Cloud Site Reliability Engineer

New

Skills

AWS Azure Cloud Engineer Gcp Go Helm Infrastructure as code Python Terraform

At Zapier, we empower millions of businesses worldwide by delivering powerful automation and AI solutions. As a Cloud Site Reliability Engineer, you will drive the performance, reliability, and automation of our cloud infrastructure. Collaborate with talented remote teams and leverage cutting-edge tools to build resilient systems that scale globally. Your work will directly enhance the experience of our customers and fuel their success as we continue to innovate and grow.

Job Overview
  • Design, deploy, and optimize AWS infrastructure using Terraform and Helm.
  • Contribute to Kubernetes (EKS) cluster governance and serverless functions (Lambda).
  • Implement site reliability engineering principles to improve application reliability.
  • Collaborate across teams to solve infrastructure challenges in a remote-first environment.
  • Participate in business hours on-call support and incident response.
Key Responsibilities
  • Manage and optimize cloud infrastructure for scalability and reliability.
  • Evaluate and recommend new technologies for infrastructure improvement.
  • Build services to integrate systems, process high-traffic workloads, and perform migrations.
  • Develop internal tools and new features to support teams and customer needs.
  • Document processes and share knowledge to foster team growth and collaboration.
Required Skills & Qualifications
  • Minimum 4 years of experience in cloud engineering or systems administration.
  • Proficiency with AWS, GCP, or Azure cloud platforms.
  • Experience with Infrastructure as Code tools such as Terraform and Helm.
  • Strong coding skills in Python, Go, or similar languages.
  • Hands-on experience with Kubernetes and serverless architectures.
  • Effective communicator with ability to document and share technical processes.
  • Alignment with Zapier’s values and collaborative remote work culture.
  • Fluency or willingness to learn AI tools for enhanced efficiency.
  • Strong problem-solving skills for complex system challenges.
  • Commitment to diversity, inclusion, and accessibility in the workplace.

Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: 12 Months

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