Stream Processing Engineer (Apache Flink Internals) - Remote Work | REF#294352

At BairesDev®, we've been leading the way in technology projects for over 15 years. We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley. Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide. When you apply for this position, you're taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success. Stream Processing Engineer (Apache Flink Internals) at BairesDev We are seeking a Stream Processing Engineer with experience in Apache Flink internals to work on the engine itself, not jobs that run on top of it. The work covers Flink runtime, scheduler, state backend, checkpointing infrastructure, and SQL/Table API at petabyte scale. The technology stack centers on the open source Apache Flink project and the wider streaming ecosystem (Kafka, Iceberg, Hadoop), with ample scope for upstream contribution. We're looking for engineers who have worked on engine-level code in Flink or comparable distributed streaming systems and are comfortable with stateful processing, event-time semantics, and fault-tolerant execution.

What You'll Do

• Contribute production-grade code to the Apache Flink project.
• Debug and optimize Flink internals — runtime, scheduler, state backend, checkpointing, backpressure — at petabyte scale.
• Improve performance and scalability of stateful stream processing in production environments.
• Profile and tune JVM behavior (GC, 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.

What We Are Looking For

• 6+ years of experience in software development.
• Strong Java skills.
• Experience with distributed systems and concurrent or parallel programming.
• Working knowledge of stream processing concepts: stateful processing, event-time semantics, checkpointing, or backpressure handling.
• Familiarity with JVM performance characteristics (GC, memory, threading).
• Advanced level of English.

Nice To Have

• Upstream contributions to Apache Flink (merged PRs in runtime, scheduler, state backend, or connectors); committer status is a strong plus.
• Experience operating Flink at petabyte scale in production.
• Exposure to the lakehouse ecosystem (Iceberg, Hive, Kafka, Hadoop).
• Kubernetes-native deployment experience.
• Experience with adjacent streaming frameworks (Spark Streaming, Kafka Streams, Apache Beam).

How we do make your work (and your life) easier:

• Remote Work.
• Excellent compensation in USD or your local currency if preferred.
• Hardware and software setup for you to work from home.
• Flexible hours: create your own schedule.
• Paid parental leaves, vacations, and national holidays.
• Innovative and multicultural work environment: collaborate and learn from the global Top 1% of talent.
• Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities.

Join a global team where your unique talents can truly thrive and make a significant impact! Apply now! #BD-PRIO-2026 Apply To This Job