Java Developer with AI

ZapCom; Bengaluru; Hybrid; INR 1,400,000 - 2,000,000; Full time

Job summary

ZapCom Bengaluru invites a Senior Software Engineer - Java and Forward Deployed Engineer (FDE) with 4–8 years of experience to design, develop, and deploy enterprise-grade Java applications, partnering directly with customers and product owners to translate complex problems into scalable technical solutions.

You will work with Java 8+/11/17, Spring Boot, microservices, cloud-native patterns, REST/SOAP integrations, and AI-assisted development tools to accelerate delivery while upholding quality,

Qualifications

• >4–8 years of experience in enterprise Java software development.
• >Experience partnering with customers and product owners to translate business problems into technical solutions.
• >Strong knowledge of Spring Boot, microservices, and REST/SOAP integrations.
• >Familiarity with cloud-native development and CI/CD practices.
• >Ability to design, deploy, and maintain scalable Java applications.

Responsibilities

• >Design, develop, and maintain scalable Java-based enterprise applications using Java 8+ and microservices.
• >Collaborate with customers and stakeholders to understand requirements and translate them into technical solutions.
• >Develop and integrate RESTful and SOAP APIs with enterprise systems.
• >Deploy and manage containerized apps on Docker and Kubernetes.
• >Build CI/CD pipelines and ensure production readiness.

Skills

Java 8/11/17

Spring Boot

Microservices

REST APIs

SOAP APIs

SQL

Docker

Kubernetes

Jenkins

Git

CI/CD Pipelines

AWS

Azure

Maven

Gradle

OpenAI-powered dev tools

GitHub Copilot

Cursor AI

Cloud-native development

Agile

Scrum

Tools

Docker

Kubernetes

Jenkins

Git

GitHub Copilot

OpenAI Developer Tools

Job description

Senior Software Engineer Java | Forward Deployed Engineer (FDE)

Experience: 4–8 Years

Professional Summary

Forward Deployed Engineer (FDE) and Senior Software Engineer with 4–8 years of experience designing, developing, and deploying enterprise-grade Java applications. Experienced in partnering directly with customers, product owners, and cross-functional teams to rapidly understand business problems, architect scalable solutions, and deliver production-ready software. Strong expertise in Java 8+, Spring Boot, Microservices, REST/SOAP integrations, cloud-native development, and AI-assisted engineering workflows. Adept at leveraging modern developer tools to accelerate solution delivery, automate development workflows, and improve engineering productivity while maintaining high standards of code quality, security, and reliability.

Technical Skills

Programming Languages

• Java 8/11/17
• SQL

Frameworks & Backend

• Spring Boot
• Spring MVC
• Spring Cloud
• Hibernate / JPA
• Microservices
• RESTful APIs
• SOAP Web Services

Databases

• Oracle
• PostgreSQL
• MySQL
• MongoDB

Cloud & DevOps

• AWS / Azure
• Docker
• Kubernetes
• Jenkins
• CI/CD Pipelines

AI-Accelerated Engineering

• AI-assisted software development
• GitHub Copilot
• Cursor AI
• Windsurf
• Claude Code
• OpenAI-powered developer workflows
• Prompt engineering for software development
• AI-assisted debugging, refactoring, testing, and documentation
• Rapid prototyping using AI development tools

Build & Version Control

• Maven
• Gradle
• Git

API & Testing

• Postman
• SOAP UI

Methodologies

• Agile
• Scrum

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Professional Experience

Senior Software Engineer – Java | Forward Deployed Engineer

Key Responsibilities

• Design, develop, and maintain scalable Java-based enterprise applications using Java 8+, Spring Boot, and Microservices architecture.
• Partner directly with customers and business stakeholders to understand complex business problems and translate them into scalable technical solutions.
• Build and integrate RESTful and SOAP APIs with enterprise applications and third-party platforms.
• Design cloud-native applications with a focus on scalability, resilience, observability, and maintainability.
• Develop backend services using Spring Boot, Spring Cloud, Hibernate, and JPA.
• Leverage AI-assisted engineering tools to accelerate development, code generation, debugging, testing, documentation, and modernization activities.
• Rapidly prototype new features and proof-of-concepts to validate technical feasibility and business value.
• Collaborate with architects, product managers, QA engineers, DevOps teams, and customer stakeholders throughout the software delivery lifecycle.
• Optimize application performance, reliability, scalability, and security using industry best practices.
• Perform code reviews and ensure adherence to clean code principles, design patterns, and coding standards.
• Build and maintain CI/CD pipelines to automate software delivery.
• Deploy and manage containerized applications using Docker and Kubernetes.
• Troubleshoot production issues, perform root cause analysis, and implement sustainable solutions.
• Participate in Agile ceremonies and contribute to continuous improvement initiatives.
• Mentor junior engineers and promote engineering best practices across teams.

Forward Deployed Engineer Competencies

• Customer-facing Solution Engineering
• Technical Discovery Workshops
• Enterprise Solution Architecture
• Rapid Prototyping
• AI-enabled Software Engineering
• API-first Integration
• Cloud-native Development
• System Integration
• Production Readiness
• Technical Consulting
• Cross-functional Collaboration
• Design Thinking
• Requirements Discovery
• Performance Engineering
• Production Support & Incident Resolution
• Stakeholder Management
• Continuous Delivery
• Engineering Productivity
• Technical Leadership

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Key Skills

• Java 8/11/17
• Spring Boot
• Spring Cloud
• Hibernate/JPA
• Microservices
• REST APIs
• SOAP APIs
• SQL
• Oracle
• PostgreSQL
• AWS
• Azure
• Docker
• Kubernetes
• Jenkins
• Maven
• Gradle
• Git
• GitHub Copilot
• Cursor AI
• Windsurf
• Claude Code
• OpenAI Developer Tools
• AI-assisted Development
• Prompt Engineering
• DevOps
• Agile
• Scrum

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Preferred Experience

• Experience delivering enterprise software in customer-facing environments.
• Experience building cloud-native distributed systems.
• Strong understanding of software architecture and system integration.
• Experience using AI-powered development tools to accelerate engineering workflows.
• Strong analytical, communication, and stakeholder management skills.
• Ability to quickly learn new technologies and solve customer problems in fast-pacedRole & responsibilities

Preferred candidate profile