Senior Data Streaming Engineer - Remote

Camunda; Atlanta (GA); Remote; USD 144,000 - 232,000; Full time

Benefits offered by this job

Remote & Flexible work

Annual global team events

Health & Wellbeing programs

Financial security & equity

Professional growth budget

Job summary

Camunda is building a new Data Streaming team to create a durable, continuously-written streaming layer that decouples data access from the live engine. You’ll join a small, high-ownership group shaping architecture and analytics products from day one, with room to influence scope as the team matures.

You’ll partner with Product, Data Layer and Distributed Systems teams, QA, and Support to deliver streaming capabilities, ensure durability, and provide insights into data usage across Camunda’s

Qualifications

• 7+ years of experience as a backend engineer, in Java, with a strong focus on distributed or data-intensive systems.
• Hands-on experience with object storage systems (S3/GCS/Azure or similar) and building reliable, idempotent upload/commit protocols against them.
• Experience with Kafka or a similar streaming/event-log system.
• Solid grounding in distributed systems fundamentals, even without core execution-engine experience specifically.
• Proven experience leading medium-to-large engineering initiatives end-to-end (3+ months).
• Strong communication and collaboration skills in a remote-first environment.

Responsibilities

• Design and build the core streaming infrastructure that decouples process data access from the live execution engine, backed by durable, low-cost storage.
• Build customer-facing data streaming capabilities, including a supported way to integrate with systems like Kafka, so customers can reliably get their process data into their own tools.
• Help rebuild how Camunda's analytics product consumes and serves process data at scale, moving it off the engine's critical path entirely.
• Make foundational architecture decisions as part of a small, high-ownership team, including how the system guarantees consistency and durability across a distributed streaming pipeline.
• Participate in L3 support and on-call rotations, partnering with Support and SRE to investigate data layer production issues, and feeding what you learn back into the product.

Tools

Apache Iceberg

Parquet

RocksDB

Job description

Camunda is building a new Data Streaming team to create a durable, continuously-written streaming layer that decouples data access from the live engine. You’ll join a small, high-ownership group shaping architecture and analytics products from day one, with room to influence scope as the team matures.

You’ll partner with Product, Data Layer and Distributed Systems teams, QA, and Support to deliver streaming capabilities, ensure durability, and provide insights into data usage across Camunda’s