Newbridge
Skills: Python, SQL, AWS, Docker, CI/CD
We are looking for a talented DevOps Engineer to build and scale our client Cloud Native DevOps Platform that supports millions of users and thousands of developers. You will work at the intersection of Infrastructure, SRE, and Backend Engineering to improve deployment velocity, system reliability, and developer productivity.
If you have built systems for scale and love automation over manual work, this is for you.
What You'll Do
1. Build Cloud Native Platform
Design and develop our clients internal DevOps Platform - including CI/CD, automation, configuration management, and AIOps Evolve cloud-native infrastructure on Kubernetes to empower business teams Build self-serve tools that boost productivity for 3000+ developers
2. Infrastructure & Reliability
Manage large-scale Kubernetes clusters, microservices architecture, and multi-cloud infrastructure (AWS / GCP / Private Cloud) Ensure system reliability, performance, and security - 99.99% uptime mindset Drive infrastructure as code (IaC) adoption across the org
3. CI/CD & Automation
Design and maintain high-throughput CI/CD pipelines (Jenkins / GitLab CI / ArgoCD) Automate everything: from provisioning to deployment to data correction and rollback Continuously improve build, test, and release efficiency
4. Observability & SRE Collaboration
Work closely with SREs and Backend Engineers to improve monitoring, logging, alerting (Prometheus, Grafana, ELK, OpenTelemetry) Lead incident response, root cause analysis, and capacity planning Champion DevOps best practices, security, and cost optimization
Tech Stack You Will Work With
Container & Orchestration: Docker, Kubernetes, Helm CI/CD: Jenkins, GitLab CI, ArgoCD, GitOps Infra as Code: Terraform, Ansible, Terragrunt Cloud: AWS / GCP / Tencent Cloud / Private Cloud Monitoring: Prometheus, Grafana, ELK/EFK, OpenTelemetry, Sentry Languages: Go / Python / Shell (at least one scripting) Databases & Messaging: MySQL, Redis, Kafka, ClickHouse
Requirements
Bachelor's degree in Computer Science,…
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