🎁 Before you apply, rehearse this interview. Create your free WorkMundi account and get an Interview Training on HelpsYouSpeak — no cost, no card. I want my training →
JOB SUMMARY NivaBiz is seeking an experienced DevOps Engineer to design, build, and operate scalable AI platforms that support the deployment, management, and monitoring of AI and Generative AI solutions across enterprise environments. The ideal candidate should possess strong expertise in Infrastructure as Code using Terraform, CI/CD automation, cloud-native technologies, and a solid understanding of AI, Machine Learning, and Generative AI ecosystems. The successful candidate will work closely with infrastructure engineers, application teams, cloud architects, security teams, and other stakeholders to deliver secure, reliable, and scalable AI platforms. KEY RESPONSIBILITIES Design, implement, and maintain cloud infrastructure using Terraform and Infrastructure as Code principles. Build and manage AI platform environments across Microsoft Azure and AWS. Develop reusable Terraform modules and infrastructure standards. Implement infrastructure automation to improve scalability, reliability, and operational efficiency. Design and maintain CI/CD pipelines using Azure DevOps, GitHub Actions, GitLab CI/CD, or Jenkins. Automate build, testing, deployment, and release processes for AI and application workloads. Implement GitOps and DevSecOps best practices. Support the deployment and lifecycle management of AI, Machine Learning, and Generative AI applications. Build and maintain MLOps capabilities, including model deployment, versioning, monitoring, and governance. Enable integration with AI services such as Azure OpenAI, OpenAI APIs, Azure AI Services, AWS Bedrock, or Vertex AI. Deploy and manage containerised workloads using Docker and Kubernetes. Maintain scalable Kubernetes environments for AI and enterprise applications. Troubleshoot performance, security, and reliability issues within container platforms. Implement cloud-security best practices, Identity and Access Management, secrets management, and compliance controls. Ensure platform reliability, observability, logging, and monitoring. Collaborate with security and governance teams to enforce enterprise standards. REQUIREMENTS Diploma or Degree in Information Technology, Computer Engineering, or a related discipline. Minimum three years of experience in Cloud Engineering, Platform Engineering, DevOps, or Infrastructure Automation. Hands-on experience with Terraform and Infrastructure as Code. Strong experience designing and managing CI/CD pipelines. Experience working with Docker and Kubernetes. Proficiency in at least one cloud platform: Microsoft Azure or AWS. Experience with scripting languages such as Python, PowerShell, Bash, or Shell scripting. Strong understanding of Git, version control, and software-delivery best practices. Experience supporting AI/ML platforms and MLOps environments. Knowledge of Large Language Models and Generative AI. Experience with Azure OpenAI Service, Azure Machine Learning, or AWS Bedrock. Knowledge of monitoring and observability tools such as Prometheus, Grafana, Azure Monitor, Datadog, or Splunk. AI, Cloud, Kubernetes, Terraform, or DevOps certifications will be advantageous. Good working knowledge of DevOps, GitHub Actions, GitLab CI/CD, Jenkins, Git, Docker, and Kubernetes. Interested candidates may apply through MyCareersFuture or submit their updated resume to jobs@nivabiz.com.sg.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.