Camunda Senior Software Engineer, Backend - Data Streaming at Camunda building new architecture for scalable process data streaming. Responsible for designing core streaming infrastructure and customer-facing data streaming capabilities.
Responsibilities
As a Senior Software Engineer on Camunda's new Data Streaming team, you'll help build a foundational new piece of architecture that changes how customers and internal products access process data. Today, customers have no first-class way to stream their own process data out of Camunda, and Camunda's own analytics product is bottlenecked by querying the same storage the live engine depends on. You'll be part of a greenfield team rebuilding how process data is consumed and served at scale, built on top of a durable, continuously-written streaming layer that decouples data consumption from the live engine. You'll be part of a small team from day one, with real room to shape both the architecture and the team's scope as it matures.
At Camunda, we approach engineering in a holistic manner. As such, you will form strong partnerships with product management, the Data Layer and Distributed Systems teams, QA, and support, and work closely with your peers to not only deliver but directly influence how our data streaming architecture evolves to meet our customers' needs.
Help rebuild how Camunda's analytics product consumes and serves process data at scale, moving it off the engine's critical path entirely.
Design and build the core streaming infrastructure that decouples process data access from the live execution engine, backed by durable, object 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.
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.
What You Will Bring to the Role:
Qualification
This role is an existing vacancy#LI-SK1 #LI-Remote #C1What We Have to Offer
Required
7+ years of experience as a backend engineer, in Java, with a strong focus on distributed or data-intensive systems.
Hands-on experience building or operating an analytical serving layer over a table format such as Apache Iceberg or Delta Lake - including experience with an embedded/lightweight query engine (e.g. DuckDB, or similar), or a stateful stream-processing framework (e.g. Flink, Kafka Streams).
A track record of working with object storage systems (S3/GCS/Azure or similar) and building reliable, idempotent upload/commit protocols against them.
Solid grounding in the reasoning behind correctness and consistency in data-intensive systems (e.g. concurrent writes, atomicity, idempotency).
A demonstrated track record of driving a technical initiative through genuine ambiguity in a still-being-designed system, not just extending an established one.
Proven experience leading medium-to-large engineering initiatives (3+ months) end-to-end, from solution design, project planning, and coordinating across teams, right through to driving predictable delivery.
Strong communication and collaboration skills in a remote-first environment: you translate requirements into actionable technical work with Product, and give and receive clear, direct feedback in code review.
Preferred
Experience with Kafka or a similar streaming/event-log system
Experience with embedded state stores (RocksDB or similar) for projection/checkpointing workloads.
Experience with stream processing frameworks (e.g. Apache Flink), particularly stateful processing with local state backends and checkpointing.
Familiarity with object-storage-native streaming architectures (e.g. systems like WarpStream) is a plus, even without direct hands-on experience.
