Join our Engineering team as a skilled DevOps Engineer focused on Google Cloud Platform (GCP). This role is pivotal in managing and scaling critical production systems, emphasizing automation, observability, and infrastructure reliability to ensure high availability. You will collaborate closely with engineering and operations to implement CI/CD pipelines, manage containerized applications, and drive operational efficiency through code-based solutions.

We are part of the Engineering, AI & Data group, dedicated to modernizing systems, implementing innovative technologies, and accelerating digital business growth.

Design, deploy, and manage GCP infrastructure, including GKE, Compute Engine, VPC, IAM, and Load Balancers. Implement and maintain infrastructure as code using Terraform for scalable solutions. Work with core GCP services like BigQuery, Pub/Sub, and Cloud Logging. Deploy and manage containerized applications using Kubernetes (GKE) and Docker, troubleshooting cluster issues. Execute application deployments using Helm and modern strategies like Canary or Blue-Green.

Build and maintain robust CI/CD pipelines with Jenkins, utilizing Groovy, Shell, or Python. Manage code and configurations via GitHub. Automate repetitive tasks using Python and Shell scripting. Implement and manage monitoring stacks with tools like Dynatrace and Grafana. Utilize logs, metrics, and traces for proactive system trend identification. Participate in incident management to resolve production issues.

Bachelor's degree in Engineering is required. Possess strong, hands-on expertise in GCP services such as GKE, VPC, IAM, Load Balancing, KMS, BigQuery, and Pub/Sub. Demonstrate proficiency in Terraform for writing and debugging infrastructure code. Have deep expertise in Kubernetes (GKE) and Docker. Possess hands-on experience with Jenkins and GitHub for CI/CD and version control. Show strong Python and Shell scripting skills. Maintain solid Linux fundamentals and a deep understanding of TCP/IP networking.

A working knowledge of Java and/or Golang is a plus. Experience with high-scale distributed systems is essential. Familiarity with SRE principles (SLIs, SLOs, SLAs, Error Budgets) is beneficial. Exposure to cloud security and compliance practices is desirable. Prior experience in the banking or financial services domain is advantageous.