Google Support Engineer - GCP

We are seeking a highly skilled Cloud Platform Engineer with deep expertise in Google Cloud Platform (GCP) and Google Kubernetes Engine (GKE) to support and optimize containerized workloads and cloud-native services. The ideal candidate will have over 3 years of hands-on experience with Kubernetes, GKE, Docker, and related technologies, along with a strong understanding of CI/CD pipelines, cloud security, and infrastructure automation.

In this role, you will

Manage non-standard/complex P1, P2 (major incidents), and P3 and P4 incidents and service requests.

Drive root cause analysis on repeatable incidents to help prevent issues in the future.

Ensure customer service satisfaction and enable continuous improvements.

Oversee vendor’s service delivery and escalation.

Provide operational consultancy for future-state technologies.

Stay updated with emerging security threats and industry best practices related to container security and cloud-native technologies.

Participate in incident response activities, security incident investigations, and post-mortem analysis to improve incident handling processes.

What You’ll Need To Succeed (required Skills)

3+ years of experience with container technologies such as Kubernetes, Google Kubernetes Engine (GKE),AKS, Docker, Podman.

• Familiarity with Cloud PaaS services such as Google Cloud Run, Google GKE Autopilot, and Anthos Service Mesh.
• Experience developing CI/CD pipelines using technologies such as GitHub Actions, Jenkins.
• Strong understanding of network security principles, encryption protocols and identity management concepts.
• Strong understanding of Kubernetes resource types (i.e. cluster roles, services, deployments etc.).
• Experience developing Helm Charts.
• Experience implementing Kubernetes technologies such as network policies, service mesh, certificate manager, ingress controllers.
• Experience developing compliance policies/scripts using tools such as Google Org Policy, Aquasec, Wiz.
  
  

Experience supporting GCP services such as GKE, BigQuery, Cloud SQL (SQL/PostgreSQL), REDIS, Cassandra, BigTable, Cloud Filestore, Persistent Storage, Apigee, Kafka, Dataflow, GCS.

Knowledge of monitoring tools such as Dynatrace, Datadog, etc.

Experience and knowledge supporting an Azure Public Cloud environment (while not necessary) would be valuable.

Thorough problem determination skills to troubleshoot and resolve business application issues.

Knowledge with OS technologies (RedHat Linux, Windows).

DevOps and Agile understanding.

Working knowledge of Local Area Networks (LAN) and Wide Area Networks (WAN).

Comfortable with working in a rapidly changing, technically complex environment.

Knowledge of scripting languages and tools such as Python, JavaScript, Powershell, Bash.

Comfortable with the Agile methodology.

At Cognizant, we're eager to meet people who believe in our mission and can make an impact in various ways. We strongly encourage you to apply even if you only meet the required skills listed. Consider what transferable experience and skills make you a unique applicant and help us see how you'd be beneficial to this role.

Cognizant will only consider applicants for this position who are legally authorized to work in Canada without requiring employer sponsorship, now or at any time in the future.

Working arrangements

At Cognizant, we strive to provide flexibility wherever possible, and we are here to support a healthy work-life balance through our various well-being programs. Based on this role’s business requirements, this is a hybrid position in Toronto, Ontario.

Note: The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.