Job TitleSenior DevOps Engineer - Google Cloud Platform (GCP)LocationToronto, Mississauga or Montreal OfficesContract DetailsStart Date: March 2, 2026End Date: September 4, 2026Potential for Extension: Yes Position OverviewWe are seeking a hands-on Senior DevOps 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 ResponsibilitiesCloud Infrastructure & Platform EngineeringDesign, build, automate, and operate GCP infrastructure using Terraform across multiple environmentsAdminister and secure GCP services, including: Compute Engine, GKE, Cloud Functions, Cloud RunCloud Storage, VPC, Cloud Load Balancing, Cloud NAT, Cloud DNSIAM, Artifact Registry, Secret Manager, KMSArchitect and operate containerized workloads on GKE, including cluster management, networking, autoscaling, node pools, and release strategiesCI/CD & AutomationDesign, implement, and optimize CI/CD pipelines using GitHub Actions for application and infrastructure deploymentsPromote DevOps best practices such as GitOps, trunk-based development, automated testing, progressive delivery, and infrastructure testingObservability, Reliability & OperationsImplement and operate observability solutions using Cloud Monitoring, Cloud Logging, Trace, and Error ReportingBuild dashboards, alerts, and SLO/SLA monitoringParticipate in on-call rotations and incident responseLead root-cause analysis, reliability improvements, disaster recovery, and backup strategiesData, AI & Event-Driven ArchitecturesEnable event-driven architectures using Pub/Sub, Cloud Functions, and Cloud RunSupport data and analytics pipelines, including BigQuery; optimize cost, performance, and reliabilitySupport AI and ML platforms, including Vertex AI, and provide platform services to the Center of ExcellenceSupport and integrate Contact Center AI (CCAI) solutions such as Dialogflow CX, Agent Assist, and CCAI InsightsSecurity, Governance & EnablementChampion a security-first mindset, including IAM least privilege, service accounts, workload identity, organization policies, SCC, and vulnerability scanningCollaborate with architecture and product teams on security, compliance, and governance standardsContribute to platform standards, documentation, and runbooksMentor and train team members on GCP best practices and platform usage Must Haves:Bachelor’s degree in Computer Science, Computer Engineering, or equivalent professional experience5-8 years of overall experience, including DevOps in cloud environments3+ years of hands-on experience with Google Cloud Platform (GCP)Strong hands-on experience with GCP infrastructure and platform operationsExpertise with Terraform, GitHub, and GitHub ActionsProficiency in Python for automation, tooling, and pipeline developmentExperience with Bash scriptingStrong networking knowledge, including: VPC design, subnets, peering, Private Service ConnectL7/L4 load balancers, firewalls, Cloud NATSolid experience with Kubernetes (GKE) and Docker Nice to Have / AssetsExperience with Vertex AI and ML platform enablementExperience with Contact Center technologies or GCP CCAIFamiliarity with BigQuery, Dataflow, and analytics platformsObservability tools such as OpenTelemetry, Prometheus, GrafanaExperience with AWS, Snowflake, or DatabricksExperience with Istio/service meshOpenShift experienceNode.js or Java experience Professional CompetenciesStrong communicator and collaborator, able to work across engineering, data, and architecture teamsComfortable acting as a technical authority and mentorCustomer- and platform-oriented mindset, focused on long-term value and reliabilityHighly adaptable, proactive, and effective in a fast-paced environmentStrong problem-solving and troubleshooting skillsHigh attention to quality, security, and operational excellenceDisclaimer:AI may be used in evaluating candidates.This posting is for an existing vacancy. Apply
