We're humans who simply think computers should do more work.
At Zapier, we’re not just making software—we’re building a platform to help millions of businesses globally scale with automation and AI. Our mission is to make automation work for everyone by delivering products that delight our customers. You’ll collaborate with brilliant people, use the latest tools, and leverage the flexibility of remote work. Your work will directly fuel our customers’ success, and as they grow, so will you.
Job Posted: October 1st, 2026
Location: Remote, NAMER (West Coast)
Zapier’s Internal Platform provides engineers with a reliable, frictionless foundation for building, shipping, and operating software. Our Reliability Platform team owns observability, incident response, and service ownership, and we’re hiring a Site Reliability Engineer to help strengthen Zapier’s reliability posture.
We know we have a lot of competition for your skills. If you’re wondering what things would be like at Zapier, read on about:
This isn’t just an infrastructure or tooling role. We’re looking for an engineer who’s excited to get hands-on with Zapier’s reliability challenges. You’ll help improve how we observe our systems, detect and respond to incidents, and build the systems that make Zapier more resilient at scale.
You’re an experienced engineer with 4+ years in systems, infrastructure, or backend software roles (SaaS, cloud-native environments preferred).
You thrive writing production-grade code — in Go, Python, or something equivalent.
You’ve worked with infrastructure-as-code (Terraform, or equivalent), cloud (AWS), and container orchestration (Kubernetes).
You have hands-on experience with observability (metrics, logging, dashboards, alerts) and can reason about instrumentation and alert design.
You enjoy solving complex systems challenges and finding ways to improve performance and reliability.
You’re comfortable jumping into incidents, diagnosing across telemetry, coordinating with teams, and contributing to postmortems.
You think proactively about reducing toil and automating repetitive work.
You’re comfortable influencing peers by suggesting better practices, reviewing designs, and driving small cross-team improvements.
You communicate clearly—whether in async docs, real-time discussions, or knowledge sharing with the team.
You align with Zapier’s values and thrive in a collaborative, remote-first environment.
You approach new tools and ideas with curiosity and openness—especially around AI in reliability workflows. You’ve experimented with AI tools (or are eager to learn) and see them as part of your everyday toolkit.
Build and improve platform tooling that helps Zapier engineers observe and operate their services.
Partner with product teams to raise the bar on observability and incident response.
Operate and evolve core observability systems, including logging, metrics, alerting, and dashboards.
Participate in the team’s on-call rotation for owned services and contribute to Zapier’s broader incident response program by improving the processes, tooling, and practices we use to detect, respond, and learn.
Write code to automate operations, improve developer experience, and reduce manual toil.
Contribute to infrastructure reliability by working with AWS, Kubernetes, Terraform, and other core technologies.
Help shape observability and reliability best practices: review instrumentation designs, suggest improvements, and advocate for effective alerting.
Share knowledge through documentation, pairing, and mentoring.
Explore and pilot AI-augmented tools (e.g. debugging agents, alert correlation, query recommendations) to improve reliability workflows.
Cloud & Infra: AWS, Kubernetes, Redis, Kafka, Terraform
Observability: Grafana, Datadog, Opensearch, Prometheus, Sentry
Languages: Go, Python, TypeScript
CI/CD & Source Control: GitLab, ArgoCD
You deliver reliable, maintainable improvements to Zapier’s reliability systems and tooling.
You improve how teams detect and resolve incidents by enhancing observability, standardizing tooling and processes, and contributing to effective response workflows.
You help product teams gain confidence in their services by guiding them toward better instrumentation and visibility.
You influence observability and reliability practices across teams—promoting a thoughtful, customer-focused approach to monitoring, alerting, and design decisions.
You connect reliability work to customer impact, helping your team focus on the improvements that matter most.
You grow through feedback and reflection, while contributing to a healthy, inclusive team culture—supporting peers, mentoring, and creating space for diverse perspectives.
You explore AI tools with curiosity and introduce practical uses such as reducing noise, speeding up debugging, or guiding better operational decisions.
Compensation Range: $141K - $211.7K