Job Opportunities API

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 . Position Overview   Zeta Global is seeking a  Lead Software Engineer  to join the Opportunity Insights team. This role is for a highly experienced engineer who  operates  at system and platform scope — someone who can define architecture, drive technical direction, and deliver scalable, data-intensive systems that power marketing intelligence products.   You will lead the design and evolution of distributed systems running on AWS and Kubernetes (EKS), enabling large-scale data processing and real-time insights across billions of data points. This role requires deep  expertise  in distributed systems, strong architectural judgment, and the ability to influence engineering standards across teams.   What  You’ll  Do   Define and evolve the architecture of scalable, distributed systems deployed on AWS.   Design and operate microservices and data-intensive workloads running in Kubernetes (EKS).   Lead technical design for systems that process and analyze large-scale datasets (high-volume, high-velocity, and high-variety data).   Establish patterns and best practices for building resilient, observable, and performant services.   Partner with Product, Data Science, and Engineering leaders to translate business strategy into long-term technical roadmaps.   Drive cross-team technical initiatives and influence architecture decisions beyond your immediate team.   Optimize  data storage, retrieval, and processing strategies across relational and NoSQL systems.   Mentor engineers, raise the bar on design and code quality, and lead through technical  example .   Take end-to-end ownership of critical platform components, ensuring long-term scalability and maintainability.   Requirements   8+ years of experience building and scaling production-grade distributed systems.   Strong foundation  in computer science, distributed systems, and large-scale system design.   Proven experience architecting systems that  operate  on large datasets (event streams, batch + real-time pipelines, high-throughput services).   Deep hands-on experience with AWS, including EKS, EC2, S3, RDS, IAM, Lambda, CloudWatch, and infrastructure-as-code practices.   Strong  expertise  in Kubernetes (EKS) and containerized  microservices  architectures.   Experience with streaming and data infrastructure technologies such as Kafka, Elasticsearch, and NoSQL databases (e.g., Aerospike).   Strong  proficiency  in Java, Python, Ruby, or similar object-oriented languages.   Experience designing APIs and service communication layers (REST,  gRPC , Thrift).   Demonstrated ability to lead technical design reviews and influence engineering directi