Lead Software Engineer, Identity

🕒 May 8

🏄 California – Remote

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💵 $150k - $200k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

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Logo of Zeta Global

Zeta Global

1001 - 5000 employees

Founded 2007

☁️ SaaS

🤖 Artificial Intelligence

🤝 B2B

💰 Post-IPO Debt on 2024-09

SaaS • Artificial Intelligence • B2B

Zeta Global is an AI-powered marketing cloud that leverages proprietary AI and trillions of consumer signals to acquire, grow, and retain customers more efficiently. The Zeta Marketing Platform (ZMP) offers a comprehensive suite of tools, including data management, customer data platforms (CDP), email service providers (ESP), and digital signal processing (DSP), to create individualized customer experiences and improve marketing outcomes. Zeta emphasizes omnichannel marketing, customer intelligence, and data-driven marketing strategies, partnering with brands, agencies, and publishers worldwide to accelerate brand growth and engagement. Their platform is designed to tackle complex marketing challenges with solutions for customer acquisition, growth, and retention through predictive AI and actionable consumer data.

📋 Description

• Design and build backend services and APIs for identity resolution, graph transparency, and integrations. • Develop and optimize event-driven pipelines and workflows processing billions of signals. • Deploy and operate cloud-native services on EKS/Kubernetes, leveraging Helm for repeatable deployments. • Ensure reliability, observability, and scalability across services and data pipelines. • Collaborate across engineering, product, and data teams to deliver end-to-end identity solutions. • Mentor engineers and influence architecture and roadmap

🎯 Requirements

• 5+ years of experience in backend and/or data engineering at scale. • Strong skills in Python, Java, or Scala, with expertise in APIs, distributed systems, and event-driven design. • Hands-on experience with Kafka (or similar), Spark/Hive/Flink, and workflow schedulers (Airflow/Luigi). • Proficiency with Kubernetes (EKS preferred) and deployment practices (Helm, service meshes). • Solid knowledge of SQL, data modelling, and cloud platforms (AWS). • Familiarity with columnar / NoSQL databases (Aerospike, Snowflake, HBase, Scylla, Couchbase). • Strong communication skills and a track record of driving technical direction and mentoring teams.

🏖️ Benefits

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

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