Site Reliability Engineer

TDCX, Inc.; Kuala Lumpur; On-site; MYR 120,000 - 190,000; Full time

Job summary

TDCX, Inc. in Kuala Lumpur seeks a Site Reliability Engineer to ensure reliability, availability, and performance of mission-critical systems.

You will monitor production environments, diagnose incidents, and implement preventive measures in collaboration with software and infrastructure teams. You will design scalable systems, automate operations, enhance observability, and contribute to capacity planning and change management.

Qualifications

• Bachelor's or Master's degree in Computer Science, IT, Computer Engineering, or related field.
• 3+ years of experience as a Site Reliability Engineer, Systems Engineer, or Software Engineer.
• Proficient in at least one high-level language (Python, Go, C++, or Java) and shell scripting.

Responsibilities

• Design, build, and maintain highly available, scalable, and fault-tolerant systems.
• Develop and maintain automation to maximize system efficiency.
• Monitor performance to identify bottlenecks and ensure capacity for growth.
• Participate in 24/7 on-call rotations and conduct blameless post-mortems.
• Implement monitoring with SLIs/SLOs/SLAs and automated alerts.

Skills

Python

Go

C++

Java

Shell scripting

Linux

Networking

Databases

Education

Bachelor's or Master's in CS/IT/CE

Tools

Docker

Kubernetes

Prometheus

Grafana

Job description

Role Description This is a full-time, on-site Site Reliability Engineer role based in Kuala Lumpur. The Site Reliability Engineer will be responsible for ensuring the reliability, availability, and performance of mission-critical systems and services. Daily responsibilities include monitoring production environments, diagnosing and resolving incidents, performing root cause analysis, and implementing preventive measures. The role involves collaborating with software development and infrastructure teams to design and deploy scalable systems, automate operational tasks, and improve observability through logging, metrics, and alerting. The engineer will also contribute to capacity planning, change management, documentation, and continuous improvement of operational processes and tools.

Minimum Qualifications

• Education: Bachelor's or Master's degree in Computer Science, Information Technology, Computer Engineering, or a related field.
• Experience: 3+ years of experience as a Site Reliability Engineer, Systems Engineer, or Software Engineer.
• Coding: Proficient in at least one high-level programming language (e.g., Python, Go, C++, or Java) and shell scripting. Strong understanding of data structures and algorithms.
• Systems: Strong understanding of Linux operating systems and open-source technologies and a solid understanding of network architecture.
• Databases: Competent knowledge of relational database systems and database modeling.

Preferred Qualifications

• Experience with containers and container orchestration platforms such as Docker and Kubernetes.
• Proficiency in or exposure to machine learning frameworks such as TensorFlow, PyTorch, MXNet, or PaddlePaddle.
• Hands-on experience with monitoring tools and methodologies (e.g., Prometheus, Grafana).
• Soft Skills: Strategic thinking, exceptional communication, and the ability to collaborate effectively with cross-functional teams in a fast-paced environment.

Responsibilities

• Design, build, and maintain highly available, scalable, and fault-tolerant systems. Collaborate with software engineering teams to ensure applications are designed with reliability and performance in mind.
• Develop and maintain automation procedures to maximize system efficiency, minimize human intervention, and optimize routine tasks.
• Monitor and analyze system performance to identify and address bottlenecks before they impact users. Ensure the infrastructure can handle rapid growth in web traffic and ML data processing.
• Participate in 24/7 on-call rotations (including scheduled shifts and holidays). Practice sustainable on-call response, conduct root-cause analysis, and lead blameless post mortems to prevent recurrence.
• Implement monitoring tools (SLIs/SLOs/SLAs) and set up automated alerting and metrics to track system health and performance.
• Implement and maintain security best practices and ensure all systems meet regulatory requirements.