Full Stack Engineer (C#/.NET & Node.js / TypeScript)

Luxoft Malaysia

Malaysia

On-site

MYR 140,000 - 220,000

Full time

38 hours ago
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Job summary

Luxoft Malaysia is seeking a motivated Full Stack Software Engineer to drive a large-scale program across embedded software, cloud infrastructure, and mobile interfaces. You will design, develop, test, and deploy scalable microservice-based applications across frontend and backend, primarily using C#/.NET Core, Node.js/TypeScript, and Python.

You will design and implement scalable AWS cloud-native solutions, provision infrastructure with CloudFormation, containerize with Docker, and integrate

Qualifications

  • Strong hands-on experience as a Full Stack Software Engineer delivering production-grade applications.
  • Backend experience with Node.js/TypeScript and Python.
  • Experience designing microservices and RESTful APIs.
  • Strong AWS experience and building cloud-native apps.
  • IaC using AWS CloudFormation (and related tools).
  • Knowledge of microservices architecture, distributed systems, and integration patterns.
  • Unit testing and automated End-to-End testing.
  • Docker containerization and CI/CD pipeline integration.
  • Proactive in monitoring, troubleshooting, and production support.
  • Good English communication and collaboration in distributed teams.

Responsibilities

  • Design, develop, test, and deploy scalable 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 IaC with AWS CloudFormation.
  • Develop comprehensive unit and automated End-to-End tests to ensure reliability and code quality.
  • Containerize applications with Docker and integrate into CI/CD pipelines.
  • Monitor health, troubleshoot production issues, and implement improvements for performance and stability.
  • Collaborate in code reviews and solution design within Agile teams.
  • Apply best practices for clean code, security, and maintainability.
  • Contribute to continuous technical improvement during innovation time.

Skills

Node.js / TypeScript
Python
AWS
AWS CloudFormation
Docker
CI/CD pipelines
Microservices
RESTful APIs
Unit & E2E testing
Kubernetes (Nice-to-have)

Tools

Terraform
AWS CDK
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.
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