Spotify
Spotify
Spotify este o companie globală de streaming audio care oferă acces la un catalog extins de muzică și podcasturi. Echipele sale combină ingineria, știința datelor și parteneriatele cu clienții pentru a dezvolta experiențe de ascultare personalizate și pentru a îmbunătăți modul în care oamenii descoperă și se bucură de conținut audio. Pentru persoanele aflate în căutarea unui loc de muncă, contextul recrutării la Spotify se extinde asupra acestor domenii și reflectă un accent pe diversitate, echitate, incluziune și sentimentul de apartenență, precum și pe activități menite să creeze un impact social și de mediu mai amplu.

Backend Engineer, Data Platform at Spotify

Build Spotify’s Apache Iceberg lakehouse platform and operate BigQuery at scale. Support dependable data infrastructure from London or Stockholm in a hybrid role.

Descriere

  • Build lakehouse foundations that let data workflows read and write Iceberg tables directly
  • Support migration of Spotify data pipelines through tooling, standards, and hands-on guidance
  • Manage BigQuery reservations and capacity at Spotify scale
  • Create BigQuery monitoring and anti-pattern detection
  • Develop platform tools such as the BigQuery MCP server
  • Take part in weekly support and shared on-call rotations
  • Investigate production issues across storage formats, catalog APIs, Kubernetes reconciliation, GCP IAM, and BigQuery internals
  • Automate recurring operational work
  • Help evolve the Lakehouse platform into a production-grade system after its MVP

Cerințe

  • Demonstrated experience building and operating production backend services with Java or Scala
  • Working knowledge of GCP and Kubernetes
  • Ability to interpret kubectl output and reason about IAM permissions and quotas
  • Experience with custom resource definitions and Kubernetes operators
  • Background with Apache Iceberg, JVM-based processing frameworks such as Spark, Beam, or Flink, or cloud data warehouses including BigQuery, Snowflake, or Databricks
  • Systems-level thinking and the ability to trace issues across multiple layers of the stack
  • Commitment to owning production systems and maintaining reliability at scale
  • Strong written communication and comfort collaborating asynchronously across US and EU time zones
  • Accountability for the quality of delivered code, including code produced with AI assistance

Beneficii

  • Flexible working arrangements, including the option to work from home
  • Reasonable accommodations throughout the interview process
  • An accessible recruitment process
  • Permanent employment

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