Senior Full Stack Java Engineer

Akaasa Technologies; New Jersey; Hybrid; USD 140,000 - 190,000; Full time

Job summary

Akaasa Technologies in Weehawken, NJ is seeking a Senior Full Stack Java Engineer to design and deliver enterprise integration solutions connecting Loan IQ with upstream and downstream platforms. You will work with Azure cloud services, AI-assisted development tools, and CI/CD practices to accelerate delivery while ensuring security and quality across the SDLC.

The role emphasizes hands-on coding, API design, and collaboration with cross-functional teams to implement scalable, cloud-native

Qualifications

• 8+ years of software engineering experience, ideally in financial services.
• Strong expertise in Java, Spring Boot, REST APIs and distributed systems.
• Experience with Kafka, IBM MQ, or similar messaging technologies.
• Deep understanding of loan IQ integration and enterprise API design.

Responsibilities

• Design and develop REST APIs, event-driven integrations, and messaging interfaces.
• Build and maintain integrations between Loan IQ and enterprise applications.
• Design and implement AI-powered agents and workflows to improve SDLC processes.
• Collaborate with QA, business analysts, product owners, and architects to deliver end-to-end solutions.
• Promote engineering best practices and contribute to CI/CD automation and deployments.

Skills

Java

Spring Boot

REST APIs

Distributed systems

Kafka

IBM MQ

Loan IQ integration

API design

AI-assisted development

Tools

Azure

Azure Functions

Azure Service Bus

Cloud-native architecture

Job description

Senior Full Stack Java Engineer

Location

Weehawken, New Jersey, US (Hybrid 3 days/office)

We can consider candidates w/o LoanIQ

Project description

As a Senior Full Stack Java Engineer within the US Corporate Loans POD, you will design, develop, and deliver enterprise integration solutions connecting Loan IQ with upstream and downstream platforms. You will leverage modern cloud-native technologies, AI-assisted development tools, and Agentic AI practices to improve software quality, scalability, and delivery velocity.
A key expectation of this role is hands-on experience building AI agents and intelligent engineering solutions that automate and enhance Software Development Lifecycle (SDLC) processes, improving developer productivity and accelerating delivery outcomes.

Responsibilities

• Design and develop REST APIs, event-driven integrations, and messaging interfaces.
• Build and maintain integrations between Loan IQ and enterprise applications.
• Design and implement AI-powered agents and workflows that improve SDLC processes and engineering productivity.
• Leverage AI-assisted development tools to accelerate coding, testing, debugging, code reviews, and documentation.
• Collaborate with QA, Business Analysts, Product Owners, and Architects to deliver end-to-end solutions.
• Conduct code reviews and promote engineering, integration, and cloud best practices.
• Contribute to CI/CD automation, release management, and deployment processes.
• Design and implement cloud-native integration solutions using Azure services and serverless technologies.
• Troubleshoot production issues and optimize application and integration performance.

Skills

Must have

Core Engineering

• 8+ years of software engineering experience, ideally within Financial Services.
• Strong expertise in Java, Spring Boot, REST APIs, and distributed systems.
• Experience with Kafka, IBM MQ, or similar messaging technologies.
• Strong integration experience with Loan IQ, lending, banking, or enterprise platforms.
• Deep understanding of API design, system integration, and enterprise application architecture.

Agentic AI & Software Engineering

• Experience building AI Agents and Agentic Software Engineering solutions to automate and enhance SDLC processes.
• Hands-on experience with Java-based AI frameworks such as Spring AI, LangChain4j, Semantic Kernel, MCP (Model Context Protocol), or similar technologies.
• Experience implementing RAG, prompt engineering, tool calling, workflow orchestration, and agent-based architectures.
• Experience applying AI to:
  • Code generation
  • Automated testing
  • Code reviews
  • Documentation generation
  • Troubleshooting and incident analysis
  • Developer productivity automation
• Strong understanding of AI governance, security, observability, and responsible AI practices.

Cloud & Architecture

• Hands-on experience with Microsoft Azure services.
• Experience building serverless solutions using Azure Functions.
• Strong understanding of cloud-native architecture, microservices, and event-driven integration patterns.
• Experience with Azure Service Bus, Event Grid, or similar cloud messaging platforms.
• Familiarity with Azure OpenAI and AI-enabled cloud architectures is highly desirable.

AI-Assisted Development

• Hands-on experience with AI-assisted development tools such as GitHub Copilot, GitLab Duo, Cursor, Windsurf, or similar platforms.
• Experience leveraging Generative AI for coding, testing, debugging, documentation, and engineering productivity improvements.
• Ability to apply AI tools responsibly while maintaining governance, compliance, security, and quality standards.

DevOps & Tooling

• Experience with GitLab CI/CD, Jenkins, Azure DevOps, or similar CI/CD platforms.
• Experience with Docker, Kubernetes, and containerized deployments.
• Strong understanding of DevOps, automated testing, release management, and deployment automation

Nice to have

• Experience in Commercial Lending, Loan Servicing, Corporate Banking, or Capital Markets.
• Azure certifications or relevant cloud certifications.
• Experience building enterprise AI applications, copilots, or agentic solutions.
• Passion for modern software engineering, AI innovation, and platform modernization.