Senior Software Engineer — Large-Scale Data Pipelines (Go)

Senior Software Engineer — Large-Scale Data Pipelines (Go)

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Nebius

At a Glance

  • Tasks: Design and implement large-scale indexing systems and optimise data pipelines.
  • Company: Join Nebius, a leader in cloud-based search technology.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Dynamic team environment with a focus on innovation and collaboration.
  • Why this job: Shape the future of AI infrastructure while working with cutting-edge technology.
  • Qualifications: Experience in software engineering and a passion for data processing.

The predicted salary is between 60000 - 80000 £ per year.

Nebius is building a cutting-edge agent‑native search platform in the cloud.

We are seeking a Senior Software Engineer to join the indexing and data processing layer, handling massive data ingestion and organization for fast, scalable retrieval.

You will design and implement large‑scale indexing systems, optimise data pipelines, and collaborate with ML teams to meet retrieval requirements.

Expect high throughput work, observable systems, and opportunities to shape the future of AI infrastructure

#J-18808-Ljbffr

Senior Software Engineer — Large-Scale Data Pipelines (Go) employer: Nebius

Nebius is an exceptional employer that fosters a dynamic and innovative work culture, particularly for those in the Remote Field CTO role. With flexible working options in London or remotely, employees benefit from a supportive environment that encourages professional growth and collaboration, while also having the unique opportunity to shape cutting-edge cloud services in the retail sector.

Nebius

Contact Details:

Nebius Recruitment Team

We think you need these skills to ace Senior Software Engineer — Large-Scale Data Pipelines (Go)

Go
Large-Scale Data Pipelines
Indexing Systems Design
Data Ingestion
Data Processing
Optimisation Techniques
Collaboration with ML Teams