Stream Processing Engineer (Apache Flink Internals) – Remote

About the role

We are looking for a senior Stream Processing Engineer to work on the core of Apache Flink. The role focuses on developing and optimizing Flink’s runtime, scheduler, state backend and related components at petabyte scale.

Key responsibilities

• Contribute production‑grade code to the Apache Flink open‑source project.
• Debug, profile and optimise Flink internals such as runtime, scheduler, state backend, checkpointing and back‑pressure handling.
• Improve performance and scalability of stateful stream processing in large‑scale production environments.
• Profile and tune JVM behaviour (garbage collection, memory layout, concurrency) at the engine level.
• Collaborate with cross‑functional engineering teams and open‑source committers on integrations and ecosystem work.
• Mentor senior engineers and raise the engineering bar through code reviews and design critiques.

Required profile

• 6+ years of professional software development experience.
• Strong proficiency in Java.
• Solid understanding of distributed systems and concurrent/parallel programming.
• Working knowledge of stream‑processing concepts such as stateful processing, event‑time semantics, checkpointing and back‑pressure handling.
• Familiarity with JVM performance characteristics (GC, memory, threading).
• Advanced level of English.

Required skills

• Java
• Apache Flink (runtime, scheduler, state backend)
• Kafka
• Iceberg
• Hadoop
• Kubernetes
• Spark Streaming
• Kafka Streams
• Apache Beam
• JVM performance tuning

What we offer

• Fully remote work.
• Competitive compensation in USD or local currency.
• Hardware and software setup for home office.
• Flexible working hours.
• Paid parental leave, vacation and national holidays.
• Innovative, multicultural environment.