DevOps Engineer (AI Infrastructure)

About the Company: We're not here to run campaigns. We're here to help businesses build legacies. OOm is one of Singapore's leading performance digital marketing agencies, and we've been growing businesses since 2006. Across SEO, SEM, social, content, and web, we work as true partners to our clients. We are obsessed with their success, honest about what works, and relentless in our pursuit of results that last well beyond one quarter. Over 8,000 clients. 30+ industry awards. A Premier Google Partner. A Meta Business Partner. But more than the accolades, what defines us is how we work and who we work with. We believe in winning together. That means we back great teams over individual stars, make bold calls over safe ones, and build for tomorrow even when today's demands are loudest. We move with conviction, we show up with grit and resilience, and we never stop growing because that's exactly what we ask of the businesses we serve. We’re looking for a dynamic and driven SEO Team Lead to take ownership of client relationships and deliver impactful campaigns that drive measurable results. If you thrive in a fast-paced, collaborative agency environment and love combining strategy with execution, this role is for you. The Opportunity We are a fast-growing digital agency building AI-powered products. Our AI team is expanding, and we are looking for a skilled DevOps Engineer to help us scale, automate, and secure our infrastructure. Role Overview You will be responsible for setting up and managing the CI/CD pipelines, infrastructure automation, and cloud environments that power our AI/ML workflows. This role is ideal for someone who thrives in fast-paced environments and is excited by the challenge of enabling scalable AI product delivery. Key Responsibilities Design, implement, and maintain CI/CD pipelines for AI models, APIs, and supporting applications. Set up and manage cloud infrastructure (AWS, GCP, or equivalent) with a strong focus on scalability, cost optimization, and security. Support containerized environments using Docker and Kubernetes (EKS, GKE, etc.). Work closely with AI engineers and software developers to automate data pipelines, model training/deployment, and monitoring. Implement and maintain infrastructure as code (IaC) using tools like Terraform or Pulumi. Monitor system performance, troubleshoot production issues, and ensure system reliability and uptime. Enforce best practices in DevOps, security, versioning, and documentation. Requirements 3+ years of DevOps, Site Reliability Engineering, or relevant infrastructure experience. Strong hands-on experience with cloud providers (AWS and GCP preferred). Solid understanding of CI/CD principles and experience with tools like GitHub Actions, GitLab CI, or Jenkins. Experience with Docker, Kubernetes, and container orchestration. Familiarity with IaC tools such as Terraform, CloudFormation, or Pulumi. Working knowledge of networking, security, and access control in cloud environments. Exposure to machine learning or AI deployment workflows is a strong plus. Comfortable collaborating with cross-functional teams including data scientists, backend engineers, and product managers. Nice to Have Experience deploying AI/ML pipelines with tools like MLflow, Airflow, or Kubeflow. Understanding of GPU/TPU setup and auto-scaling strategies for training/inference workloads. Monitoring and logging using Prometheus, Grafana, CloudWatch, or similar tools. Why Join Us Work on real AI products with tangible impact. Autonomy to shape and optimize our AI infrastructure. A collaborative and ambitious team, with leadership open to innovation and experimentation. Opportunities for growth and cross-disciplinary exposure across AI, web, and product development.