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Cloud Engineer

Resource Corner • 🌐 In Person

In Person Posted 2 days, 22 hours ago

Job Description

Role: Sr GCP Cloud Engineer

Location: Sydney

Employment Type: Contract

**Note: Candidate with valid work right or any visa with unlimited work restriction can apply**

Skills Required:

We're looking for a passionate engineer with a strong foundation in cloud infrastructure, automation, and modern software development practices.

● Proven, hands-on experience designing and implementing solutions on Google Cloud Platform (GCP).

● Deep expertise in building DevOps foundations and automated CI/CD pipelines using tools like GitHub Actions, Google Cloud Build, or similar.

● Strong practical experience with microservices architectures, including containerisation (Docker) and serverless compute platforms (Cloud Run, GKE).

● Proficiency with Infrastructure as Code (IaC) tools, particularly Terraform.

● Excellent scripting and automation skills (e.g. Python, Bash, etc).

● Ability to debug complex systems, optimise code, and influence engineering teams to adopt DevOps best practices.

● Experience with a subset of technologies in our stack is highly desirable:

○ Cloud: Google Cloud Platform.

○ Code: Knowledge in Go, NodeJS, Python is a huge bonus.

○ Databases: Cloud SQL, Firestore, NoSQL (MongoDB).

○ Observability: Google Cloud's operations suite (Cloud Monitoring and Logging), Dynatrace, Prometheus, PagerDuty.

Your key responsibilities will include:

● Designing, building, and maintaining scalable and secure cloud infrastructure patterns on Google Cloud Platform (GCP) using Infrastructure as Code.

● Guiding the DevOps foundations, including CI/CD pipelines, to support our microservices architecture.

● Collaborating with development teams to establish best practices for building, deploying, and operating cloud-native applications on serverless platforms like Cloud Run.

● Automating infrastructure provisioning, configuration management, and repetitive operational tasks to enhance efficiency and reliability.

● Implementing and managing observability and monitoring tools to provide deep visibility into system health and performance.

● Championing a culture of automation and continuous improvement across all engineering teams.

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