Senior Software Engineer

Virtusa; Minneapolis (MN); On-site; USD 120,000 - 180,000; Full time

Job summary

Virtusa Corporation is seeking an experienced full-stack technologist to design and deliver AI-powered enterprise solutions. You will build modern frontends with React/Angular and robust backends with Java/.NET/Python, while integrating REST/GraphQL services and advanced AI workflows.

You will work across cloud providers, implement DevOps practices, ensure security/compliance, and drive responsible AI governance in a fast-paced environment.

Qualifications

• 8+ years of experience in full-stack development with AI/GenAI focus.
• Experience delivering end-to-end AI-enabled enterprise solutions across frontend and backend stacks.

Responsibilities

• Design, develop, test, deploy, and support end-to-end AI-powered enterprise applications and digital solutions.
• Build modern frontend applications using React, Angular, TypeScript, HTML5, CSS, and responsive UI frameworks.
• Develop scalable backend services using Java, Spring Boot, .NET, C#, Node.js, Python, and microservices architectures.
• Design, develop, and integrate RESTful APIs, GraphQL services, and enterprise integrations across internal and external platforms.
• Build and optimize database solutions using SQL Server, PostgreSQL, NoSQL, Vector Databases, and enterprise data platforms.
• Develop and deploy AI/GenAI solutions leveraging OpenAI, Azure AI, Gemini, Claude, Semantic Kernel, LangChain, and LangGraph frameworks.
• Implement Retrieval-Augmented Generation (RAG), semantic search, embeddings, vector databases, and knowledge retrieval systems.
• Design and build Agentic AI workflows, autonomous agents, orchestration frameworks, and AI-powered automation solutions.
• Develop cloud-native applications utilizing Azure, AWS, or GCP cloud services, serverless computing, storage, messaging, and AI services.
• Implement DevOps practices including GitHub, CI/CD pipelines, Docker, Kubernetes, Infrastructure as Code (IaC), monitoring, and automated testing.
• Collaborate with Product Managers, Architects, Data Scientists, Security, Compliance, and Business teams to deliver high-value AI solutions.
• Ensure Responsible AI, security, governance, privacy, compliance, observability, and operational excellence throughout the AI lifecycle.

Skills

Java

Spring Boot

.NET

C#

Node.js

Python

Microservices

React

Angular

TypeScript

HTML5/CSS

Gen AI

OpenAI

Azure AI

Gemini

Claude

LangChain

LangGraph

RAG

semantic search

vector databases

APIs GraphQL

RESTful APIs

SQL Server

PostgreSQL

NoSQL

Vector databases

Azure

AWS

GCP

CI/CD

Docker

Kubernetes

IaC

observability

security & compliance

Tools

Docker

Kubernetes

GitHub

Terraform

LangChain

LangGraph

Job description

Job Requirements

• JD for Java Full Stack + Gen AI -
• Design, develop, test, deploy, and support end-to-end AI-powered enterprise applications and digital solutions.
• Build modern frontend applications using React, Angular, TypeScript, HTML5, CSS, and responsive UI frameworks.
• Develop scalable backend services using Java, Spring Boot, .NET, C#, Node.js, Python, and microservices architectures.
• Design, develop, and integrate RESTful APIs, GraphQL services, and enterprise integrations across internal and external platforms.
• Build and optimize database solutions using SQL Server, PostgreSQL, NoSQL, Vector Databases, and enterprise data platforms.
• Develop and deploy AI/GenAI solutions leveraging OpenAI, Azure AI, Gemini, Claude, Semantic Kernel, LangChain, and LangGraph frameworks.
• Implement Retrieval-Augmented Generation (RAG), semantic search, embeddings, vector databases, and knowledge retrieval systems.
• Design and build Agentic AI workflows, autonomous agents, orchestration frameworks, and AI-powered automation solutions.
• Develop cloud-native applications utilizing Azure, AWS, or GCP cloud services, serverless computing, storage, messaging, and AI services.
• Implement DevOps practices including GitHub, CI/CD pipelines, Docker, Kubernetes, Infrastructure as Code (IaC), monitoring, and automated testing.
• Collaborate with Product Managers, Architects, Data Scientists, Security, Compliance, and Business teams to deliver high-value AI solutions.
• Ensure Responsible AI, security, governance, privacy, compliance, observability, and operational excellence throughout the AI lifecycle.

Work Experience

7-10Years