Platform Engineer, Iterable

• 2+ years of professional software or infrastructure, SRE experience
• Hands-on work with Kubernetes (and Docker) in production
• Deep experience with at least one cloud provider (AWS preferred) and Infrastructure-as-Code (Terraform, Helm, GitOps)
• Strong programming/scripting skills in Python, Go, or similar
• Experience using or supporting observability platforms (Datadog, Prometheus, Elastic, OpenTelemetry, etc.) in a production environment
• Familiarity with CI/CD pipelines and modern DevOps practices
• A growth mindset, humility, and a desire to elevate those around you
• Bachelor’s degree in CS/Engineering — or the equivalent real-world experience

Desirable

• At Iterable, the Observability team enables engineering teams to measure, diagnose, and improve system health
• We own and evolve Iterable’s monitoring, logging, tracing, and metrics platforms—turning raw telemetry into actionable insight
• As a Platform Engineer II – Observability on our tight-knit team, you’ll drive reliability by implementing modern monitoring, automation, and orchestration practices that keep our systems performing at their best
• Own the full observability stack (Datadog, Prometheus, Grafana, Elasticsearch, Quickwit, OpenTelemetry)—design, deploy, and scale it to support petabyte-scale telemetry
• Instrument and automate monitoring, logging, tracing, and metrics to ensure system visibility across 100+ services and multiple Kubernetes clusters
• Ship platform features—contribute code that boosts reliability, performance, and developer experience across Iterable
• Partner with engineering teams to improve instrumentation, refine dashboards/alerts, and embed observability into their SDLC
• Reduce MTTR & cost—design cost-effective telemetry pipelines and create high-signal, low-noise alerting strategies
• Participate in our on-call rotation that prioritizes recovery, postmortems, and continuous improvement