Full-Stack Engineer - #1621

Core Responsibilities:

Canary setup for app observability under AWS CloudWatch

a. Design, configure and maintain AWS CloudWatch Synthetics Canaries and related monitoring capabilities for applications, in accordance with application observability and monitoring requirements.
b. 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 configurations).
c. Implement application health checks, availability monitoring, performance monitoring, dashboards, metrics, logs and alerts to provide proactive visibility of application health.
d. Enable CloudWatch dashboard/metrics visibility in the observability PRD account so canary results are viewable by stakeholders.
e. Troubleshoot and resolve any canary failures or false positives during rollout.
f. Work with application teams to troubleshoot performance and availability issues identified through monitoring and observability tools.
g. Support continuous improvement of application monitoring, alerting and operational dashboards.

Perform the migration to support application deployment

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

Support backend work, e.g. setup of MCP Servers for AI integration

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

Support and manage SHIP-HATS application deployment pipelines for new and existing products/applications, including migration of existing products/applications to Infrastructure-as-Code (IaC) setup

a. Work closely with product and application teams to establish, configure and manage SHIP-HATS CI/CD deployment pipelinesb. Support the onboarding and migration of existing applications onto SHIP-HATS deployment processes.
c. Review existing application deployment architecture and progressively migrate manually configured infrastructure and deployment components towards Infrastructure-as-Code (IaC).
d. Develop and maintain IaC templates/scripts for consistent and repeatable provisioning and deployment across development, testing and production environments.
e. Troubleshoot CI/CD pipeline, deployment, environment and infrastructure configuration issues.
f. 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:

a. Cloud infrastructure, preferably AWS and/or GCC
b. GitHub, Git or equivalent source code management platforms
c. CI/CD pipelines and deployment automation
d. SHIP-HATS or equivalent enterprise DevSecOps platforms
e. CI/CD runners and build/deployment agents
f. Application observability and APM
g. Logging, metrics, tracing, dashboards and alerting
h. StackOps or equivalent observability platforms
i. Docker and containerised applications
j. Kubernetes or managed container platforms
k. Infrastructure-as-Code and configuration automation
l. Linux and/or Windows server administration
m. SFTP and managed file-transfer solutions
n. REST APIs and system integration
o. Networking fundamentals including DNS, routing, firewall rules, proxies and load balancers
p. TLS/SSL certificates, secrets, and identity/access management
q. Scripting using PowerShell, Bash, Python, or equivalent
r. Application incident, problem, and change management

Qualifications & Experience

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

Desired Attributes

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