Overview

Full-Stack Software Engineer (Java / Spring Boot + React)

Responsibilities

• Translate business requirements into technical designs covering data models, API contracts, workflow
• Proactively identify gaps, contradictions, edge cases, and potential failure scenarios before
• Contribute to architectural decisions involving database/schema design, service boundaries, caching,
• Build features end to end, including PostgreSQL schemas and migrations, Spring Boot services, REST
• Implement audit trails, immutable transaction histories, and reporting capabilities for workflows
• Design and integrate third-party services such as payment gateways, logistics/courier APIs, email, SMS,
• Review peer pull requests with a focus on correctness, security, performance, maintainability, and
• Write comprehensive unit and integration tests, covering business rules, edge cases, failure scenarios, and
• Follow disciplined engineering practices around coding standards, Git workflows, branching, pull
• Deploy, monitor, troubleshoot, and support the systems you build in production.
• Participate in incident response, debugging, root-cause analysis, and preventive improvements.
• Contribute to CI/CD pipelines, environment configuration, deployment automation, and release-
• Work directly with non-technical stakeholders to clarify requirements and communicate technical

Qualifications

• 3+ years of experience building and shipping production-grade web applications as a full-stack engineer.
• Strong hands-on experience with Java 17/21, Spring Boot, Spring Data JPA, PostgreSQL, and MySQL.
• Strong understanding of REST API design, including:
• API versioning
• Pagination
• Request validation
• Error handling and error contracts
• API documentation
• Good experience with React, JavaScript/TypeScript, HTML, and CSS, including:
• Component-based development
• State management
• Forms
• Protected routes
• API integration
• Responsive interfaces
• Strong understanding of Git and collaborative development practices, including branching, pull requests,
• Hands-on experience with Docker.
• Comfortable deploying, monitoring, debugging, and troubleshooting applications on AWS or GCP.
• Building multi-tenant SaaS applications, including tenant isolation and data-access controls.
• Event-driven architecture , Kafka, message queues, and asynchronous processing.
• Integrating payment gateways, logistics platforms, courier services, or other third-party APIs.
• Building reporting, analytics, or data-intensive dashboards. - Integrating LLM/AI-powered capabilities into production applications.
• Take ownership rather than waiting for detailed instructions.
• Think about the business problem, not just the technical implementation.
• Ask questions when requirements are unclear.
• Identify edge cases before they become production issues.
• Care about data correctness and system reliability.
• Can make pragmatic technical decisions and explain their trade-offs.
• Write maintainable code that other engineers can understand and extend.
• Are comfortable working across the frontend, backend, database, and infrastructure.