Full Stack Java Engineer

Luxoft India; Pune District; On-site; INR 1,600,000 - 2,400,000; Full time

Job summary

Luxoft India is seeking an Integration Engineer in Pune to drive design and delivery of integration components connecting Loan IQ with upstream and downstream systems. You will lead within your pod, mentor developers, and leverage AI-assisted tools and cloud-native patterns to boost productivity, code quality, and delivery speed.

Responsibilities include designing REST APIs and messaging interfaces, building reusable UI components, ensuring code quality, collaborating with QA/PO, and shaping

Qualifications

• 5+ years of backend development experience, ideally in financial services.
• Experience with Loan IQ integration, APIs, and data models is essential.
• Expertise in Java, Spring Boot, REST, and Kafka / MQ.
• Strong integration experience with core banking or lending platforms.
• Experience with CI/CD tools (e.g., Jenkins, GitLab).
• Hands-on experience with Microsoft Azure services.
• Experience building serverless solutions using Azure Functions.
• Strong understanding of cloud-native architecture and integration patterns (e.g., event-driven, microservices, API-led connectivity).
• Familiarity with messaging and integration services on Azure (e.g., Service Bus, Event Grid) is a plus.

Responsibilities

• Lead design and development of REST APIs and messaging interfaces
• Build reusable UI components & frontend frameworks aligned with enterprise standards
• Oversee code quality, conduct peer reviews, and enforce integration best practices
• Collaborate with QA and BA/Product Owner on end-to-end solutions
• Contribute to CI/CD setup and release processes
• Troubleshoot issues and improve performance across interfaces
• Design & implement cloud-native integrations using Azure services & serverless patterns
• Leverage AI-assisted development tools to accelerate code, test, & debug workflows
• Promote AI-based engineering practices & cloud best practices within the team

Skills

Backend development

Loan IQ integration

Java

Spring Boot

REST

Kafka / MQ

Cloud-native architecture

Event-driven

Microservices

API-led connectivity

AI-assisted development

Tools

Jenkins

GitLab

Azure

Azure Functions

Service Bus

Event Grid

Job description

• As an Integration Engineer, you'll drive the design and delivery of integration components that connect Loan IQ with upstream and downstream systems.
• You'll lead technical implementation within your pod, mentor mid-level developers, and leverage modern AI-assisted development tools and cloud-native patterns to enhance productivity, code quality, scalability, and delivery speed.

Responsibilities:

• Lead design and development of REST APIs and messaging interfaces
• Build reusable UI components & frontend frameworks aligned with enterprise standards
• Oversee code quality, conduct peer reviews, and enforce integration best practices
• Collaborate with QA and BA/Product Owner on end-to-end solutions
• Contribute to CI/CD setup and release processes
• Troubleshoot issues and improve performance across interfaces
• Design & implement cloud-native integrations using Azure services & serverless patterns
• Leverage AI-assisted development tools to accelerate code, test, & debug workflows
• Promote AI-based engineering practices & cloud best practices within the team

Mandatory Skills Description:

• 5+ years of backend development experience, ideally in financial services
• Experience with Loan IQ integration, APIs, and data models is essential
• Expertise in Java, Spring Boot, REST, and Kafka / MQ
• Strong integration experience with core banking or lending platforms
• Experience with CI/CD tools (e.g., Jenkins, GitLab)
• Hands-on experience with Microsoft Azure services
• Experience building serverless solutions using Azure Functions
• Strong understanding of cloud-native architecture and integration patterns (e.g., event-driven, microservices, API-led connectivity)
• Familiarity with messaging and integration services on Azure (e.g., Service Bus, Event Grid) is a plus

AI-Assisted Development:

• Hands-on experience with AI-assisted coding tools (e.g., GitLab Copilot, IDE-based copilots)
• Familiarity with using generative AI tools for code generation, unit test creation, debugging, and documentation
• Ability to apply AI tools responsibly to improve developer productivity and code quality while maintaining governance and standards

Nice-to-Have Skills Description:

• DevOps & Tooling:
• Experience with CI/CD tools (e.g., GitLab, Jenkins)