Senior Engineer/Engineer, Software (Full Stack)

VFLOWTECH PTE. LTD.; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A tech company in Singapore is seeking a developer to design and deploy scalable cloud services for AI/ML workloads. You will build responsive applications with a focus on quality, collaborating with engineers to deliver integrated solutions. Candidates should have a degree in Computer Science or a related field and 3–5 years of experience in enterprise platforms.

Qualifications

• 3–5 years of experience in building enterprise platforms.
• Experience with large-scale web applications and scalable systems.
• Strong understanding of database technologies (SQL and NoSQL).

Responsibilities

• Design and deploy scalable web services for AI/ML workloads.
• Build reactive and responsive Frontend applications.
• Maintain CI/CD pipelines using Azure DevOps.

Skills

Proficiency in programming languages (Python, Java, JS, Go)

Excellent communication skills

Stakeholder management

Education

Bachelor’s or Master’s degree in Computer Science/IT/AI or related field

Tools

AWS Services (Lambda, EC2, etc.)

Docker

Azure DevOps

Job description

Primary Duties

• Design and deploy scalable cloud and on-premise web services for AI/ML workloads
• Develop clean, maintainable code with focus on extensibility and scalability
• Develop platform services on AWS
• Build responsive React-based frontend applications and reusable components
• Collaborate with AI researchers and engineers to deliver integrated solutions

AWS Cloud Development

• Develop applications using Lambda, IoT Core, DynamoDB, CloudWatch, EC2, QuickSight, and Greengrass
• Optimize backend infrastructure performance, security, and reliability

Frontend Development

• Build and maintain React JS applications with custom components and CSS
• Manage npm packages, implement webhooks and ensure responsive design

API & Integration

• Design RESTful APIs for seamless frontend-backend integration
• Implement asynchronous web sockets for AWS component communication
• Understand MCP and tools to build agentic solutions

DevOps & Infrastructure

• Maintain CI/CD pipelines using Azure DevOps Actions for automated deployment
• Utilize Docker and Docker Compose for containerization and environment consistency

Technical Excellence

• Apply strong data structures and algorithms knowledge
• Strong understanding of LLM/AI/ML models
• Ensure code quality through best practices and architectural standards
• Participate in testing, monitoring and performance optimization

Job Requirements

• Bachelor’s or Master’s degree in Computer Science/IT/AI or related field.
• 3–5 years of experience in building enterprise platforms, or large-scale web applications and scalable front-end and back-end systems, with a focus on interoperability, responsiveness, and secure APIs.
• Proficiency in programming languages such as Python, Java, JS, Go etc
• Experience in database technologies such as SQL and No SQL databases
• Excellent communication and stakeholder management skills