Fullstack Engineer (C# / .NET Core, Node.js / TypeScript, Python)

Luxoft; Kuala Lumpur; On-site; MYR 1,200,000 - 2,000,000; Full time

Job summary

Luxoft in Kuala Lumpur is seeking a seasoned Full Stack Software Engineer to contribute to a strategic program delivering cloud-native backends for AI modules. You will design, develop, test, and deploy microservice-based applications across frontend and backend using Node.js, TypeScript, Python, and .NET Core.

You will leverage AWS, IaC with CloudFormation, Docker, and CI/CD pipelines to ensure reliability, scalability, and security while collaborating in an Agile, cross-functional team.

Qualifications

• Strong hands-on experience as a Full Stack Software Engineer developing production-grade applications.
• Strong backend development experience with Node.js/TypeScript and Python.
• Experience designing microservices and RESTful APIs.
• Hands-on AWS and building cloud-native applications.
• Experience with IaC using AWS CloudFormation.
• Understanding of microservices, distributed systems, and integration patterns.
• Experience with unit testing and automated End-to-End testing.
• Experience with Docker and containerized development.
• CI/CD pipelines and automated software delivery.
• Application monitoring, troubleshooting, and production support.
• Strong practices for clean code, security, scalability, and maintainability.
• Ability to work in Agile teams and collaborate across distributed groups.
• Good English communication and collaboration skills.

Responsibilities

• Design, develop, test, and deploy scalable microservice-based applications across frontend and backend.
• Develop backend services and APIs using C#/.NET Core, Node.js, and Python.
• Design and implement scalable solutions leveraging AWS cloud services.
• Define, provision, and maintain AWS infrastructure using CloudFormation.
• Maintain integrations between microservices and platform components.
• Develop unit tests and automated End-to-End tests to ensure reliability.
• Containerize applications with Docker and integrate into CI/CD pipelines.
• Monitor health, troubleshoot production issues, and improve performance.
• Participate in code reviews and solution design discussions.
• Apply software engineering best practices and work in an Agile environment.

Skills

Node.js

TypeScript

Python

AWS

Microservices

REST APIs

CI/CD

Docker

IaC

E2E Testing

Agile

English Communication

Tools

AWS CloudFormation

Terraform

Kubernetes

Datadog

Grafana

Job description

Our client, a leading manufacturer of high-end household appliances, is expanding into new smart product lines. As part of this strategic initiative, a large-scale global program is being implemented across the company's IP portfolio. This includes the development of new embedded software, enhancements to cloud infrastructure, and the creation of innovative interfaces within the mobile application. As a backend engineer you will be responsible for cloud part for AI related modules.

Responsibilities:

Design, develop, test, and deploy scalable, high-performance microservice-based applications across frontend and backend components.

Develop backend services and APIs using C#/.NET Core, Node.js (TypeScript), and Python.

Design and implement scalable solutions leveraging AWS cloud services and cloud-native architecture principles.

Define, provision, and maintain AWS infrastructure using Infrastructure as Code (IaC) with AWS CloudFormation.

Design and maintain reliable integrations between microservices and other platform components.

Develop comprehensive unit and automated End-to-End (E2E) tests to ensure application reliability and maintain high code quality.

Containerize applications and services using Docker and support their integration into CI/CD pipelines.

Monitor application and platform health, investigate production issues, and implement improvements to ensure performance, reliability, and stability.

Troubleshoot complex technical issues across frontend, backend, infrastructure, and integration layers.

Participate in code reviews, technical discussions, solution design, and collaborative development sessions.

Apply software engineering best practices, including clean code, maintainability, scalability, security, and automated testing.

Work within an Agile development environment, collaborating closely with engineering, product, and other cross-functional teams.

Contribute to continuous technical improvement by evaluating emerging technologies, proposing enhancements, and experimenting with new approaches during dedicated innovation time.

Mandatory Skills Description:

Strong hands-on experience as a Full Stack Software Engineer developing production-grade applications.

Strong backend development experience with:

Node.js / TypeScript

Python

Strong experience designing and developing microservices and RESTful APIs.

Strong practical experience with AWS and building cloud-native applications.

Hands-on experience with Infrastructure as Code (IaC) using AWS CloudFormation.

Strong understanding of microservices architecture, distributed systems, and application integration patterns.

Hands-on experience with unit testing and automated End-to-End (E2E) testing.

Experience with Docker and containerized application development.

Practical experience working with CI/CD pipelines and automated software delivery processes.

Experience with application monitoring, troubleshooting, and production support.

Good understanding of software engineering best practices, including clean code, code reviews, security, scalability, and maintainability.

Proven experience delivering production-grade software within Agile development teams.

Strong problem-solving and analytical skills.

Good English communication skills and ability to collaborate effectively within distributed, cross-functional engineering teams.

Nice-to-Have Skills Description:

Experience with Kubernetes and container orchestration.

Knowledge of additional Infrastructure as Code tools such as Terraform or AWS CDK.

Experience with observability and monitoring solutions such as AWS CloudWatch, Datadog, Splunk, or Grafana