Site Reliability Engineer, Zapier

• You’re experienced, but still growing
• You have 4+ years of experience in Site Reliability Engineering roles
• You’ve worked in production environments, solved real incidents, and shipped platform improvements—but you’re also eager to learn and grow alongside a thoughtful, distributed team
• You know the cloud—and how to keep it healthy
• You’re familiar with cloud-native architecture and services (we use AWS)
• You’ve helped teams build and maintain reliable workflows using tools like Terraform and you understand the tradeoffs behind infrastructure decisions
• You’re observability- and incident-driven
• You know how to detect issues before customers feel them
• You believe in rich metrics, structured logs, and smart alerting
• You’ve contributed to incident response processes and helped teams learn from failure
• You bring an automation- and AI-first mindset
• You’re not afraid to write code (Python, TypeScript, or Bash are all great) and believe deeply in Infrastructure as Code
• You lean into tools, automation, and AI to reduce toil, improve deployment confidence, and free up teams to focus on meaningful work
• You're are open to experimenting with AI tools to decrease toil and increase your impact
• You’re a strong communicator in a remote-first world
• You can clearly describe problems, propose solutions, and write clean documentation others can follow
• You’re comfortable collaborating asynchronously with cross-functional teams and support partners

Desirable

• In this role, you’ll work alongside our existing SRE to level up the reliability, observability, and operational maturity of the modern data stack that powers internal products and customer facing across Zapier
• From orchestrating workflows in Databricks to tuning performance in our data infrastructure, you’ll play a key role in keeping our data ecosystem healthy, scalable, and developer-friendly
• Level up reliability for our modern data stack – Help support and evolve our data platforms (including Databricks, Airflow and our LLMOps tooling) with reliability best practices and clear operational standards
• Improve observability and alerting – Partner with engineering teams to implement monitoring and alerting that supports ownership, reduces noise, and improves incident response metrics like MTTD (Mean Time to Detect) and MTTR (Mean Time to Resolve)
• Automate and optimize operations – Build and maintain infrastructure-as-code, job orchestration logic, and internal tooling that reduce manual intervention and improve system resilience
• Participate in on-call and incident response – Share in our on-call rotation (~one week per quarter) and work alongside others to improve postmortems, retrospectives, and mitigation strategies
• Contribute to security and compliance readiness – Help evolve our access controls, auditability, and deployment practices in support of growing needs like sensitive Data security compliance
• Be a partner, not a gatekeeper – Work closely with Data Engineers, ML Engineers, and Backend Engineers to ensure platforms are reliable and empowering to use

• Deadline to Apply:
• 29 June 2025 at 22:00 BST