Java Backend Engineer

Job Summary

We are looking for an experienced Java Backend Developer with strong expertise in building large-scale, distributed backend systems that process and manage high volumes of jobs. The ideal candidate will have hands-on experience designing long-running asynchronous jobs, managing large queues, implementing Dead Letter Queue (DLQ) handling, and building scalable, reliable solutions on AWS.

Key Responsibilities

• Design, develop, and maintain scalable backend services and distributed job-processing systems using Java.
• Build systems capable of handling large volumes of jobs, including long-running and resource-intensive tasks.
• Design and manage large job queues, ensuring reliable job scheduling, execution, retry, and recovery.
• Implement and maintain Dead Letter Queues (DLQs) to handle failed jobs, retries, error tracking, and message recovery.
• Develop mechanisms to copy, replicate, enqueue, and process large numbers of jobs efficiently.
• Optimize job-processing workflows for throughput, latency, scalability, and fault tolerance.
• Build asynchronous processing architectures using AWS services and messaging technologies.
• Implement monitoring, logging, alerting, and troubleshooting for job queues and backend services.
• Ensure data consistency, idempotency, and reliable processing across distributed systems.
• Collaborate with engineering and infrastructure teams to design robust backend architectures.

Required Skills

• Strong hands-on experience with Java backend development.
• Experience building large-scale, distributed backend applications.
• Strong understanding of asynchronous processing, background jobs, and long-running tasks.
• Experience managing large queues and high-volume job processing.
• Hands-on experience with Dead Letter Queues (DLQs), retry mechanisms, and failure recovery.
• Experience with AWS services for backend processing and queue management.
• Knowledge of concurrency, multithreading, fault tolerance, and distributed system design.
• Strong debugging, performance tuning, and problem-solving skills.

Preferred Skills

• Experience with AWS SQS, SNS, Lambda, ECS, or other relevant AWS services.
• Experience with message brokers such as Kafka or RabbitMQ.
• Experience implementing bulk job creation, copying, replaying, or reprocessing workflows.
• Familiarity with queue monitoring, back-pressure, rate limiting, and workload management.
• Experience with observability tools, metrics, logging, and distributed tracing.
• Knowledge of database optimization and transaction management in high-throughput systems.