🎁 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 →
Azure Cloud Engineer (DevOps, AI) Working Hours: Mon-Fri (Hybrid) Remuneration: Up to $9,000 + AWS Employment Type: Contract (1 year renewable with chances of conversion) Job Overview We are seeking a Cloud DevOps Engineer to join a public sector technology team, driving cloud transformation, infrastructure automation, platform engineering, and AI enablement initiatives. This role will focus 70% on DevOps/Automation/Platform Engineering/AI & Security, and 30% on Cloud Infrastructure. The successful candidate will design, implement, and support cloud-native infrastructure, CI/CD pipelines, Infrastructure as Code (IaC), and enterprise cloud platforms, working closely with infrastructure, security, application, and business teams to improve operational efficiency, platform reliability, and service delivery. Key Responsibilities DevOps (70%) Design, develop, and maintain Infrastructure as Code (IaC), including reusable modules and templates, and standardise deployments across environments Design, implement, and maintain CI/CD pipelines to automate application and infrastructure deployments, improving release management and deployment reliability Integrate security and compliance controls into CI/CD workflows and support DevSecOps practices across the development lifecycle Support AI-enabled cloud platforms and enterprise AI initiatives, including designing infrastructure for AI workloads, integrating AI services/APIs, and participating in AI Proof-of-Concept (POC) and pilot implementations Evaluate emerging AI technologies, support AI governance/security/compliance requirements, and drive productivity improvements through AI-assisted automation Deploy and support containerised applications, manage Kubernetes-based platforms, and implement GitOps practices (e.g. ArgoCD) Implement monitoring and alerting solutions, develop operational dashboards, and perform performance tuning and capacity planning Manage secrets and credentials securely, support vulnerability scanning and remediation, and implement IM8 compliance requirements Infrastructure Engineering (30%) Design, deploy, and support Microsoft Azure infrastructure, including Virtual Machines, Virtual Networks, Storage, and Platform Services Support Azure Landing Zone implementations and cloud governance; optimise cloud resource utilisation, availability, and performance Administer Microsoft Entra ID and Active Directory environments, including Hybrid Identity, SSO, and MFA support Support Windows Server infrastructure, Azure backup/restoration, and disaster recovery operations Troubleshoot Azure firewall, routing, and connectivity issues, including cloud-to-on-premises connectivity Participate in incident, problem, and change management activities, and conduct root cause analysis for critical incidents Requirements Strong hands-on experience with Microsoft Azure cloud engineering Proficiency in Terraform and Infrastructure as Code (IaC) practices Experience designing and maintaining CI/CD pipelines Understanding of enterprise infrastructure and operational requirements Comfortable troubleshooting production incidents with strong analytical and problem-solving skills Ability to bridge infrastructure, security, DevOps, and AI initiatives Preferred: experience with Government Commercial Cloud (GCC), regulated environments, Palo Alto Firewalls, Azure Landing Zone, AWS, Azure Arc, and IM8 compliance Preferred certifications: Azure Administrator Associate, Azure DevOps Engineer Expert, Azure Solutions Architect Expert, HashiCorp Terraform Associate, CKA, or ITIL Foundation By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy). This authorizes us to: Contact you about potential opportunities. Delete personal data as it is not required at this application stage. All applications will be processed with strict confidence. Only shortlisted candidates will be contacted. Hazel Hui San Tan - R26163129 ScienTec Consulting Pte Ltd - 11C5781
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.
