The engineer will work closely with product, frontend, QA, DevOps, and other engineering stakeholders to deliver roadmap items and support ongoing platform needs. This role requires strong backend development experience, problem-solving ability, ownership mindset, and the ability to independently deliver medium-to-large technical initiatives.
The position is required to improve backend execution capacity and support faster, more predictable delivery of business-critical features.
Responsibilities:
System Design & Development: Architect and implement clean, modular, and scalable backend services using Java, Spring Boot, and modern microservice principles.
Database Management: Design efficient database schemas and write optimized queries for RDS (MySQL/PostgreSQL) and, optionally, NoSQL databases like Elasticsearch, MongoDB, or DynamoDB.
Messaging & Event-Driven Systems: Integrate Kafka or RabbitMQ to build robust and loosely-coupled event-driven architectures.
Caching Strategies: Leverage Redis or Memcached to implement high-performance caching strategies for scalable and low-latency systems.
Distributed Systems: Contribute to the design of distributed, resilient systems that can handle high throughput and concurrency.
Performance Optimization: Profile and tune backend performance across databases, APIs, and infrastructure.
Testing & Code Quality: Write clean, maintainable code with comprehensive unit and integration tests to ensure reliability and stability.
Startup Environment: Thrive in an agile, collaborative environment and take ownership of end-to-end feature delivery.
Requirements:
2-4 years of hands-on backend development experience in a product-based company (preferably SaaS).
Strong expertise in Java and Spring Boot ecosystem.
Solid understanding of Relational Databases (RDS, MySQL, PostgreSQL).
Experience with Apache Kafka or RabbitMQ for building asynchronous, decoupled systems.
Proficiency with Redis or Memcached for performance tuning and data caching.
Strong problem-solving skills and ability to work independently in a fast-paced, startup-like environment.
Passion for writing clean, readable, and efficient code with strong testing discipline
Hands-on experience with RESTful API design, microservices architecture, and integration of third-party services.
Strong cross-team collaboration skills, with the ability to work effectively with product, frontend, QA, and DevOps teams to deliver reliable features end to end.
Additional Skills:
- Prior experience working in a high-growth startup for 2+ years.
- Exposure to AI/ML-integrated solutions or interest in working alongside data science teams.
- Experience with infrastructure automation, monitoring tools, or observability stacks.
- Familiarity with NoSQL systems like Elasticsearch, MongoDB, or DynamoDB.
- Knowledge of CI/CD pipelines, Git, and modern development practices.
- Hands-on experience in containerization technologies: Docker, Kubernetes, or AWS ECS/GKE.
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