Software Engineer II (JVM)

📋 Description

• Core framework features, designed and shipped by you. Schema evolution, pagination, rate limiting
• The streaming and processing path in production. Kafka, Spark, and Flink workloads, checkpointing
• Design decisions inside your scope, and a real voice in the ones above it. Multi-tenancy
• The hard debugging. Trace failures across Kafka clusters, distributed runtimes, and flaky

🎯 Requirements

• 5 to 8 years of software engineering, with some of it on backend platforms, services, or SDKs
• Strong Java. You understand JVM memory management, concurrency models, and non-blocking I/O, and
• Hands-on experience with distributed systems in production: Kafka, Spark, Flink, or similar. You
• Comfort with the modern data stack and the protocols around it: Snowflake, Databricks, gRPC
• You have owned production systems and know what good operational discipline looks like.
• You use AI tools in your actual work and can say specifically where they help and where they

🎁 Benefits

• Contributions to open-source data projects such as Airbyte, Flink, Debezium, or Arrow.
• Time at an iPaaS or ELT company: MuleSoft, Fivetran, Informatica, Airbyte, or similar.
• Deep Kubernetes and cloud-native experience, including Strimzi for Kafka.
• Security architecture: OAuth 2.0, mTLS, and encrypted credential management at scale.