Senior Software Engineer
Zeta Global
Salary undisclosed
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Description
WHO WE ARE
Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI.
Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.
THE ROLE
Zeta Global Corp seeks a Senior Software Engineer in NYC to design, develop, deploy, and own scalable distributed systems supporting the company’s customer relationship management and multichannel marketing technology platform. 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.
- Design, develop, test, deploy, and maintain distributed applications, microservices, backend services, and data-processing components for the company’s 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 technologies and frameworks such as 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 that support high-throughput and 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 cloud platforms.
- Implement and maintain application observability, centralized logging, distributed tracing, alerting, search, analytics, and production-debugging capabilities using technologies such as 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 software-development practices to software design, code development, automated test generation, code review, technical documentation, software modernization, and incident analysis. Integrate generative-AI or large-language-model APIs into software 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.
- Proactively identify and address project risks, architectural limitations, product gaps, data-quality issues, and operational concerns. Ensure the timely delivery of high-quality product updates and features through technical design and code reviews as well as unit, integration and automated testing.
- Research and implement cost-effective technical solutions.
- Create and maintain functional and technical documentation concerning 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
Option to telecommute 4 days per week.
Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering or Electrical and Computer Engineering plus 5 years of experience required in job offered or in a similar occupation
Salary: $193,461/yr.
BENEFITS & PERKS
- Unlimited PTO
- Excellent medical, dental, and vision coverage
- Employee Equity and Stock Purchase Plan
- Employee Discounts, Virtual Wellness Classes, and Pet Insurance
And more!!
PEOPLE & CULTURE AT ZETA
Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.
We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here: https://zetaglobal.com/blog/a-look-into-zetas-ergs/
ZETA IN THE NEWS!
https://zetaglobal.com/press/?cat=press-releases
Benefits
- Unlimited PTO
- Excellent medical, dental, and vision coverage
- Employee Equity and Stock Purchase Plan
- Employee Discounts, Virtual Wellness Classes, and Pet Insurance
About this role
Zeta Global is looking for a Senior Software Engineer to build and maintain the distributed systems powering its AI-driven marketing platform. You'd work on designing scalable backend services, data pipelines, and APIs that help enterprise customers unify customer data and optimize marketing campaigns. The role spans the full stack—from microservices and event-driven architectures using Kafka, to data processing and cloud deployment on AWS, Azure, or GCP, to integrating generative AI capabilities where they add value to the product.
The position demands strong fundamentals in backend development (Java, Python, Ruby, or similar), database design for both relational and NoSQL systems, and hands-on experience with production systems at scale. You'll also be expected to apply AI-assisted development practices, investigate production incidents, and collaborate across engineering, product, and client-facing teams to translate business requirements into technical roadmaps. This is a full-time, in-office role in New York City with the option to work remotely four days per week.
The job requires a Bachelor's degree in Computer Science or a related engineering field plus five years of relevant experience. Compensation is $193,461 annually, with unlimited PTO, equity participation, and standard benefits including medical, dental, and vision coverage.
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