(Senior) DevOps Engineer- AI Innovation

Responsibilities

Contribute to system architecture design

Improve and manage Terraform, K8S, logging and CI/CD pipeline

Develop tools for application and performance monitoring

Develop and deploy cloud infrastructure in IaC manner

Design and implement auto scaling, disaster recovery & backup solution

Design and build the data engineering, data warehousing and machine learning platform

Automate and streamline operations and processes

Communicate, escalate and follow up as appropriate to ensure that problems are solved

Continuously improve availability, reliability, and observability and cost-effectiveness

Personal Attributes

Desire to grow expertise, inform, and educate others

Curiosity about finding root causes demonstrating troubleshooting skills

Capable to pick up various technologies, a fast learner and have a “get things done” mentality

Humble to embrace better ideas from others, eager to make things better, open to challenges and possibilities

Requirement

Experience coding in Python, Nodejs, shell scripting

Experience in one or more of the public cloud: AWS, Azure, GCP

Experience in designing resilient system architecture

Experience in managing server infrastructure and Kubernetes clusters

Experience in building CICD pipelines of a large scale enterprise application

Experience in SageMaker, Databricks, MLFlow, MLOps will be a plus

Familiar with GitOps principles and CI/CD tools (Github Actions, ArgoCD, Tekton)

Familiar with containerisation and orchestration tools (Docker, Kubernetes, Helm)

Familiar with IaC tools (Terraform, Ansible)

Familiar with monitoring tools (Cloudwatch, Grafana, Prometheus, ELK, and/or OpenTelemetry)

Familiar with Cloud/Linux networkings, DNS, Common tweaks/command lines for linux

Familiar with Next.js/Nest.js, Flask/FastAPI, Stable Diffusion/ComfyUI will be a plus