Forward Deployed Engineer – Multi-Cloud Platform

Visa Hunt; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

NCS is seeking a Forward Deployed Engineer to design, rapidly build, and maintain AI applications across GCP, AWS, and Azure. You will develop APIs and backend jobs, drive transitions from legacy platforms to Agentic workflows, and ensure secure cloud delivery with governance and microservices best practices.

You will collaborate with stakeholders, deliver scalable AI solutions, and stay ahead in a dynamic cloud landscape with strong consulting and customer-first focus.

Qualifications

• Mandatory cloud certifications at professional level.
• 6–7 years of IT experience, preferably with an SI company.
• Hands-on with Python/Java, Kubernetes, cloud services.

Responsibilities

• Design and build solutions leveraging upon AI technologies
• Develop traditional APIs, services and backend jobs in both server and GCP, AWS, Azure environments
• Design and build solutions for transition from traditional, legacy platforms to Agentic workflows
• Refactor existing multi-channel architecture providing differentiated end-user experiences by leveraging AI Technologies, containerization and cloud technology
• Follow governance and microservices development guiding principles in ensuring that the best practices are adhered to as part of the development cycle
• Demonstrate ownership of technical designs, code development, and component test execution to align with functional specification.
• Use configuration management and integration/build automation tools to deploy application code.
• Perform code scans, code reviews and provide critical suggestions for fixes and improvements
• Support issue analysis and resolution activities during test and production support phases
• Collaborate within a project team comprised of talented employees with diverse and complementary skills

Skills

Cloud architecture knowledge

CI/CD & DevOps

Python/Java

Kubernetes

Security best practices

Education

Professional Cloud certifications

Tools

Terraform

Docker

Git/Jira/Confluence

Job description

As a Forward Deployed Engineer at NCS, you will workhands-on, designing, rapidly building and maintaining AI applications built onvarious Cloud environments such as GCP, AWS, Azure.

In this position, your responsibilities will includedesigning, deploying, and supporting various Cloud AI solutions and leverage onservices such as Gemini Enterprise, AWS Bedrock, Cloud Run, Google KubernetesEngine, Google Cloud VMware Engine, and Compute Engine. Your experience shouldcover secure foundations/landing zone delivery, cloud migrations, LLMOps,Agentic Workflows and Rapid Prototyping. A deep understanding of DevOpsprinciples, platform delivery, and application/developer enablement isessential. You will also work with a wide range of applications andarchitectures, requiring a solid comprehension of APIs, software developmentpractices, networking concepts, and security best practices.

You will work closely with technical andnon-technical stakeholders to ensure successful project delivery, provideongoing support, and identify continuous improvement and optimisationopportunities. Excellent communication and problem-solving skills are a must,as is the ability to adapt to evolving requirements and technologies in thedynamic cloud landscape.

Most of all, we'll want you to have strongconsulting skills, a customer-first attitude, a keen focus on secure softwaredelivery, and a desire to add value both internally and externally.

Additional Information

• Previous experience in a similar role as an AI focused Engineer developing, implementing or managing secure Google Cloud/AWS/Azure based AI solutions at an enterprise level
• Strong exposure to AI technologies such as Gen AI, Agentic AI, LLMOps, rapid prototyping, finetuning AI Apps performance etc..
• Mandatory hands-on AI experienceof at least 4 years, with at least one year hands-on experience in different cloud environments.
• Previous experience of working on Government projects
• Previous experience building infrastructure as code with Terraform at an advanced level
• Ability to script in at least one of the following languages: Python, Bash
• Applied knowledge of CI/CD concepts and deployment of platform solutions
• Solutions experience leveraging core services such as Compute Engine, App Engine, Kubernetes Engine, Cloud Storage, BigQuery, Pub/Sub, etc and their equivalent in respective cloud platforms.
• Be well-versed in networking concepts, including virtual private clouds (VPCs), subnets, load balancing, firewalls, and DNS
• Security-focused with a deep understanding of cloud security principles, threats, and mitigation techniques
• Hold one more of the following Professional Level Cloud certifications: Cloud Architect, Cloud DevOps Engineer, Cloud Developer or other professional-level Cloud certifications

Responsibility

• Design and build solutions leveraging upon AI technologies
• Develop traditional APIs, services and backend jobs in bothserver and GCP, AWS, Azure environments
• Design and build solutions for transition from traditional,legacy platforms to Agentic workflows
• Refactor existing multi-channel architecture providingdifferentiated end-user experiences by leveraging AI Technologies, containerizationand cloud technology
• Follow governance and microservices development guidingprinciples in ensuring that the best practices are adhered to as part of thedevelopment cycle
• Demonstrate ownership of technical designs, codedevelopment, and component test execution to align with functionalspecification.
• Use configuration management and integration/buildautomation tools to deploy application code.
• Perform code scans, code reviews and provide criticalsuggestions for fixes and improvements
• Support issue analysis and resolution activities during testand production support phases
• Collaborate within a project team comprised of talentedemployees with diverse and complementary skills

The Requirements

• Mandatory – Hold one or more of Professional Level Cloud certifications: Generative AI Leader, Machine Learning Engineer, Cloud Architect, Cloud DevOps Engineer, Cloud Developer or other professional-level Cloud certifications

• Minimum 6-7 years of relevant IT experience, preferably with an SIcompany
• Technically hands-on IT professional and equipped with one or more of thefollowing languages, tools and technologies:
• Python, Java (minimum version 8),J2EE, Spring, Spring Boot, JPA, Hibernate
• AWS Bedrock, Google Vertex, AzureFoundry
• Strong exposure to various LLMsleveraging on RAG, Agentic workflows, appropriate design patterns and bestpractices
• Strong hands-on experience withcontainerization and cloud technologies (Kubernetes, Docker, AWS EKS/ECS, Fargate, Cloud native services such as GCP Cloud Run/AWS Lambda) as well as DevOps andtesting tools (Git, SVN, TFS, Jira, Confluence, Jenkins, Nexus, Selenium,SonarQube, Fortify)
• Strong understanding of security aspart of design
• Strong exposure to API ManagementFrameworks such as Apigee, WSO2 etc
• Good exposure to Javascript frameworkssuch as React.js, Angular.js etc
• Databases such as MySQL, MS SQL,Oracle
• BigQuery, AWS native NoSQL such as DynamoDB,Aurora, MS Fabric
• Strong exposure to cloud-nativeapplication architecture etc
• Good understanding of fine tuningperformance in production systems
• Hands on in troubleshooting productionissues
• Experience in softwaredevelopment and maintenance lifecycle
• Strong problem solving skills with the ability to engage all stakeholdersup to Director Level
• Strong verbal and writtencommunication skills with excellent interpersonal and leadership qualities