Job Overview

Join the infrastructure engineering team responsible for building, scaling, and operating eBay s core messaging and real-time streaming platforms. Our infrastructure powers mission-critical, high-throughput applications across eBays global ecosystem. In this role, you will act as a core developer and architect, taking full ownership of both the control plane and data plane for our distributed streaming platforms-including Apache Flink and Apache Kafka-deployed across multiple private cloud Kubernetes clusters spanning various Availability Zones (AZs) and Data Centers (DCs). You will also play a key role in designing and evolving our next-generation streaming lakehouse storage systems.

What You Will Accomplish

- Architect & Scale Infrastructure: Design, build, and operate eBay s core control plane and data plane for Apache Flink and Apache Kafka on multi-cluster Kubernetes environments across multiple DCs/AZs.
- Build Streaming Lakehouses: Lead the design and development of our real-time streaming lakehouse storage architecture, enabling low-latency analytical workloads at massive scale.
- Ensure Operational Excellence: Drive high availability, automated fault recovery, and zero-downtime operations for large-scale production streaming topologies.
- Enhance System Observability: Advance enterprise monitoring, distributed tracing, automated alerting, and failure-diagnosis tooling to maximize platform uptime.
- Collaborate Globally: Partner with cross-functional architecture and platform teams worldwide to shape the future of eBays real-time data ecosystem.
- Demonstrated proficiency building production-grade software with AI coding agents, improving engineering velocity while maintaining high standards for quality, availability, and maintainability.
- Ability to decompose problems and provide agents with the right context, specifications,



constraints, and validation criteria.
- Ability to capture and express business, architecture, codebase, and operational knowledge so AI coding agents can execute complex tasks accurately and autonomously.
- Hands-on experience delivering complex, production-quality software using AI coding tools such as Claude Code, Codex, etc.

What You Will Bring

- Core Distributed Systems Experience: Deep hands-on background in computer science fundamentals (data structures, concurrency, OS internals, and networking) with strong expertise in Java, Rust, or C++.
- Stream Processing Engine Expertise: Strong hands-on experience developing, tuning, and operating Apache Flink at scale (e.g., state backend management, checkpointing tuning, custom operators, Flink Kubernetes Operator).
- Distributed Messaging Deep-Dive: Proven experience with Apache Kafka (or Pulsar/RocketMQ), including core broker architecture, partition strategy, and control/data plane management.
- Container & Multi-Cluster Orchestration: Solid experience running high-throughput stateful workloads on Kubernetes across hybrid or private cloud environments.
- Streaming Lakehouse Knowledge: Familiarity with contemporary streaming table formats and storage engines such as Apache Paimon, Apache Iceberg, or Apache Fluss.

Nice to Have

- Direct experience writing custom Kubernetes operators or control planes for distributed data systems.
- Deep knowledge of embedded storage engines (RocksDB, LevelDB) and memory management.
- Active contributions to open-source projects in the streaming ecosystem (e.g., Apache Flink, Apache Kafka, Apache Paimon).

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Staff Streaming/Messaging Infra Engineer (Bengaluru)
🏢 The Networker
📍 Bengaluru