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 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.
Preferred Qualifications
- 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.
BENEFITS & PERKS- Unlimited PTO
- Excellent medical, dental, and vision coverage
- Employee Equity
- Employee Discounts, Virtual Wellness Classes, and Pet Insurance And more!!
SALARY RANGEThe salary range for this role is $190,000 - $205,000, depending on location and experience.
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