Full-Stack Engineer

Key Responsibilities:

1. Application Observability Setup under AWS CloudWatch based on client requirements

• Design, configure and maintain AWS CloudWatch Synthetics Canaries and related monitoring capabilities for client applications, in accordance with application observability and monitoring requirements.
• Write and refine canary test scripts per application to accurately validate functionality/availability; iterate on scripts in UAT before promoting to PRD, and refine again in PRD to account for environment-specific differences (network paths, auth, endpoint configs).
• Implement application health checks, availability monitoring, performance monitoring, dashboards, metrics, logs and alerts to provide proactive visibility of application health.
• Enable CloudWatch dashboard/metrics visibility in observability PRD account so canary results are viewable by stakeholders.
• Troubleshoot and resolve any canary failures or false positives during rollout.
• Work with application teams to troubleshoot performance and availability issues identified through monitoring and observability tools.
• Support continuous improvement of application monitoring, alerting and operational dashboards.

2. Perform the migration of the existing managed runner to a managed runner to support application deployment

• Plan and execute the migration of the existing managed CI/CD runner to the managed runner for applications.
• Assess existing build and deployment configurations, dependencies, environment variables, credentials and integration requirements prior to migration.
• Perform configuration, testing, troubleshooting and validation to ensure applications can be successfully built and deployed through the managed environment.
• Work with relevant platform and application teams to resolve deployment pipeline and runner-related issues.

3. Support the backend work e.g., setup of MCP Servers for AI integration with authorized knowledge sources

• Design, develop, configure and maintain backend integration components and services required by client applications.
• Set up and maintain Model Context Protocol (MCP) servers and associated APIs/services to enable AI-enabled applications to securely access authorized knowledge sources.
• Develop integrations with client systems and knowledge repositories.
• Implement appropriate authentication, authorization, API management, logging, error handling and data transformation mechanisms for system-to-system integrations.
• Work with application and data owners to understand source-system interfaces and develop reusable integration services where appropriate.

4. Support & manage CI/CD applications deployment pipeline for new & existing products/applications, including migration of existing products/applications to Infra-as-Code (IaC) setup

• Work closely with product and application teams to establish, configure and manage CI/CD deployment pipelines for client applications.
• Support the onboarding and migration of existing applications onto deployment processes.
• Review existing application deployment architecture and progressively migrate manually configured infrastructure and deployment components towards Infrastructure-as-Code (IaC).
• Develop and maintain IaC templates/scripts for consistent and repeatable provisioning and deployment across development, testing and production environments.
• Troubleshoot CI/CD pipeline, deployment, environment and infrastructure configuration issues.
• Promote reusable deployment patterns and automation to reduce manual deployment effort and configuration inconsistencies.

Preferred Technical Competencies:

The candidate should have hands-on knowledge or experience in several of the following areas:

• Cloud infrastructure, preferably AWS and/or GCC
• GitHub, Git or equivalent source code management platforms
• CI/CD pipelines and deployment automation
• Enterprise DevSecOps platforms
• CI/CD runners and build/deployment agents
• Application observability and APM
• Logging, metrics, tracing, dashboards, and alerting
• Observability platforms
• Docker and containerized applications
• Kubernetes or managed container platforms
• Infrastructure-as-Code and configuration automation
• Linux and/or Windows server administration
• SFTP and managed file-transfer solutions
• REST APIs and system integration
• Networking fundamentals including DNS, routing, firewall rules, proxies and load balancers
• TLS/SSL certificates, secrets, and identity/access management
• Scripting using PowerShell, Bash, Python, or equivalent
• Application incident, problem, and change management

Qualifications & Experience:

• Diploma/Degree in Computer Science, Information Technology, Computer Engineering, or a related discipline preferred.
• Preferably 3–5 years of relevant experience in application infrastructure, DevOps, cloud engineering, platform engineering, or application operations.
• Hands-on experience supporting production applications and troubleshooting across application and infrastructure layers.
• Experience with CI/CD, source code management, and deployment automation.
• Experience with cloud-hosted applications and modern application architectures.
• Good understanding of application observability, performance monitoring, and operational support.
• Experience working in Singapore Government ICT/GCC environments would be advantageous.
• Experience with enterprise DevSecOps, observability or other Singapore Government Tech Stack platforms would be advantageous.

Desired Attributes:

• Strong troubleshooting and analytical skills with the ability to diagnose issues across application, infrastructure, and integration layers.
• Able to work effectively across application developers, infrastructure teams, cybersecurity teams, vendors, and WOG service providers.
• Strong operational mindset with emphasis on reliability, automation, standardization, and maintainability.
• Able to translate application requirements into practical infrastructure and deployment solutions.
• Comfortable managing multiple applications and technical stakeholders.
• Good documentation and communication skills.
• Proactive in identifying operational risks and opportunities for engineering improvement.