Senior Software Engineer, Backend - Data Streaming

Camunda·RemoteRemotosenior

En corto

→Construir una arquitectura de streaming de datos para procesos empresariales a escala.
→Desacoplar el acceso a datos del motor en tiempo real, usando almacenamiento objeto y sistemas como Kafka.
→Parte de un equipo pequeño desde cero, con alta autonomía en decisiones técnicas.

Fluent in English (written and spoken)

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¿Qué piden?

✓7+ años como ingeniero backend en Java.
✓Experiencia con sistemas distribuidos o de datos intensivos.
✓Conocimiento práctico en Apache Iceberg o Delta Lake.
✓Experiencia con almacenamiento objeto (S3/GCS/Azure).
✓Habilidades en consistencia, atomicidad e idempotencia en sistemas de datos.
✓Capacidad para liderar iniciativas técnicas en entornos ambiguos.

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JavaApache IcebergDelta LakeKafkaS3GCSAzureDuckDBFlinkKafka Streams

¿A quién escribirle en Camunda?

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Camunda is the enterprise platform for agentic orchestration , enabling organizations to coordinate AI agents, people, and systems across complex, end-to-end business processes. With built-in governance, auditability, and human oversight, Camunda gives enterprises the control they need to move AI from pilots to production — safely and at scale. Trusted by over 700 organizations worldwide , including 9 of top 10 US banks, Camunda helps enterprises boost operational efficiency, accelerate time-to-value, and deliver better customer experiences. Fully remote and global, we are in the middle of something bigger: transforming into an AI-first organisation, built on our own platform . We use Agentic AI to automate, orchestrate intelligent processes, and elevate human contribution across every team. Named GP Bullhound’s Top 100 Next Unicorn list, 2025 Great Place to Work certified. Technologies. ranked 3rd in Flexa's 2026 Most Flexible Companies , We’re growing fast and looking for top talent to join our team. If you want meaningful work, visible impact and put something genuinely rare on your CV, keep reading. About the role: 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. What You Will Do: 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: Must Haves: 7+ years of experience as a backend engineer, in Java, with a strong focus on distributed or data-intensive systems. g. 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. g. concurrent writes, atomicity, idempotency).

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