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Site Reliability Engineer at TDCX | JobVerse
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Site Reliability Engineer
TDCX
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LinkedIn
Site Reliability Engineer
Singapore
Full Time
6 hours ago
No Sponsorship
Apply Now
Key skills
Docker
Grafana
Java
Kubernetes
Linux
Prometheus
Python
PyTorch
Shell Scripting
Tensorflow
Go
C++
C
Shell
Machine Learning
ML
TensorFlow
Mentoring
Communication
About this role
Role Overview
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
Requirements
Bachelor’s or Master’s degree in Computer Science, Information Technology, Computer Engineering, or a related field
3+ years of experience as a Site Reliability Engineer, Systems Engineer, or Software Engineer
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
Strong understanding of Linux operating systems and open-source technologies and a solid understanding of network architecture
Competent knowledge of relational database systems and database modeling
Experience with containers and container orchestration platforms such as Docker and Kubernetes (preferred qualification)
Proficiency in or exposure to machine learning frameworks such as TensorFlow, PyTorch, MXNet, or PaddlePaddle (preferred qualification)
Hands-on experience with monitoring tools and methodologies (e.g., Prometheus, Grafana) (preferred qualification)
Strategic thinking, exceptional communication, and the ability to collaborate effectively with cross-functional teams in a fast-paced environment
Tech Stack
Docker
Grafana
Java
Kubernetes
Linux
Prometheus
Python
PyTorch
Shell Scripting
Tensorflow
Go
Benefits
Attractive remuneration and great perks
Comprehensive medical, insurance, and social security coverage
World-class workspaces
Engaging activities and recognition programs
Strong learning and development plans for your career growth
Positive work culture that enables your future
Easy-to-access location with direct public transport links
Flexible working arrangements
Coaching and mentoring from experts in your field
Apply Now
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