AI DevOps Engineer

Millennium; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

Millennium in Singapore seeks an experienced AI DevOps Engineer to deliver SDLC tooling and platform automation. You will build AI-focused DevTools, automate upgrades, and provide expert support for the DevOps platform.

The role requires strong coding skills, GitOps competence, and cloud/Kubernetes experience, with an emphasis on security and observability. Join a team focused on reliability and rapid iteration.

Qualifications

• Broad AI DevOps experience across the SDLC with focus on software quality.
• Proficient in Python and/or Java/Go and OO programming.
• GitOps workflows and CI tools, e.g., GitHub Actions.
• Cloud experience with AWS or GCP.
• Strong container skills and Kubernetes, with CD patterns.
• Infrastructure as Code with Terraform, CloudFormation or Ansible.
• Observability experience with DataDog and Elastic.

Responsibilities

• Engage with our developer community with a focus on successful outcomes.
• Build secure AI Dev Tools and integrations to improve the developer experience.
• Automate and deploy upgrades to our DevOps platform.
• Provide Level 3 technical support around our DevOps platform.
• Implement best practices around security and observability of our DevOps platform.
• Participate in our on‑call rotation and blameless postmortem practices for incidents.

Skills

Python

GitOps

CI/CD

Cloud

Kubernetes

Terraform

Observability

SRE

OO language

Education

BSc in Computer Science/Engineering

Tools

GitHub Actions

Terraform

Docker

Kubernetes

AWS

GCP

Job description

About Millennium

Millennium is a global, diversified alternative investment firm, founded in 1989. Defined by evolution, innovation and focus, Millennium’s mission is to deliver results for our investors.

About Millennium

Millennium is a global, diversified alternative investment firm, founded in 1989. Defined by evolution, innovation and focus, Millennium’s mission is to deliver results for our investors.

Our people are empowered with both independence and support: the autonomy to pursue ideas with conviction and the backing of a global network committed to collaboration, disciplined risk management and continuous learning. With opportunities to deepen expertise and accelerate development, talent at Millennium is equipped to adapt, evolve and build lasting impact over time. Discover how transformative growth accelerates impact.

Meet the Team

In the Core DevOps Team, the developer experience is at the forefront of everything we do. To expand our capabilities and enhance the AI-centric developer experience we are growing our team, looking for an experienced AI DevOps Engineer. This person will be responsible for delivering key SDLC capabilities that enable a successful DevOps platform, deploying product updates through automation, identifying and resolving production issues within the platform, and implementing AI-focused integrations to enhance the developer experience. If you have a solid background in AI DevOps, SRE, or Software Engineering with a passion for DevOps, then we would love to speak with you!

What You'll Do

• Engage with our developer community with a focus on successful outcomes
• Build secure AI Dev Tools and integrations to improve the developer experience
• Automate and deploy upgrades to our DevOps platform
• Provide Level 3 technical support around our DevOps platform
• Implement best practices around security and observability of our DevOps platform
• Participate in our on‑call rotation and blameless postmortem practices for incidents

What You Bring

• BSc in Computer Science, Engineering, or relevant field
• Broad experience with AI Coding Tools through all phases of the Software Development Lifecycle with good knowledge of test driven development with a focus on software quality
• Solid programming experience in an object oriented language, preferably Python (Python, Java, Go, etc.)
• Proficient in GitOps workflows and CI tools like GitHub Actions
• Good experience running DevOps tools in the cloud (AWS preferred, GCP)
• A mastery of containers and a working knowledge of Kubernetes, including Continuous Deployment patterns
• Solid Infrastructure as Code programming experience (Terraform, CloudFormation, Ansible)
• Experience implementing observability with DataDog and Elastic