Backend Developer

Responsibilities:

• Design and implement distributed, fault-tolerant streaming pipelines using Kafka, Apache Flink, and MQTT.
• Build event-driven microservices for real-time data processing and analytics.
• Optimise streaming applications for performance, throughput, and latency.
• Deploy and manage containerised applications on Kubernetes clusters.
• Implement monitoring, alerting, and auto-scaling strategies for streaming workloads.
• Troubleshoot production issues and ensure system reliability.
• Collaborate with cross-functional teams and mentor junior developers.

Requirements:

• 3+ years in backend development with 2+ years in real-time streaming systems.
• Proven track record of building production systems handling and gt 100K messages/second.
• Data Structures and Algorithms: Extremely strong foundation in data structures and algorithms with the ability to design optimal solutions for complex problems.
• Programming: Strong proficiency in Python and Golang, with deep understanding of concurrent and async programming.
• Streaming Systems: Expert-level proficiency with Apache Kafka (including Kafka Streams), hands-on experience with Apache Flink, and working knowledge of the MQTT protocol.
• Containerization: Proficiency with Docker and Kubernetes, including deployment and orchestration of distributed applications.
• Distributed Systems: Solid understanding of distributed systems concepts, event- driven architecture, and streaming design patterns.
• Databases: Experience with time-series databases and NoSQL stores (Cassandra, MongoDB).

Preferred Skillset:

• Experience with ELK Stack (Elasticsearch, Logstash, Kibana) for log aggregation and analytics.
• Cloud platform experience (AWS, GCP, or Azure).
• Knowledge of Apache Beam or similar unified processing frameworks.
• Experience with ML/AI integration in streaming pipelines.
• Open-source contributions to streaming projects.