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Uber - Senior Software Engineer - Kafka

Uber - Senior Software Engineer - Kafka

UberBangalore
13 days ago
Job description

About The Role :

Uber is currently seeking talented developers with deep expertise and passion for developing large-scale streaming platforms.

The Kafka team, a crucial part of Uber's Data Infrastructure organization, is responsible for building and maintaining a messaging service that is highly available, durable, and provides end-to-end latency multi-trillion messages per day across tens of thousands of topicsand rapidly growingUber operates one of the largest Kafka ecosystems in the world.

At Uber, real-time platforms drive real-time business decisions, and Kafka serves as the backbone of Uber's real-time data analytics infrastructure.

Our mission is to architect, develop, and deploy world-class big data systems that empower every tier of our fast-growing organization.

In this role, you will have the unique opportunity to work directly on the Kafka open-source codebase and scale Ubers Kafka service for enhanced operability, efficiency, and security, impacting millions of users and internal systems globally.

What You Will Do :

  • Develop and enhance core Kafka components to improve scalability, reliability, and security of Ubers Kafka infrastructure.
  • Design and implement new Kafka features and extensions to meet the evolving needs of internal users and external contributors.
  • Build and maintain services and tooling around the Kafka ecosystem, including Kafka Connect, Kafka Streams, and Schema Registry integrations.
  • Manage Kafka cluster deployments at scale, including provisioning, monitoring, troubleshooting, and capacity planning.
  • Collaborate with cross-functional teams including SRE, Data Engineering, and Product Management to ensure Kafka services align with business requirements.
  • Conduct performance tuning and optimization of Kafka brokers and client applications to maintain low latency and high throughput.
  • Investigate, diagnose, and resolve production issues and outages with a focus on root cause analysis and sustainable fixes.
  • Contribute to Ubers open-source Kafka ecosystem, potentially driving innovations upstream to the wider Kafka community.
  • Mentor junior engineers and foster a culture of excellence, innovation, and continuous improvement within the team.

Basic Qualifications :

  • Bachelors degree or higher in Computer Science, Engineering, or a related technical field.
  • 7+ years of professional experience building large-scale distributed software systems.
  • Strong proficiency in Java, with hands-on experience in backend and systems software development.
  • Deep understanding of distributed systems principles such as replication, consensus, partitioning, and fault tolerance.
  • Experience working with Apache Kafka, including broker architecture, client APIs, and ecosystem tools.
  • Familiarity with Linux systems administration and managing production-grade distributed services.
  • Proven ability to write clean, maintainable, and testable code in a collaborative environment.
  • Solid grasp of performance tuning and resource optimization in high-throughput systems.

    • Preferred Qualifications :

  • Advanced degree (MS or PhD) in Computer Science or related technical discipline.
  • Experience contributing to open-source Kafka projects or similar streaming platforms.
  • Expertise in Kafka ecosystem tools such as Kafka Connect, Kafka Streams, Kafka Schema Registry.
  • Proficient with infrastructure-as-code tools and cloud environments (e.g., Kubernetes, AWS, GCP).
  • Familiarity with containerization and orchestration technologies such as Docker and Kubernetes.
  • Knowledge of monitoring, logging, and alerting frameworks (Prometheus, Grafana, ELK Stack).
  • Experience with security best practices in distributed messaging systems, including encryption,

    • authentication (Kerberos, TLS), and authorization.

  • Strong scripting skills (Python, Bash, or similar) for automation and tooling.
  • Ability to troubleshoot complex production issues in real-time.
  • Excellent communication and collaboration skills, with experience working in a highly cross-functional and

    • fast-paced environment.

    If youre excited to shape the future of Ubers real-time data infrastructure and work on one of the largest Kafka deployments globally, wed love to hear from you.

    (ref : hirist.tech)

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