High Water Mark Jobs

Explore jobs tagged with high-water-mark to find engineering opportunities focused on stream processing, offset management, checkpointing, replication lag mitigation, and backpressure handling in distributed systems. This list of jobs (filtered by the tags pillar) surfaces roles for SREs, streaming engineers, data engineers, and backend developers working with Kafka, Kinesis, Pulsar, Flink, and database replication systems; use filters for experience level, tech stack, and remote/on-site to quickly find positions matching your expertise. Learn how employers apply the high-water-mark tag to signal requirements around checkpointing, monotonic offsets, leader-follower replication, and throughput optimization, with actionable tips on highlighting relevant experience and sample interview topics. Browse, save, and apply to jobs now to connect with teams building resilient streaming data pipelines and distributed systems.