Full Stack Engineer

Luxoft; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Luxoft in Bengaluru seeks a Backend Engineer to drive cloud-based AI modules and scalable microservices. You will design and deploy services on AWS using ECS, Lambda, and API Gateway, integrating with DynamoDB, RDS, and caching layers.

You will collaborate with frontend and backend teams using React, .NET Core, Node.js/TypeScript, and Python to create robust interfaces and services. A strong emphasis on testing and CI/CD ensures reliable, scalable software delivery.

Qualifications

• Strong hands-on experience developing microservices across stacks: AWS, React, .NET Core, Node.js/TypeScript, Python.
• AWS Cloud & IaC (CloudFormation) proficiency in cloud infrastructure.
• Experience with testing: unit and automated end-to-end testing.
• Containers and CI/CD with Docker and related tooling.
• Agile delivery experience in production-grade software.

Responsibilities

• Design, build, and deploy scalable microservices using AWS ECS, Lambda, API Gateway, DynamoDB, RDS, ElastiCache, and Load Balancers.
• Collaborate across teams to build modern web interfaces and backend services using AWS, React, .NET Core, Node.js/TypeScript, and Python.
• Develop and deploy high-performance microservices using C# .NET Core, Node.js (TypeScript), and Python.
• Define and manage AWS resources with CloudFormation (IaC).
• Write robust unit tests and automated end-to-end tests for reliability and quality.
• Monitor production systems to ensure platform health and stability; fix issues and optimize performance.
• Participate in team-based development, code reviews, and explore emerging technologies during Innovation time.

Skills

AWS Cloud

CloudFormation

Microservices

Docker

CI/CD

Unit testing

E2E testing

Agile

Node.js

TypeScript

Python

C# .NET Core

React

Tools

Terraform

AWS CDK

Datadog

Grafana

CloudWatch

Kubernetes

CI/CD pipelines

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:

• 1. Design, build, and deploy scalable microservice applications using AWS ECS (Docker containers), Lambda, API Gateway, DynamoDB, RDS, ElastiCache, and Load Balancers
• 2. Collaborate across engineering teams to build modern web interfaces and backend services using AWS, React, .NET Core, Node.js/TypeScript, and Python
• 3. Design, develop, test, and deploy high-performance microservices using C# .NET Core, Node.js (TypeScript), and Python
• 5. Define and manage cloud resources on AWS using CloudFormation (Infrastructure as Code)
• 6. Write robust unit tests and automated end-to-end (E2E) tests for software reliability and code quality
• 7. Monitor, measure, and investigate production issues to ensure platform health and stability
• 8. Participate in team-based development sessions, code reviews, and use dedicated Personal Innovation time to explore emerging technologies

Mandatory Skills Description:

• Strong hands-on experience developing microservices using all three stacks
• - AWS Cloud & IaC (CloudFormation): Proficiency in AWS cloud infrastructure and Infrastructure as Code using CloudFormation
• - Testing (Unit & E2E): Hands-on experience with unit testing frameworks and automated end-to-end testing tools
• - Containers & CI/CD: Familiarity with Docker/virtualization tools alongside CI/CD pipelines
• - Agile Delivery: Proven experience delivering production-grade software within Agile development 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.