Lead Software Engineer

4 weeks ago


bangalore, India CareerXperts Consulting Full time
We are searching for a talented Lead Backend Engineer to join our growing team. You will play a key role in designing, developing, and maintaining large-scale, mission-critical backend systems. You will be responsible for leading a team of engineers and ensuring the quality, efficiency, and scalability of our backend infrastructure, with a particular focus on distributed systems and real-time data processing.
Responsibilities
Lead the design, development, and implementation of complex backend systems using Java.
Architect and implement microservices using distributed systems principles, including strong expertise in consistency models, fault tolerance, and leader election mechanisms.
Leverage Kafka Streams to build robust and scalable data pipelines for real-time data ingestion, processing, and integration with other systems.
Deep dive into Kafka internals, including topics, partitions, replicas, consumer groups, and offsets. You'll be responsible for configuring Kafka for optimal performance and ensuring message durability.
Monitor and troubleshoot Kafka clusters, identifying and resolving performance bottlenecks and ensuring high availability.
Integrate Kafka with other distributed systems and data stores for a comprehensive data processing ecosystem.
Collaborate with DevOps teams to automate Kafka deployments and configuration management.
Ensure code quality and maintainability through code reviews, best practices, and adherence to design patterns for distributed systems.
Mentor and guide junior engineers on Kafka, distributed systems principles, and best practices.
Stay up-to-date on the latest advancements in Kafka, distributed systems technologies, and cloud-native development trends.
Qualifications
9+ years of experience in backend development with Java.
Proven experience in designing, developing, and deploying microservices architectures.
In-depth understanding of distributed systems concepts, including consensus algorithms, distributed transactions, and distributed locking mechanisms.
Extensive experience with Apache Kafka, including strong knowledge of its architecture, configuration, and operational best practices.
Experience with building and maintaining real-time data pipelines using Kafka Streams.
Familiarity with AWS and their managed Kafka services (a plus).
Excellent written and verbal communication skills.
Strong leadership and mentoring skills.

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