Senior DevOps Engineer - Singapore

About Plaud Inc.

Plaud is building the world's most trusted AI work companion for professionals to elevate productivity and performance through note-taking solutions, loved by over 1,000,000 users worldwide since 2023. With a mission to amplify human intelligence, Plaud is building the next-generation intelligence infrastructure and interfaces to capture, extract, and utilize what you say, hear, see, and think.

Plaud Inc. is a Delaware-incorporated, San Francisco-based company pushing the boundary of human–AI intelligence through a hardware–software combination. With ISO 27001, ISO 27701, GDPR, SOC 2, HIPAA, and EN 18031 compliance, Plaud is committed to the highest standards of data security and privacy protection.

To learn more about Plaud, please visit https://www.plaud.ai and follow along on Instagram, X, Facebook, LinkedIn, and YouTube

Why You Should Join Us

Plaud is building the next generation intelligence infrastructure and interfaces to capture, extract, and utilize intelligence from what people say, hear, see, and think.

• Plaud is a bootstrapped, skyrocketing, profitable company with a $250M revenue run rate achieved in just three years.

• Define the next-gen paradigm for human-AI interaction.

• Gain exposure to cutting-edge AI for Pro tools and play a direct role in our global expansion.

• Work with passionate teammates who value innovation, collaboration, and customer success.

• Grow your career in a culture that champions continuous learning and fast career development.

• Market-competitive compensation, global exposure, and a vibrant, creativity-fueled work atmosphere.

What you will do

• Build scalable CI/CD pipelines for Plaud.ai platforms

• Automate infrastructure using IaC tools

• Enable fast, reliable releases for AI teams

• Improve deployment safety and rollback strategies

• Support multi-region cloud environments

Skills, qualifications and experience we look for

• 5+ years in DevOps or Platform Engineering

• Strong CI/CD experience (GitHub Actions, GitLab, Jenkins)

• Infrastructure as Code (Terraform, CloudFormation)

• Kubernetes and container ecosystems

Cloud experience (AWS/GCP/Azure)

Preferred Qualifications

• Experience with AI/ML platforms or data pipelines

• Security and compliance awareness

• Experience in multi-region deployments

• Platform-as-a-product mindset

• Exposure to cost optimization