Staff Backend Engineer

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 industrys 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 .

Role Description

As a Staff Backend Engineer you will be a highly technical individual contributor responsible for designing building and optimizing the backend systems that power our low-latency ad platform. You will take the lead in developing scalable microservices and streaming data infrastructure to handle high-throughput workloads with minimal latency. This role requires deep expertise in distributed systems and real-time data processing (ideally in the programmatic advertising domain) to ensure our systems remain highly performant and reliable. Youll work closely with product managers data scientists and other engineering teams to translate business needs into technical solutions and ensure the platform is fast fault-tolerant and observable. This role is based in the United States and can be performed remotely with a preference for candidates who can join us in a hybrid capacity in San Francisco New York or Atlanta.

Key Responsibilities

• System Architecture & Development: Lead the design and implementation of scalable high-performance backend services including microservices and APIs that can efficiently handle large volumes of requests with low latency. Ensure the architecture accommodates real-time bidding and personalization use cases common in AdTech.

• Streaming Data Infrastructure: Develop and maintain streaming data pipelines and event-driven systems to process and analyze continuous data flows in real time (e.g. using Apache Kafka). Optimize data ingestion and processing for timeliness and accuracy to support downstream analytics and machine-learning models.

• Performance & Reliability: Ensure the backend systems are highly performant resilient and stable under heavy load. Implement robust fault-tolerance mechanisms and optimize for low-latency response times in a high-concurrency environment. Leverage observability best practices (comprehensive monitoring logging and tracing) to enable engineers to quickly analyze system behavior and take proactive measures to boost performance and reliability.

• Cross-Functional Collaboration: Work closely with cross-functional teams including Product Data Science DevOps and Frontend to translate business requirements into scalable technical solutions. Facilitate effective communication and collaborative problem-solving to deliver new features and improvements that align with our product roadmap.

• Technical Leadership & Mentorship: Provide technical leadership within the engineering team without direct managerial duties. Guide and mentor junior engineers through code reviews design discussions and best practice adoption fostering a culture of technical excellence and continuous improvement.

• Technical Strategy & Innovation: Stay abreast of emerging technologies and industry trends (e.g. new AWS services streaming frameworks database technologies) and evaluate their potential benefit to our platform. Contribute to the technical roadmap making build-vs-buy recommendations and driving innovation to keep our systems ahead of the curve.

Required Qualifications

• 8 years of software engineering experience building backend systems with 3 years in a senior or lead role (e.g. Staff Engineer Principal Engineer) in the AdTech or a similar high-volume low-latency domain.

• Proven track record in designing and building high-throughput low-latency distributed systems that operate at scale (e.g. handling thousands of requests per second or more).

• Expertise in microservices architecture and distributed system design including experience decomposing monoliths or building greenfield microservices with well-defined APIs.

• Proficiency in Java and Go for backend development and experience with Python for scripting automation or data processing tasks.

• Hands-on experience with streaming data technologies and event-driven frameworks such as Apache Kafka (or AWS Kinesis) and possibly stream processing frameworks (Spark Streaming Flink or similar experience with Apache Kafka is highly desired).

• Strong experience with cloud platforms (AWS preferred) and deploying services in a cloud-native environment. Familiarity with AWS components like EC2 S3 Lambda SNS/SQS etc. and ability to design cost-effective performant cloud architectures.

• Experience with both SQL and NoSQL databases for high-volume applications. Comfortable with technologies like PostgreSQL/MySQL as well as key-value or wide-column stores (e.g. DynamoDB Cassandra Redis) for caching and fast lookups.

• Familiarity with containerization and orchestration tools (Docker Kubernetes) and CI/CD pipelines to build and deploy microservices reliably.

• Deep understanding of system observability and monitoring experience instrumenting applications and using monitoring/logging tools to ensure visibility into system performance (e.g. Prometheus Grafana ELK stack or similar).

• Excellent problem-solving and communication skills. Ability to communicate complex technical concepts clearly to cross-functional team members and stakeholders. Proven collaboration skills in an agile development environment.

Preferred Qualifications

• Domain Expertise: Deep knowledge of the programmatic advertising ecosystem including how Demand-Side Platforms (DSPs) Supply-Side Platforms (SSPs) ad exchanges and real-time bidding (RTB) work together. Prior experience building or optimizing components of a DSP or ad server is a strong plus.

• High-Scale Data Processing: Experience designing systems that operate at extreme scale such as real-time auction systems or high-frequency trading platforms and optimizing algorithms for latency and throughput (e.g. understanding of auction theory or bidding optimization strategies).

• Data Pipelines & Analytics: Familiarity with big data processing and analytics pipelines (Spark Hadoop or columnar data stores) for batch and streaming workloads. Experience with data warehousing or real-time analytics databases (e.g. Druid ClickHouse) is a plus.

• Advanced Performance Tuning: Demonstrated experience in performance profiling and optimization (e.g. JVM tuning concurrency GC optimization network I/O) in large-scale Java or Go applications.

• Leadership in the Tech Community: A track record of contributing to open-source projects technical publications or speaking at industry conferences. Keeping on top of emerging trends and sharing knowledge both inside and outside the organization.

• Education: Bachelors degree in Computer Science Engineering or related field (Masters or Ph.D. a plus) with strong foundations in algorithms and data structures.

BENEFITS & PERKS

• Unlimited PTO
• Excellent medical dental and vision coverage
• Employee Equity
• Employee Discounts Virtual Wellness Classes and Pet Insurance And more!!

SALARY RANGE

The salary range for this role is $300000 - $375000depending on location and experience.

PEOPLE & CULTURE AT ZETA

Zeta considers applicants for employment without regard to and does not discriminate on the basis of an individuals 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.

Were 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: IN THE NEWS!

Experience:

Staff IC