Cloud Engineer Jobs in Singapore | Entry to Senior Roles
Job Overview
Explore Cloud Engineer Jobs in Singapore for entry-level, mid-level, senior, and lead professionals specializing in the design, deployment, automation, security, and management of modern cloud infrastructure.
Cloud Engineers are responsible for building scalable, secure, highly available, and cost-efficient environments across Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). The role combines cloud infrastructure engineering with automation, networking, security, containers, Infrastructure as Code, monitoring, and DevOps practices.
Candidates with expertise in AWS, Azure, GCP, Kubernetes, Docker, Terraform, Linux, Python, CI/CD, Cloud Security, Infrastructure as Code (IaC), Ansible, Prometheus, Grafana, and DevOps are highly relevant for these opportunities.
Depending on experience, professionals may work across cloud migration, infrastructure automation, Kubernetes platforms, cloud-native application environments, disaster recovery, observability, DevSecOps, Site Reliability Engineering (SRE), FinOps, and enterprise cloud architecture.
Job Title
Position: Cloud Engineer / Senior Cloud Engineer / Cloud Infrastructure Engineer
Location: Singapore
Experience Level: Entry Level to Senior / Lead Roles
Employment Type: Full-Time / Permanent / Contract Opportunities
Work Model: On-site / Hybrid / Remote, depending on the position
Department: Cloud Engineering / Infrastructure / Platform Engineering
Primary Domain: Cloud Computing, Infrastructure Automation & DevOps
Salary Range for Cloud Engineer Jobs in Singapore
Indicative salaries can vary based on experience, cloud platform specialization, certifications, employer, industry, and overall compensation structure.
| Career Level | Indicative Monthly Base Salary | Indicative Annual Base Salary |
|---|---|---|
| Entry / Junior Cloud Engineer | S$4,000 – S$6,000 | S$48,000 – S$72,000 |
| Cloud Engineer | S$5,500 – S$8,500 | S$66,000 – S$102,000 |
| Senior Cloud Engineer | S$8,000 – S$12,500+ | S$96,000 – S$150,000+ |
| Lead / Cloud Architect | S$10,000 – S$16,000+ | S$120,000 – S$192,000+ |
Note: These are broad indicative ranges rather than guaranteed compensation. Specialized expertise in Cloud Architecture, Kubernetes, Cloud Security, DevOps, Terraform, SRE, multi-cloud engineering, and enterprise cloud transformation may command different compensation.
Roles & Responsibilities
- Design, deploy, configure, and maintain scalable cloud infrastructure across AWS, Microsoft Azure, or Google Cloud Platform.
- Build secure and highly available cloud environments supporting enterprise applications and digital platforms.
- Provision and manage compute, storage, networking, databases, load balancers, and other cloud services.
- Develop reusable Infrastructure as Code (IaC) using Terraform, AWS CloudFormation, Azure Bicep, or comparable technologies.
- Automate infrastructure provisioning, configuration, deployment, and operational processes.
- Deploy and manage containerized workloads using Docker and Kubernetes.
- Work with managed Kubernetes platforms including Amazon EKS, Azure AKS, and Google Kubernetes Engine (GKE).
- Configure virtual networks, VPCs/VNets, subnets, routing, DNS, NAT, VPNs, firewalls, security groups, and load balancers.
- Implement cloud identity and access management using IAM, RBAC, MFA, SSO, and least-privilege principles.
- Build and maintain CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI/CD, Azure DevOps, or cloud-native services.
- Automate operational tasks using Python, Bash, Shell scripting, or PowerShell.
- Implement configuration management using tools such as Ansible.
- Configure cloud monitoring, logging, alerting, and observability using CloudWatch, Azure Monitor, Prometheus, Grafana, Datadog, or equivalent platforms.
- Implement cloud security controls for infrastructure, applications, identities, networks, and sensitive data.
- Support cloud migration and application modernization initiatives.
- Design high-availability, backup, disaster recovery, and business-continuity solutions.
- Monitor cloud resource utilization and optimize infrastructure for performance and cost efficiency.
- Support serverless architectures using AWS Lambda, Azure Functions, or Google Cloud Functions.
- Troubleshoot cloud infrastructure, networking, deployment, security, and performance issues.
- Implement DevSecOps practices and integrate infrastructure security into delivery pipelines.
- Support microservices and distributed cloud-native applications.
- Participate in incident response, root-cause analysis, and production troubleshooting.
- Collaborate with Software Engineers, DevOps Engineers, Security Engineers, SRE teams, Data Engineers, and architects.
- Maintain cloud architecture documentation, operational runbooks, infrastructure standards, and deployment procedures.
- Senior professionals may lead cloud migration, multi-cloud strategy, platform modernization, security architecture, and technical mentoring initiatives.
Technical Skill Set
| Technical Area | Skills / Technologies |
|---|---|
| Cloud Platforms | AWS, Microsoft Azure, Google Cloud Platform |
| AWS | EC2, S3, VPC, IAM, EKS, ECS, RDS, Lambda, CloudWatch |
| Microsoft Azure | Azure VMs, VNet, AKS, Azure Functions, Azure Monitor |
| Google Cloud | Compute Engine, GKE, Cloud Storage, Cloud Functions |
| Containers | Docker, Kubernetes |
| Infrastructure as Code | Terraform, CloudFormation, Azure Bicep |
| Configuration Management | Ansible |
| CI/CD | Jenkins, GitHub Actions, GitLab CI/CD, Azure DevOps |
| Operating Systems | Linux, Ubuntu, RHEL |
| Scripting | Python, Bash, Shell, PowerShell |
| Networking | VPC/VNet, DNS, VPN, TCP/IP, Load Balancing |
| Security | IAM, RBAC, MFA, SSL/TLS, Cloud Security |
| Monitoring | Prometheus, Grafana, CloudWatch, Azure Monitor |
| DevOps | CI/CD, Automation, GitOps |
| Serverless | AWS Lambda, Azure Functions, Cloud Functions |
| Architecture | Microservices, Distributed Systems, Cloud Native |
| Reliability | SRE, High Availability, Disaster Recovery |
| Version Control | Git, GitHub, GitLab |
| DevSecOps | Security Automation, Vulnerability Management |
| FinOps | Cloud Cost Monitoring & Optimization |
Required Qualifications
- Bachelor’s degree in Computer Science, Information Technology, Cloud Computing, Software Engineering, or a related discipline, or equivalent practical experience.
- Understanding of cloud-computing concepts and modern infrastructure architecture.
- Knowledge of at least one major cloud platform: AWS, Microsoft Azure, or GCP.
- Strong understanding of Linux administration and operating-system fundamentals.
- Knowledge of networking concepts including TCP/IP, DNS, subnets, routing, VPNs, and load balancing.
- Familiarity with Infrastructure as Code, preferably Terraform.
- Understanding of containers and Kubernetes.
- Knowledge of Git and modern version-control practices.
- Familiarity with CI/CD concepts and automated software delivery.
- Working knowledge of Python, Bash, Shell, or PowerShell scripting.
- Understanding of IAM, cloud-security principles, encryption, and least-privilege access.
- Knowledge of monitoring, logging, and infrastructure troubleshooting.
- Understanding of high availability, scalability, backup, and disaster recovery.
- Ability to troubleshoot infrastructure, networking, application, and security issues.
- Ability to document cloud architecture and operational procedures clearly.
Work Experience
Entry-Level / Junior Cloud Engineer
Suitable for candidates beginning their careers in Cloud Computing, Infrastructure, DevOps, or System Administration.
Candidates should demonstrate cloud fundamentals through internships, academic projects, certifications, labs, or practical projects involving AWS, Azure, GCP, Linux, networking, Docker, Terraform, or scripting.
Cloud Engineer
Professionals should have practical experience deploying, maintaining, and troubleshooting cloud infrastructure.
Expected competencies may include AWS/Azure/GCP, Linux, Terraform, Docker, Kubernetes, networking, CI/CD, monitoring, and infrastructure automation.
Senior Cloud Engineer
Senior professionals should demonstrate experience designing and operating complex cloud environments.
Strong expertise in Cloud Architecture, Kubernetes, Terraform, Cloud Security, DevOps, high availability, disaster recovery, observability, and infrastructure automation is highly valuable.
Lead Cloud Engineer / Cloud Architect
Lead-level professionals may own cloud architecture, migration strategy, infrastructure standards, governance, security, cost optimization, and technical roadmaps.
Experience designing enterprise cloud platforms, hybrid/multi-cloud environments, Kubernetes infrastructure, DevSecOps solutions, and highly available distributed systems is advantageous.
Relevant certifications such as AWS Certified Solutions Architect, AWS Certified DevOps Engineer, Microsoft Azure Administrator/Architect, Google Professional Cloud Architect, CKA, or Terraform Associate can be beneficial.
Communication Skills
- Strong written and verbal communication skills.
- Ability to explain cloud infrastructure and architecture to technical and non-technical stakeholders.
- Strong collaboration skills across Cloud, DevOps, Development, Security, Network, and Infrastructure teams.
- Ability to document architecture, configurations, deployment processes, and operational procedures.
- Strong analytical and structured troubleshooting ability.
- Ability to communicate production incidents, technical risks, and remediation plans clearly.
- Ability to translate business requirements into scalable cloud solutions.
- Strong ownership and accountability for infrastructure reliability.
- Ability to participate effectively in architecture reviews and technical discussions.
- Ability to communicate infrastructure costs, performance considerations, and technical trade-offs.
- Comfortable working with distributed and cross-functional engineering teams.
- Leadership, mentoring, stakeholder management, and technical decision-making skills for senior roles.
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