We deliver better experiences for consumers and better results for your brand.
Lead Software Engineer, Identity
Location
California
Posted
61 days ago
Salary
$150K - $200K / year
Seniority
Senior
Job Description
Lead Software Engineer, Identity
Zeta Global
• 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
Job 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!!
Related Guides
Related Job Pages
More Full-stack Engineer Jobs
Senior Full Stack Engineer
Vocalytics AIWe make voice & sound intelligent in the physical world. The Vocalytics Platform listens deeply to uncover hidden value.
• Design and create the core software for Vocalytics’ internal and customer-facing services. • Write, review, and implement software architecture proposals in compliance with edge best practices. • Be a foundational leader of our engineering team and work collaboratively with other developers on the team. • Work collaboratively with DevOps, Product Design, Embedded Systems, AI/ML/Data Science, and other teams at Vocalytics. • Test and document your work.
• Help keep competitive esports clean by applying your passion to disassemble, reverse engineer, tinker, and innovate in low-level systems for good! • Work independently without continuous direct management
• Lead and contribute to full‑stack development using modern Agile methodologies • Develop intuitive applications in collaboration with cross-functional teams • Design, build, and maintain RESTful microservices using Java, Spring, and cloud‑native patterns • Develop advanced single‑page applications using Angular or React • Deliver prototypes, reusable UI components, and maintainable automation solutions • Utilize AWS services such as Lambda, ECS, IAM, VPC, EC2, ELB, RDS, Route53, S3, API Gateway, SQS, and DynamoDB • Incorporate test-driven development practices and integrate automated QA into development workflows • Support CI/CD pipelines and infrastructure automation • Troubleshoot complex issues across distributed systems and improve performance • Provide guidance and mentorship to junior engineers • Take ownership of assigned modules and deliver features from concept to production • Contribute to architectural discussions and engineering process improvements.
Senior Software Engineer – Admin Platform
People.aiDrive Revenue Intelligence Across All Your Customer-Facing Teams
• Take ownership of projects. From requirements gathering, through design, implementation and testing, to monitoring and maintenance throughout the tech stack. • Collaborate within the team, with other engineering teams and cross-functionally to enhance our users’ experience. • Follow software design and development best practices and promote such practices in the team. • Document design choices and operational knowledge to successfully deploy and run services. • Ensure code accuracy and efficiency with appropriate test coverage, integration testing and load testing. • Ensure robust alerting, dashboards, and runbooks for production services are in place.




