Site Reliability Engineer at Second Talent in Singapore
- Company: Second Talent
- Location: Singapore
- Posted: Sep 18, 2026
- Type: Full-time
- Experience: 2+ years
Overview
Manage and maintain container clusters (Kubernetes, Docker) and open-source component clusters (Kafka, Redis, Elasticsearch) across multiple business units Ensure optimal performance, scalability, and reliability of distributed systems
Responsibilities
- Manage and maintain container clusters (Kubernetes, Docker) and open-source component clusters (Kafka, Redis, Elasticsearch) across multiple business units
- Ensure optimal performance, scalability, and reliability of distributed systems
- Infrastructure Platform Development
- Design, build, and enhance infrastructure operation platforms
- Develop and maintain systems for infrastructure management, CI/CD pipelines, monitoring/alerting, and centralized logging
- Drive platform standardization and automation initiatives
- High Availability & Reliability
- Ensure maximum uptime for production services through proactive monitoring and incident response
- Continuously optimize service architecture, deployment strategies, and operational processes
- Implement and maintain SLA/SLO frameworks and reliability engineering practices
- Automation & Process Improvement
- Lead the development of automated operations and maintenance systems
- Create self-service tools and workflows to improve team productivity
- Establish best practices for infrastructure such as code and configuration management
Requirements
- Experience & Education
- 2+ years of hands-on experience in Systems Operations, DevOps, or Site Reliability Engineering (SRE)
- Bachelor's degree in Computer Science, Engineering, or related technical field preferred
- Cloud & Infrastructure
- Experience with public cloud platforms (AWS, Azure, or GCP) is highly valued
- Strong understanding of large-scale internet architecture and distributed systems
- Proven experience with infrastructure monitoring, logging, and observability tools
- Technical Skills
- Proficiency in scripting and automation using Shell, Python, or similar languages
- Strong knowledge of containerization technologies (Kubernetes, Docker)
- Hands-on experience operating production-grade container clusters and managing CI/CD pipelines
- Strong familiarity with common infrastructure components: Nginx, MySQL, Redis, Kafka, Elasticsearch
- Experience with Service Mesh architectures, Cilium CNI, and eBPF technologies
- Understanding network security, load balancing, and traffic management
- Knowledge of cloud-native networking patterns and best practices
Skills
Required
- Shell
- Python
- Kubernetes
- Docker
- CI/CD pipelines
- Monitoring/alerting
- Centralized logging
- Nginx
- MySQL
- Redis
- Kafka
- Elasticsearch
Preferred
- Service Mesh architectures
- Cilium CNI
- eBPF technologies
- Network security
- Load balancing
- Traffic management
- Cloud-native networking patterns