Zeta Global - Staff Software Engineer
Requirements
• 12+ years of professional software engineering experience building and operating production-grade distributed systems. • A strong track record of hands-on ownership of business-critical services, including measurable improvements in latency, throughput, stability, or cost. • Deep expertise in systems design, including service boundaries, concurrency, data modeling, failure handling, and scalability tradeoffs. • Production experience supporting machine learning–driven systems (forecasting, recommendations, or similar), with emphasis on serving, pipelines, and infrastructure. • Expert-level experience with AWS, including designing, deploying, and operating large-scale cloud-native systems. • Strong hands-on experience with Kubernetes, containerized microservices, and modern CI/CD pipelines. • Experience operating software in both on-prem data center and AWS cloud environments. • Fluency with modern AI-assisted development tools (e.g., Cursor, GitHub Copilot) and comfort working in “vibe coding”–style workflows that favor fast iteration, tight feedback loops, and continuous refactoring. • 2+ years of experience in Python and proficiency in one or more backend languages commonly used for large-scale systems (e.g., Python, Java, Go, Scala). • Bachelor’s or master’s degree in computer science, Mathematics, or a related field, or equivalent practical experience. • Staff-Level Expectations • Be a prolific, hands-on contributor who raises the bar through example. • Own and deeply understand large portions of the codebase and system architecture. • Simplify complex systems to increase team velocity and reliability. • Balance technical, analytical, and product constraints to deliver pragmatic solutions. • Set short- to medium-term (6–12 month) technical direction for your domain. • Influence standards and architectural decisions across teams through credibility and collaboration. • Ship multiple large services, shared libraries, or major infrastructure improvements.
Responsibilities
• Design, build, and operate systems supporting forecasting, recommendations, and agentic AI workflows in production. • Write production-quality code daily; own services end-to-end from design through on-call and incident resolution. • Architect low-latency, high-throughput SaaS services, including APIs, data pipelines, model inference, and agent orchestration. • Build and maintain production-grade agentic applications, including tool-using agents, workflow orchestration, and guardrails. • Work fluently with foundational LLMs (e.g., GPT, Claude, Gemini Pro), selecting appropriate models and deployment patterns based on latency, cost, and reliability tradeoffs. • Use frameworks and tooling such as LangChain, voice agents, and related ecosystems to accelerate development—while enforcing production discipline. • Embrace AI-assisted development workflows (e.g., Cursor, GitHub Copilot, vibe coding paradigms) to move quickly without sacrificing quality. • Champion observability and reliability: metrics, logging, tracing, alerting, and post-incident analysis. • Lead and participate in production incident response, retrospectives, and systemic fixes. • Identify architectural risks early and make design decisions that prevent outages and scalability issues. • Reduce complexity across services, infrastructure, and processes to improve stability and team velocity. • Provide technical guidance across teams and participate in architectural reviews beyond your immediate domain.
Benefits
• Build and operate mission-critical systems that power forecasting and recommendations at scale. • Work in an environment that values execution, pragmatism, and modern engineering workflows. • Operate at true Staff scope with real architectural ownership and hands-on impact. • Solve hard systems problems with meaningful business outcomes. • Excellent medical, dental, and vision coverage • Employee Equity • Employee Discounts, Virtual Wellness Classes, and Pet Insurance and more!! • The salary range for this role is $220,000 - $240,000, depending 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 individual’s 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. • We’re 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: https://zetaglobal.com/blog/a-look-into-zetas-ergs/ • ZETA IN THE NEWS! • ZETA IN THE NEWS! • https://zetaglobal.com/press/?cat=press-releases
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