Lead Site Reliability Engineer

Key Responsibilities

Implement and manage Service Level Objectives (SLOs), Service Level Indicators (SLIs), and error budgets to drive reliability efforts.

Develop systems that are resilient to failures and ensure 99.9%+ uptime for critical services.

Lead incident response and post-incident reviews (blameless postmortems), ensuring robust root cause analysis and continuous improvement of systems.

Automate incident detection and response using automated runbooks or predefined workflows.

Write software as needed to support reliability or efficiency needs.

Design and implement full observability across systems using modern tools like Open Telemetry for tracing, metrics, and logging.

Use capacity planning, forecasting, and performance testing to ensure that the systems scale effectively as the user base and load grow.

Collaborate with development and operations teams on building reliable, scalable, and high-performance services.

Ensure best practices are followed across infrastructure design, deployment, and maintenance using tools like AWS, Kubernetes, EKS, Fargate, etc.

Champion Infrastructure as Code (IaC) to provision, manage, and scale infrastructure using tools like Terraform, Pulumi, or similar.

Get involved in chaos engineering initiatives.

Participate on our on-call rotation.

Drive advanced alerting and anomaly detection applied to metrics

Experience & Qualifications

3-5 years of experience as an SRE, working in cloud-based environments and on-prem environments.

Deep understanding of Linux systems, networking, and systems administration.

Experience with cloud platforms like AWS, with a strong understanding of Kubernetes and container orchestration tools.

Hands-on experience with observability tools such as Honeycomb, Grafana, Prometheus, Thanos, ELK (Elastic Stack), or Loki.

Strong skills in at least one programming language (Python, Go) to write production level code.

Strong skills in shell scripting using bash or similar. • Experience with OpenTelemetry or other distributed tracing systems, including tracing, metrics, and logs integration.

Experience with Chaos Engineering methodologies and tools (Chaos Mesh, chaos monkey, AWS Fault Injection Simulator, etc.

Skills & Knowledge

Reliability-focused mindset with the ability to balance fast product iterations and system stability.

Solid understanding of SLOs, SLIs, and error budgets.

Hands-on knowledge of CI/CD pipelines and infrastructure automation.

Proven expertise in incident management, postmortems, and root cause analysis.

Knowledge of modern deployment strategies (e.g., blue-green deployments, canary releases) and resiliency patterns (circuit breakers, retry mechanisms, etc).

Preferred Qualifications

Experience with distributed systems.

Experience with statistical analysis applied to metrics.

Familiarity with high-performance, low-latency systems.

Strong problem solving skills.

Experience as on-call engineer.

Experience writing production level code.

Hands-on experience running Chaos Engineering drills and initiatives.

Company Summary

Zeta Global is a data-powered marketing technology company with a heritage of innovation and industry leadership. Founded in 2007 by entrepreneur David A. Steinberg and John Sculley, former CEO of Apple Inc and Pepsi-Cola, the Company combines the industry’s 3rd largest proprietary data set (2.4B+ identities) with Artificial Intelligence to unlock consumer intent, personalize experiences and help our clients drive business growth.

Zeta Global is a leading AI-powered marketing technology company that enables enterprise brands to acquire, grow, and retain customers through intelligent, data-driven engagement. At the center of its innovation is the Zeta Marketing Platform (ZMP), which unifies customer data, identity, and advanced analytics to transform billions of data signals into actionable marketing intelligence and measurable business outcomes.

Publicly traded on the New York Stock Exchange (NYSE: ZETA), Zeta is redefining modern marketing with Athena by Zeta™, a superintelligent, conversational agent embedded in ZMP that personalizes the marketer’s workspace, surfaces platform generated insights through natural dialogue and recommends next-best actions to help brands accelerate and optimize their marketing outcomes.