Site Reliability Engineering (SRE) Leader
Location: Singapore
Work Arrangement: On-site
Employment Type: Full-time
About the Role
We are looking for a hands-on SRE Leader with a strong software engineering background to build and lead an SRE team in Singapore.
In this role, you will combine technical leadership, people management, and hands-on engineering to improve the reliability, scalability, security, and efficiency of a global SaaS platform.
You will also play an important role in building internal platforms, automation, developer tools, and AI-enabled engineering solutions to improve engineering productivity and operational excellence.
Key Responsibilities
- Build, mentor, and develop the Singapore-based SRE team, setting technical direction and engineering priorities.
- Drive improvements in system reliability, scalability, security, availability, and engineering efficiency across a global SaaS platform.
- Lead technical projects end-to-end, from architecture and design through development, deployment, and production rollout.
- Design and build internal platforms, developer tools, and automation to solve recurring engineering and operational challenges.
- Establish and maintain 24/7 on-call operations, participate in incident response, and lead major incident management and post-incident improvements.
- Develop and improve observability, service governance, reliability targets, and release safety.
- Identify and implement practical applications of AI tools and AI agents to improve engineering productivity, software quality, and system reliability.
- Partner closely with Engineering, Product, Security, and other technical teams across multiple regions.
- Drive engineering best practices and foster a culture of ownership, reliability, and continuous improvement.
Requirements
- 8+ years of experience in software development, platform engineering, SRE, DevOps, or a related technical field, including experience leading an engineering team.
- Strong programming skills in at least one language such as Java, Python, Go, or JavaScript/TypeScript.
- Proven experience delivering software or engineering projects from design through production.
- Strong understanding of distributed systems, high-availability architecture, and SaaS platforms.
- Hands-on experience with:
- AWS
- Kubernetes
- CI/CD
- Observability / Monitoring
- Production operations and incident response
- Practical experience applying AI tools or AI agents to engineering workflows, with the ability to evaluate their output and turn successful approaches into repeatable engineering practices.
- Strong technical judgment, ownership, problem-solving, and communication skills.
- Demonstrated ability to mentor engineers, lead technical teams, and drive cross-functional projects.
- Mandarin proficiency is a plus.
Preferred Qualifications
- Experience building internal platforms, developer tools, or AI-powered engineering applications from the ground up.
- Experience contributing to or maintaining open-source projects.
- Experience developing and deploying AI-enabled tools or workflows adopted by engineering teams.
- Experience working in a high-growth technology or SaaS environment.