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Zeta Global

AI-driven marketing platform for enterprises

Senior Software Engineer

Backend EngineeringConfirmed live in the last 24 hours
Full-timeNew York, NY, USA$193.5k /yr

About the Job

Requirements

  • A bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or Electrical and Computer Engineering, plus five years of experience in the job offered or a similar occupation.
  • Experience developing production applications and services using Java, Python, Ruby, Ruby on Rails, or comparable technologies.
  • Experience designing, implementing, documenting, and integrating APIs, including RESTful APIs, using FastAPI, Ruby on Rails, Spring, or comparable frameworks.
  • Experience building data-processing and extract, transform, and load pipelines.
  • Experience with Apache Kafka or comparable distributed event-streaming or messaging technologies.
  • Experience with relational and NoSQL databases, including data modeling, queries, indexing, caching, and data access.
  • Experience deploying, operating, monitoring, and scaling applications in cloud environments such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform.
  • Experience with observability, centralized logging, distributed tracing, alerting, search, analytics, and production debugging platforms such as the Elasticsearch, Logstash, and Kibana stack or Honeycomb.
  • Experience applying AI-assisted software-development practices and integrating generative-AI or large-language-model APIs into applications where required.
  • Experience implementing production controls for model evaluation, output validation, observability, failure handling, privacy, security, and AI-output guardrails.
  • Experience with technical design, code reviews, unit testing, integration testing, and automated testing.

Responsibilities

  • Design, develop, test, deploy, and maintain distributed applications, microservices, backend services, and data-processing components for the marketing technology platform.
  • Analyze business and product requirements and translate them into scalable, reliable, and maintainable technical designs.
  • Develop and maintain production applications and services using programming languages and application frameworks such as Java, Python, Ruby, Ruby on Rails, or comparable technologies.
  • Design, implement, document, and integrate APIs, including RESTful APIs, using FastAPI, Ruby on Rails, Spring, or comparable API-development frameworks.
  • Design, build, and optimize data-processing and extract, transform, and load pipelines that ingest, validate, transform, enrich, and distribute high-volume customer and marketing data.
  • Develop and maintain event-driven and asynchronous data-processing systems using Apache Kafka or comparable distributed event-streaming or messaging technologies.
  • Design and maintain application components that use relational and NoSQL databases.
  • Develop data models, queries, indexing strategies, caching mechanisms, and data-access functionality for high-throughput, low-latency applications.
  • Deploy, operate, monitor, and scale applications in cloud-computing environments such as Amazon Web Services, Microsoft Azure, Google Cloud Platform, or comparable platforms.
  • Implement and maintain application observability, centralized logging, distributed tracing, alerting, search, analytics, and production-debugging capabilities using the Elasticsearch, Logstash, and Kibana stack, Honeycomb, or comparable platforms.
  • Investigate production incidents, conduct root-cause analysis, identify application and system performance bottlenecks, and implement corrective and preventive improvements.
  • Apply AI-assisted and AI-first development practices to software design, code development, automated test generation, code review, technical documentation, modernization, and incident analysis; integrate generative-AI or large-language-model APIs into applications where required by the product.
  • Implement production controls for model evaluation, output validation, application observability, failure handling, privacy, security, and guardrails for AI-generated output.
  • Identify and address project risks, architectural limitations, product gaps, data-quality issues, and operational concerns.
  • Ensure timely delivery of high-quality product updates and features through technical design and code reviews, and unit, integration, and automated testing.
  • Research and implement cost-effective technical solutions.
  • Create and maintain functional and technical documentation about software architecture, APIs, database schemas, data pipelines, platform integrations, deployment procedures, production operations, and product features.
  • Review client implementations to verify that solutions are scalable, secure, compliant, optimized, and aligned with platform best practices.
  • Collaborate with software engineers, architects, product managers, and client-facing teams to define technical roadmaps and deliver platform capabilities that unify customer data across digital touchpoints and improve clients' return on marketing investment.

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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