Senior .Net Engineer - Real Time Product Engineering

This Senior Software Engineer role designs and implements scalable software components and infrastructure within internal developer platforms and distributed systems. Responsibilities include optimizing tooling, conducting technical design reviews, leading cross-functional initiatives, and developing reusable frameworks and internal APIs. Requires experience with REST APIs/gRPC, Python/Java/C#/JavaScript/C++, SQL, AWS, Kubernetes, Docker, and monitoring tools like Grafana or Prometheus.

This senior engineering role involves solving complex engineering problems to build scalable systems that support millions of users interacting with money. The focus is on delivering a seamless and reliable investing platform for everyday investors.

This Senior Software Engineer on the Real-Time Ad Serving team designs and owns the business logic for programmatic advertising, including ad selection, targeting, frequency capping, and budget pacing. The role primarily involves working in Lua on a C++ high-performance server framework, handling 200K+ requests per second with strict latency requirements. The engineer will collaborate with Product, participate in on-call rotation, and contribute to architecture discussions, with experience in ad tech (RTB, DSP/SSP) being a plus.

This role leads the design, build, and operation of the Zeta Marketing Platform's real-time events pipeline, which ingests and processes high-volume event data. The engineer will own the architecture for pipeline components, mentor team members, and partner with product and data teams to meet latency and throughput SLAs. The position requires 8-10 years of experience with event streaming (Kafka), Python services, and AWS cloud infrastructure.

Provides advanced customer support, handling complex inquiries and ensuring high satisfaction. Requires deep product knowledge and problem-solving skills to resolve issues efficiently.

Leads the development of analytics solutions and data products. Manages analytics teams, designs data models, and delivers insights to support business decisions.

Leads a service and quality team, overseeing service delivery standards and quality assurance processes. Focuses on team management, performance metrics, and continuous improvement initiatives.