Software engineer in stream processing

Nebius; Netherlands; On-site; EUR 90,000 - 135,000; Full time

Benefits offered by this job

Competitive compensation

Career growth and learning

Flexibility and ownership

Collaborative and innovative culture

Impactful AI projects

International environment

Job summary

Nebius is building a full-stack AI cloud platform to support developers and enterprises from data ingestion to deployment. We seek a backend streaming engineer to build and operate stateful pipelines and Go services that process usage data in real time, ensuring correctness and high throughput.

You will own streaming infrastructure, integrate with databases and messaging, and contribute to deployment in a Kubernetes environment, shaping the future of AI infrastructure.

Qualifications

• Strong software engineering fundamentals.
• Experience with backend, streaming or data-intensive systems.
• Ability to reason about consistency and data correctness under failures.
• Experience with databases, messaging systems or event-processing platforms.
• Willingness to learn the team's technology stack.
• Experience with stateful streaming frameworks like Flink or Kafka Streams; Go development; Kubernetes operations.

Responsibilities

• Build stateful streaming pipelines that compute billed consumption in near real time.
• Develop and operate Go services that ingest usage events and move data between storage systems.
• Deliver consumption data to users through usage APIs and billing data exports.
• Guarantee correctness under failures: idempotency and exactly-once processing.
• Operate transactional storage, persistent queues and CDC under high throughput.
• Build reusable streaming infrastructure and improve reliability, scalability, latency and observability.
• Take end-to-end ownership of design, implementation, reliability and deployment.

Skills

Strong fundamentals

Back-end experience

Data streaming

Problem solving

Learning mindset

Tools

Go

Kubernetes

Apache Flink

Kafka Streams

Databases

Messaging systems

Event processing

Job description

Описание

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.

Задачи

Build stateful streaming pipelines that compute billed consumption in near real time. Develop and operate Go services that ingest usage events, move data between our storage systems and deliver consumption data to users through usage APIs and billing data exports. Guarantee correctness under failures: idempotency, exactly-once processing and reconciliation. Operate transactional storage, persistent queues and change data capture under high throughput. Build reusable streaming infrastructure rather than solving each use case independently. Improve the reliability, scalability, latency and observability of the billing platform. Take end-to-end ownership of your systems: design, implementation, reliability and deployment.

Требования

Strong software engineering fundamentals. Professional experience building and operating backend, streaming or data-intensive systems. The ability to reason about consistency and data correctness under failures. Experience with databases, messaging systems or event-processing platforms. The ability to investigate unfamiliar systems and solve problems without an obvious predefined solution. The ability and willingness to learn the team's technology stack. Будет плюсом: Experience with a stateful stream-processing framework such as Apache Flink or Kafka Streams; Experience designing streaming pipelines; Go development experience; Experience operating services in Kubernetes

Условия

• Competitive compensation
• Career growth and learning opportunities
• Flexibility and ownership
• Collaborative and innovative culture
• Opportunity to work on impactful AI projects
• International environment and talented teams
• Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI