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Zeta Global

AI-driven marketing platform for enterprises

Senior Compute Platform Engineer

Platform EngineeringConfirmed live in the last 24 hours
Full-timeCopenhagen, DenmarkNo salary listed

About the Job

Requirements

  • At least 3 years of software engineering experience.
  • At least 1 year of experience and proficiency in Scala or another JVM-based language.
  • Experience with Spark or another large-scale data-processing framework.
  • Basic knowledge of Amazon Web Services, including EC2, S3, and Athena.
  • An analytical approach to problem-solving and a pragmatic approach to solutions.
  • Ability to work independently in a dynamic environment where work priorities can change.
  • Excellent interpersonal and communication skills, including the ability to discuss ideas in a distanced and constructive manner.

Responsibilities

  • Operate and implement new features in the framework and services managed by the team.
  • Engage with data scientists and identify ways to improve their experience and productivity when using the framework and services.
  • Identify and implement computational improvements.
  • Improve or fix bugs by submitting patches to open-source projects in the technology stack, including Spark, Iceberg, Hadoop, and Airflow.
  • Act as an expert on Spark and Scala.
  • Mentor engineers through pairing, design discussions, and knowledge-sharing sessions, and help raise quality, reliability, and good practices across the team.

Desired Qualifications

  • Experience with Kubernetes.
  • Interest in back-end technologies, architecture, and learning new things.
  • Interest in math, statistics, or advertising technology.

About the Company

Zeta Global

AI-driven marketing platform for enterprises

Zeta Global provides AI-driven marketing technology for enterprises to acquire customers, retain them longer, and grow their value. Its Zeta Marketing Platform offers a real-time view of prospects and customers and uses AI to deliver personalized experiences across multiple channels at scale, pulling in behavioral signals and purchase intents to generate intent and churn signals for millions of identities for cross-channel campaigns. It differentiates itself through real-time data, a large identity graph, multi-channel orchestration, and deterministic attribution that drive measurable marketing outcomes. The goal is to help brands optimize acquisition and retention to maximize lifetime value by delivering precise, data-driven marketing at scale.

Company size
1,001-5,000
Company stage
IPO
Headquarters
New York City, New York
Founded
2007

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