Engine, GKE, Cloud Functions, Cloud Run

Cloud Storage, VPC, Cloud Load Balancing, Cloud NAT, Cloud DNS

IAM, Artifact Registry, Secret Manager, KMS

Architect and operate containerized workloads on GKE, including cluster management, networking, autoscaling, node pools, and release strategies

CI/CD & Automation

Design, implement, and optimize CI/CD pipelines using Git Hub Actions for application and infrastructure deployments

Promote Dev Ops best practices such as Git Ops, trunk-based development, automated testing, progressive delivery, and infrastructure testing

Observability, Reliability & Operations

Implement and operate observability solutions using Cloud Monitoring, Cloud Logging, Trace, and Error Reporting

Build dashboards, alerts, and SLO/SLA monitoring

Participate in on-call rotations and incident response

Lead root-cause analysis, reliability improvements, disaster recovery, and backup strategies

Data, AI & Event-Driven Architectures

Enable event-driven architectures using Pub/Sub, Cloud Functions, and Cloud Run

Support data and analytics pipelines, including Big Query; optimize cost, performance, and reliability

Support AI and ML platforms, including Vertex AI, and provide platform services to the Center of Excellence

Support and integrate Contact Center AI (CCAI) solutions such as Dialogflow CX, Agent Assist, and CCAI Insights

Security, Governance & Enablement

Champion a security-first mindset, including IAM least privilege, service accounts, workload identity, organization policies, SCC, and vulnerability scanning

Collaborate with architecture and product teams on security, compliance, and governance standards

Contribute to platform standards, documentation, and runbooks

Mentor and train team members on GCP best practices and platform usage

Must Haves:

Bachelor’s degree in Computer Science, Computer Engineering, or equivalent professional experience

5–8 years of overall experience, including Dev Ops in cloud environments

3+ years of hands-on experience with Google Cloud Platform (GCP), GCP infrastructure and platform operations

Expertise with Terraform
, Git Hub, and Git Hub Actions

Proficiency in Python for automation, tooling, and pipeline development

Experience with Bash scripting

Strong networking knowledge, including:

VPC design, subnets, peering, Private Service Connect

L7/L4 load balancers, firewalls, Cloud NAT

Solid experience with Kubernetes (GKE) and Docker

Nice to Have / Assets

Experience with Vertex AI and ML platform enablement

Experience with Contact Center technologies or GCP CCAI

Familiarity with Big Query, Dataflow, and analytics platforms

Observability tools such as Open Telemetry, Prometheus, Grafana

Experience with AWS, Snowflake, or Databricks

Experience with Istio/service mesh

Open Shift experience

Node.js or Java experience

Professional Competencies

Strong communicator and collaborator, able to work across engineering, data, and architecture teams

Comfortable acting as a technical authority and mentor

Customer- and platform-oriented mindset, focused on long-term value and reliability

Highly adaptable, proactive, and effective in a fast-paced environment

Strong problem-solving and troubleshooting skills

High attention to quality, security, and operational excellence


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Job Posting Language

Req . Senior DevOps Engineer deep expertise in Google Cloud Platform; GCP to design, build, and operate