Site Reliability Engineer - Singapore

About Plaud

Plaud Inc. is creating an AI-powered work companion designed to help professionals work smarter through note-taking and productivity tools. Since launching in 2023, the product has reached more than 1,500,000 users around the world. The company’s larger mission is to strengthen human intelligence by building the next wave of infrastructure and interfaces that can capture, organize, and use what people say, hear, see, and think.

Based in San Francisco and incorporated in Delaware, Plaud combines hardware and software to push forward the relationship between humans and AI. The company emphasizes strong security and privacy practices, with compliance across ISO 27001, ISO 27701, GDPR, SOC 2, HIPAA, and EN 18031.

Why join Plaud

• Join a bootstrapped and profitable company that has reached a $250M revenue run rate in only three years.
• Help shape the next generation of human-AI interaction.
• Work on advanced AI products and contribute directly to international growth.
• Collaborate with a team that values innovation, teamwork, and customer outcomes.
• Develop your career in an environment focused on learning and rapid advancement.
• Receive market-aligned pay, global exposure, and a lively workplace built around creativity.

Role overview

The Site Reliability Engineer will be responsible for keeping Plaud.ai’s AI products dependable and high-performing as they scale. The role also covers incident handling, systems automation, observability, and cross-functional reliability planning.

Key responsibilities

• Maintain the stability and performance of Plaud.ai’s AI products at scale.
• Take ownership of incident response and drive ongoing reliability improvements.
• Create automation that lowers manual effort and strengthens system resilience.
• Work closely with product and engineering teams to design for reliability.
• Enhance monitoring, visibility, and operational practices across systems.

Experience and qualifications

• At least 8 years of experience in Site Reliability Engineering, Infrastructure, or Platform Engineering.
• Strong working knowledge of cloud environments such as AWS, GCP, or Azure.
• Practical experience with Kubernetes and distributed systems.
• Background in on-call support and incident management.
• Ability to code in at least one language, such as Go, Python, or Java.

Preferred profile

• Experience supporting AI/ML or other data-heavy platforms.
• Understanding of SLO and SLA practices.
• Exposure to fast-scaling or globally distributed products.
• Experience with multi-region architectures.
• Strong communication skills, both written and verbal.

Benefits and compensation

• ESOP participation for meaningful ownership in the company’s success.
• A high-impact environment where your work shapes the future of AI productivity.
• Access to modern productivity tools, including Cursor, GPT models, Gemini, Claude, and other frontier AI systems.
• Choice of premium laptops, workstation setups, and Plaud devices for new hires.
• Company offsites, team events, and a culture centered on craftsmanship, ownership, and speed.
• Medical insurance and WICA coverage for all full-time employees, supporting financial security, health, and long-term growth.