Lead Software Engineer, Opportunity Insights

Zeta Global is an AI-Powered Marketing Cloud that simplifies marketing through advanced artificial intelligence. They are seeking a Lead Software Engineer to define architecture and drive technical direction for scalable, data-intensive systems that power marketing intelligence products.

Responsibilities:

• 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 direction
• Excellent problem-solving skills and ability to operate independently in a fast-paced environment
• Experience leveraging AI-powered development tools to improve engineering productivity
• BS or MS in Computer Science or related field
• Experience building platforms that support ML or advanced analytics workloads
• Experience modernizing or evolving legacy systems into scalable cloud-native architectures
• Track record of leading high-impact, cross-team engineering initiatives