Summary
✨ AI‑Generated
A DevOps engineering position requiring experience with cloud environments, Kubernetes, automated pipelines, and infrastructure automation practices.
Highlights
Role focused on cloud-native engineering, automation, observability, and improving enterprise software delivery.
Description
Responsibilities:
Strong Software Engineering background with hands-on experience developing and supporting enterprise-scale applications, preferably Java and Node.js based.Proven experience as a DevOps Engineer in a Google Cloud Platform (GCP) environment, with strong knowledge of cloud-native architectures, GCP services, and platform engineering best practices.Extensive experience designing, building, and maintaining CI/CD pipelines using tools such as Jenkins, SonarQube, Nexus, and Git.Strong hands-on experience with Docker, Kubernetes, and Google Kubernetes Engine (GKE) in production environments.Proven experience implementing Infrastructure as Code (IaC) using Terraform.Strong understanding of modern engineering practices, including Continuous Integration, Continuous Delivery, automated testing, Agile delivery, and DevOps principles.Experience configuring and supporting monitoring, observability, and alerting solutions such as Dynatrace.Hands-on experience with automated testing tools including JUnit, Cucumber, Selenium, Postman, and Bruno.Proven track record of driving automation initiatives to improve resilience, increase deployment frequency, and reduce operational overhead.Strong production support, incident management, troubleshooting, and root cause analysis skills.Excellent collaboration and communication skills, with experience working effectively across engineering, platform, architecture, and product teams.Passion for building a strong engineering culture and promoting DevOps best practices across delivery teams.
