Senior Software Engineer – Java

Overview

We're looking for a Senior Software Engineer to design and build scalable, distributed systems using modern Java technologies. You'll be a key contributor shaping our platform architecture, mentoring teammates, and driving technical excellence across the engineering organization.

Roles & Responsibilities:

• Architect & Build: Design and develop high-performance applications using Core Java (17+), Spring Boot, and Quarkus with a focus on microservices and distributed architectures.
• Data Management: Implement and optimize data solutions using SQL databases (PostgreSQL, MySQL), ensuring high availability and data integrity.
• Performance Optimization: Design and integrate caching and queuing solutions using Redis to achieve high throughput and responsiveness at scale.
• Cloud & Infrastructure: Deploy and manage containerized applications using Docker and Kubernetes.
• Quality & Best Practices: Champion engineering excellence through comprehensive testing (unit, integration, performance), thorough code reviews, and clear technical documentation.
• Collaboration & Leadership: Partner with product, QA, and operations teams to deliver impactful solutions while mentoring junior engineers and fostering a culture of continuous learning.
  
  

• 5+ years of professional Java development experience building production-grade distributed systems
• Deep expertise in Spring ecosystem (Spring Boot, Spring Cloud, Spring Data) or Quarkus
• Strong foundation in data structures, algorithms, and system design principles
• Hands-on experience with relational databases (PostgreSQL or MySQL) and query optimization
• Experience with queuing services and asynchronous messaging patterns
• Working knowledge of containerization (Docker) and orchestration (Kubernetes)
• Proficiency with Git, Maven/Gradle, and CI/CD practices
• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
  
  

• Experience with Java 17+ features (records, sealed classes, pattern matching)
• Experience with distributed caching solutions (e.g., Redis)
• Exposure to cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code tools