Zeta Global

Zeta Global

Zeta Global provides an AI-powered marketing cloud that enables enterprises to acquire, grow, and retain customers through precision marketing, leveraging data science, advanced analytics, and machine learning to create optimized customer experiences.

Media
1K-5K
Founded 2007

Description

  • Implement and manage SLOs, SLIs, and error budgets to guide reliability efforts.
  • Develop resilient systems and help ensure 99.9%+ uptime for critical services.
  • Lead incident response, post-incident reviews, and blameless postmortems with root cause analysis.
  • Automate incident detection and response using runbooks and predefined workflows.
  • Write production software as needed to improve reliability and operational efficiency.
  • Design and implement observability across systems using tracing, metrics, and logging tools.
  • Use capacity planning, forecasting, and performance testing to support scaling and growth.
  • Collaborate with development and operations teams to build reliable, scalable, high-performance services.
  • Apply infrastructure best practices across design, deployment, and maintenance using cloud and container tooling.
  • Champion Infrastructure as Code to provision, manage, and scale infrastructure.
  • Participate in chaos engineering initiatives and on-call rotation.
  • Drive advanced alerting and anomaly detection for metrics.

Requirements

  • 3-5 years of experience as an SRE in both cloud-based and on-prem environments.
  • Deep understanding of Linux systems, networking, and systems administration.
  • Experience with AWS and strong knowledge of Kubernetes and container orchestration tools.
  • Hands-on experience with observability tools such as Honeycomb, Grafana, Prometheus, Thanos, ELK, or Loki.
  • Strong programming skills in at least one language such as Python or Go to write production-level code.
  • Strong shell scripting skills using bash or similar.
  • Experience with OpenTelemetry or other distributed tracing systems, including tracing, metrics, and log integration.
  • Experience with Chaos Engineering methodologies and tools such as Chaos Mesh, Chaos Monkey, or AWS Fault Injection Simulator.
  • 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 such as blue-green deployments and canary releases, as well as resiliency patterns like circuit breakers and retry mechanisms.
  • Experience with distributed systems.
  • Experience with statistical analysis applied to metrics.
  • Familiarity with high-performance, low-latency systems.
  • Strong problem-solving skills.
  • Experience as an on-call engineer.
  • Experience writing production-level code.
  • Hands-on experience running chaos engineering drills and initiatives.

Interested in this position?

Apply directly on the company website

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