What is this position about?

• Design and build scalable backend systems using Java, with deep expertise in production-grade application development.
• Lead the architecture and implementation of distributed systems, ensuring reliability, scalability, and performance across complex multi-service environments handling large-scale data processing.
• Develop and optimize concurrent and multi-threaded applications, implementing thread synchronization patterns, locks, barriers, and atomic operations for high-performance, data-intensive systems.
• Build and maintain big data pipelines and infrastructure to handle high-volume data ingestion, processing, and storage at scale.
• Manage containerized workloads using Kubernetes, defining deployment strategies, scaling policies, and resource management for backend services processing big data workloads.
• Collaborate with cross-functional teams to define service contracts, APIs, and integration patterns.
• Implement observability and monitoring solutions to ensure system health and performance visibility.
• Support production deployments, troubleshoot complex issues, and drive continuous improvement initiatives.

• Deep proficiency in Java with strong understanding of advanced language features and best practices.
• Solid expertise in concurrency patterns, multi-threading, thread synchronization (locks, barriers, mutexes), atomic operations, and volatile semantics.
• Proven hands-on experience designing and implementing distributed systems, including challenges like consistency, fault tolerance, and data replication.
• Practical knowledge of Kubernetes for container orchestration, deployment strategies, and service management (production-level exposure expected).
• Strong SQL and database design fundamentals.
• Experience with system profiling, performance analysis, and optimization techniques.
• Familiarity with monitoring and observability tools such as Grafana, Prometheus, or Loki.
• Excellent problem-solving skills and ability to debug complex, distributed system issues.
• Strong communication skills and ability to mentor and collaborate with team members.
• Experience with Spring Framework or other modern Java backend frameworks is a plus.
• Background in Kafka or event-streaming architectures is a plus.
• Familiarity with reactive programming frameworks or reactive systems design is a plus.
• Prior experience in programmatic advertising or real-time data processing systems is a plus.