Design, deploy and operate containerized microservices and distributed systems on GCP
Build and maintain CI/CD pipelines
Implement and manage real-time streaming data platforms
Design and operate GCP infrastructure with a focus on reliability, performance, security and cost-efficiency
Own infrastructure as code (IaC) for GCP
Configure and operate observability on GCP
Collaborate with development teams to improve operability, observability and resilience of services
Document architectures, runbooks and operational procedures

7+ years of experience in DevOps, SRE, Platform Engineering or similar roles
Strong hands-on experience running production workloads in cloud environments, ideally on Google Cloud Platform
Strong hands-on experience with streaming technologies and real-time data processing, e.g. Apache Kafka, Google Pub/Sub
Solid background in distributed systems, microservices, event-driven architectures, scalability and fault tolerance
Strong understanding of hardware and infrastructure concepts and experience with on-prem or hybrid environments integrated with GCP
Deep knowledge of Linux/Unix operating systems
Experience with cloud-native technologies: Containers and orchestration: Docker, Kubernetes, Infrastructure as Code: Terraform, Helm, CI/CD pipelines
Monitoring, logging and alerting using tools such as Cloud Monitoring/Logging, Prometheus, Grafana
Strong hands-on experience with Google Cloud Platform services
Good understanding of networking
Experience with agile working methods and tools such as JIRA and Git
Strong debugging and troubleshooting abilities across multiple layers
Fluent in English (spoken and written)
Optional: Google Cloud certifications such as Professional Cloud DevOps Engineer, Associate Cloud Engineer or Professional Cloud Architect

Senior DevOps Engineer – Google Cloud Platform

Key skills