Site Reliability Engineers (SREs) are responsible for supporting and improving the reliability of production systems. In this role, you will work hands-on with real systems, contribute to incident response, and develop the technical skills needed to operate and troubleshoot modern distributed applications.
We are looking for engineers who are proactive, detail-oriented, and eager to take on technical challenges. This role is ideal for candidates who want to build a strong foundation in systems, automation, and reliability engineering.
Monitoring & Observability:
- Monitor system health using metrics, logs, and traces.
- Respond to alerts and perform initial investigation using runbooks.
- Identify patterns in alerts and contribute to improving alert quality and signal.
Incident Support & Troubleshooting:
- Participate actively in incident response and assist in troubleshooting issues.
- Perform initial diagnosis by analyzing logs, metrics, and system behavior.
- Escalate issues with clear context and supporting data.
- Contribute to incident documentation and post-incident reviews.
Operations & System Support:
- Support operational tasks such as deployments, rollbacks, and system checks.
- Assist in maintaining production systems by identifying and reporting anomalies or risks.
- Follow and improve standard operating procedures (SOPs) and runbooks.
Automation & Improvement:
- Develop scripts or small tools to automate repetitive operational tasks.
- Contribute to improving monitoring, alerting, and operational workflows.
- Identify inefficiencies and suggest improvements to enhance reliability.
Performance & System Understanding:
- Assist in analyzing system performance and identifying basic bottlenecks.
- Develop an understanding of how services interact and fail in production.
- Support troubleshooting efforts across application and infrastructure layers.
Collaboration & Learning:
- Work closely with developers and cross-functional teams.
- Communicate clearly on findings, issues, and progress.
- Continuously learn from incidents, system behavior, and team feedback.
AI & Learning:
- Gain exposure to AI/ML tools used in monitoring and operations.
- Explore how AI can assist in anomaly detection and incident analysis.
- Show curiosity in AIOps and automation-driven operations.
Qualifications
Technical Skills
- Good understanding of system and networking concepts (HTTP, DNS, TCP/IP).
- Ability to write code or scripts (e.g., Python, JavaScript, or similar) for basic automation.
- Ability to analyze logs and metrics to support troubleshooting.
- Basic understanding of how web applications and services operate in production.
- Willingness to learn and work with observability tools (e.g., Datadog).
Education / Background
- Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.
- Minimum 1–3 years of experience in software engineering, DevOps, or related areas (including internships or projects).
Nice to Have
- Internship or project experience involving backend systems, APIs, or cloud platforms.
- Exposure to cloud environments (AWS, GCP, or Azure).
- Basic understanding of CI/CD pipelines and deployment workflows.
- Basic knowledge or hands-on experience with AI/ML concepts or tools.
- Interest in applying AI to monitoring, automation, or operational efficiency.
Soft Skills
- Strong willingness to learn and take on technical challenges.
- Problem-solving mindset with attention to detail.
- Ability to communicate clearly and work collaboratively.
- Proactive attitude and sense of ownership for assigned tasks.
Working location: Waseco building, 10 Pho Quang, Tan Son Hoa ward, Ho Chi Minh city, Vietnam
