Software Engineer (Stream Processing)

Nebius B V
Netherlands
3 days ago
Apply on startup.jobs
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Databases Python (Programming Language) Enterprise Messaging Systems Data Streaming Change Data Capture Backend Kubernetes Low Latency Apache Flink Apache Kafka Stream Processing
+1 more
Service Stack

Job description

We are looking for a Senior Software Engineer to build the event-processing pipelines and services that turn Nebius product usage into revenue. You will work on systems that process a continuous stream of usage events, where correctness and failure recovery matter as much as throughput. The output is money: a silently dropped or double-counted event is a real financial error. Usage of every Nebius product arrives as a stream of events. Our pipelines and services ingest, validate, enrich and price it in near real time, and deliver the results to invoicing, reporting and customer-facing account management.

In this role, you will:

  • 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.

Requirements

  • 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., * 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.

Technology stack

  • Go, Python
  • Apache Flink
  • YDB
  • YTsaurus
  • Messaging and event-streaming systems
  • Kubernetes, Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.

Benefits & conditions

  • 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

What’s it like to work at Nebius:

Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI

About the company

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.

Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on startup.jobs
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:09 min

Evaluating mature stream processing frameworks for production systems

Soroosh Khodami Soroosh Khodami · World Congress 2024

1:52 min

Structuring and scaling the backend engineering team

Stefan Lingler Stefan Lingler +1 · Coffee With Developers

3:04 min

Database evolution and the funding behind vector databases

Erik Bamberg · LIVE

2:28 min

Understanding Kubernetes architecture and core cluster components

Marc Nimmerrichter · World Congress 2022

1:38 min

Transitioning into backend engineering from web development

Stefan Lingler Stefan Lingler +1 · Coffee With Developers

1:12 min

Choosing TypeScript for complex backend applications

Maximilian Otto Maximilian Otto · World Congress 2024

Videos

See all

Related articles

See all