Site Reliability Engineer

Jobtailor; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Jobtailor is seeking a Site Reliability Engineer to design, build, and maintain scalable systems. You will collaborate with software teams to ensure reliability, resilience, and performance while automating routine tasks.

Ideal candidates have 3+ years in SRE/Systems or Software Engineering, strong Linux and scripting skills, and familiarity with Docker/Kubernetes and ML data processing considerations.

Qualifications

• Bachelor’s or Master’s degree in CS/IT/CE or related field.
• 3+ years experience in SRE/Systems or Software Engineering.
• Proficient in Python/Go/C++/Java and shell scripting.
• Strong Linux, networking, and database basics; Docker/Kubernetes preferred.

Responsibilities

• Design, build, and maintain highly available, scalable systems.
• Collaborate with engineering teams to design for reliability and performance.
• Develop automation to maximize efficiency and minimize manual work.
• Monitor system performance and address bottlenecks before users are affected.
• Ensure infrastructure can handle rapid growth in traffic and ML data.
• Participate in 24/7 on-call rotations including holidays.
• Lead blameless post-mortems to prevent recurrence.
• Set up monitoring and alerting (SLIs/SLOs/SLAs) and dashboards.
• Implement security best practices and regulatory compliance.

Skills

Python

Go

C++

Java

Shell scripting

Linux

Containers

Kubernetes

Monitoring

Communication

Education

Bachelors/Master's degree

Tools

Docker

Job description

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

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)
• Proficiency in or exposure to machine learning frameworks such as TensorFlow, PyTorch, MXNet, or PaddlePaddle (preferred)
• Hands‑on experience with monitoring tools and methodologies (e.g., Prometheus, Grafana)
• Strategic thinking, exceptional communication, and the ability to collaborate effectively with cross‑functional teams in a fast‑paced environment