Senior Software Engineer, Data Streaming Systems

Responsibilities

• Design & Build Real-Time Streaming Applications
• Develop high-throughput, low-latency streaming applications using Java and Kafka.
• Design event-driven microservices that process, enrich, and route real-time data at scale.
• Architect Scalable Distributed Systems
• Design and optimize Kafka topics, partitions, consumer groups, and event schemas.
• Build horizontally scalable services deployed on Kubernetes.
• Production Reliability & Performance
• Optimize performance for throughput, latency, and resource efficiency.
• Implement observability using metrics, logging, and distributed tracing.
• Cloud-Native & Kubernetes Engineering
• Deploy and manage containerized services in Kubernetes environments in GCP or similar cloud environments.

• 5-8 years of experience
• strong foundation in distributed systems engineering and event-driven architecture
• proven track record of building and operating large-scale data streaming systems in production
• excellent problem-solving and collaboration skills
• self-motivated and committed to engineering excellence.
• advanced proficiency in Java, including concurrency, multithreading, and JVM performance tuning
• strong experience with reactive frameworks such as Spring Web Flux, Project Reactor, or similar.
• extensive experience with Apache Kafka (producers, consumers, streams, schema registry)
• strong understanding of partitioning strategies, offset management, rebalancing, and failure recovery.
• hands-on experience deploying and operating applications in Kubernetes.
• experience with containerization (Docker) and microservices architecture.
• knowledge of autoscaling, rolling deployments, and production reliability patterns.

• Java
• Kafka
• Kubernetes
• Docker
• event-driven architecture
• distributed systems engineering
• Spring Web Flux
• Project Reactor
• performance tuning
• microservices architecture

• problem-solving
• collaboration
• self-motivated
• engineering excellence