USER EXPERIENCE RESEARCHERS PTE. LTD.
DevOps Engineer
Professional Full Time 3년 이상 경력
기술
Railway systems engineeringsystems reliabilityKubernetesGCCscientific disciplineTechnological ProficiencyCollaboration ToolsNetworkingSite Reliability EngineeringGCPDocker Container
직무 설명
About the Role
We are looking for a DevOps Engineer (Cloud) to support the design, deployment, and operations of scalable, secure, and highly available platforms powering mission-critical urban transport systems. You will be part of a multidisciplinary team driving digital transformation across rail and public transport infrastructure.
Key Responsibilities
- Design and implement CI/CD pipelines to enable continuous integration and delivery of applications across rail and bus system platforms
- Build and manage cloud-native infrastructure (AWS, Azure, or GCP) using Infrastructure as Code (IaC) practices (e.g., Terraform, CloudFormation)
- Experience in GCC is preferred
- Deploy and maintain containerized applications using Docker and Kubernetes in production environments
- Collaborate with software, systems, and cybersecurity teams to ensure seamless system integration and delivery
- Implement monitoring, logging, and alerting solutions to ensure system reliability and operational visibility
- Ensure compliance with cybersecurity and regulatory standards for critical infrastructure systems
- Optimize system performance, scalability, and cost efficiency in cloud environments
- Contribute to DevSecOps practices, embedding security into the development lifecycle
- Maintain technical documentation and standard operating procedures
Requirements
- Degree in Computer Science, Engineering, or related discipline
- Minimum 3–7 years of experience in DevOps, Cloud Engineering, or Site Reliability Engineering
- Hands-on experience with cloud platforms (AWS, Azure, or Google Cloud, GCC)
- Strong experience with CI/CD tools (e.g., Jenkins, GitLab CI/CD, Azure DevOps)
- Proficiency in scripting/programming (Python, Bash, or similar)
- Experience with Docker and Kubernetes in production environments
- Familiarity with Infrastructure as Code tools (Terraform preferred)
- Knowledge of system architecture, networking, and security principles
- Experience with monitoring tools such as Prometheus, Grafana, ELK stack, or equivalent