Zeta

Overview

We are hiring a hands-on Senior Software Engineer to build and operate backend services for our Forecasting and Recommendations platforms, with a focus on production-grade AI and data-driven decisioning systems.

About Zeta

Zeta is a company providing platforms and technologies for marketing, forecasting, recommendations, and data-driven decisioning systems.

Requirements & Eligibility

• 8–12 years of professional software engineering experience building and operating scalable, robust backend systems.
• A strong track record of hands-on ownership of production services, including improvements in performance, reliability, scalability, or cost.
• Strong expertise in distributed systems design, including service boundaries, concurrency, data modeling, failure handling, and scalability tradeoffs.
• Experience developing high-throughput, event-driven systems and backend APIs.
• Experience supporting machine-learning-driven systems, forecasting, recommendations, or similar datadriven applications is strongly preferred.
• Strong hands-on experience with AWS and cloud-native system design and operations.
• Experience with Kafka, Elasticsearch, NoSQL databases such as Aerospike, Thrift, and modern CI/CD pipelines.
• Experience with container-based solutions and microservices architectures.

Key Responsibilities

• Design, build, and operate backend services supporting forecasting, recommendations, and Performance Advisor workflows in production.
• Write production-quality code daily; own significant services and components from design through deployment, support, and incident resolution.
• Build low-latency, high-throughput SaaS services, including APIs, event-driven pipelines, data-processing services, and model-integration workflows.
• Develop and maintain scalable backend components that support AI- and machine-learning-driven product capabilities.
• Collaborate with data science, platform, and product teams to integrate forecasting, recommendation, and AI decisioning capabilities into production systems.
• Work with technologies such as Kafka, Elasticsearch, NoSQL databases, and AWS to build resilient distributed systems.
• Ensure product quality through rigorous code reviews, unit tests, debugging, and continuous improvement.
• Champion observability and reliability through metrics, logging, tracing, alerting, and root-cause analysis.