Cloud Infra Engineer — AI-Driven Observability

Snowflake

Menlo Park (CA)

On-site

USD 160,000 - 230,000

Full time

14 days+
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Benefits offered by this job

Bonus & equity
Competitive benefits

Job summary

Snowflake Observe by Snowflake seeks an experienced Infrastructure Engineer to design, build, and operate scalable cloud infrastructure on AWS for a high-scale observability platform.

You will improve reliability, deploy CI/CD pipelines, and collaborate across engineering teams to ensure infrastructure supports evolving product needs, with emphasis on automation, security, and production readiness.

Qualifications

  • 2+ years of experience in Infrastructure Engineering, SRE, DevOps or related roles.
  • Experience operating Kubernetes clusters in production.
  • Hands-on experience with IaC tools such as Terraform or Ansible.
  • Strong programming skills in Go or Python for automation and systems development.
  • Experience supporting production systems at scale with focus on reliability.
  • Experience with AWS, GCP and Azure.

Responsibilities

  • Design, build, and operate scalable cloud infrastructure in AWS for a high-scale observability platform.
  • Improve system reliability, performance, and observability across environments.
  • Develop and maintain CI/CD pipelines and internal tooling to boost productivity and safety.
  • Identify and mitigate security risks and maintain security standards and compliance.
  • Build infrastructure for high availability, scalability, and resilience.
  • Participate in on-call rotation and contribute to incident response and improvements.
  • Collaborate with engineering teams to support evolving product needs.

Skills

Infrastructure Engineering
SRE/DevOps
Kubernetes
Terraform
Go or Python

Tools

Terraform
Ansible

Job description

Snowflake Observe by Snowflake seeks an experienced Infrastructure Engineer to design, build, and operate scalable cloud infrastructure on AWS for a high-scale observability platform.

You will improve reliability, deploy CI/CD pipelines, and collaborate across engineering teams to ensure infrastructure supports evolving product needs, with emphasis on automation, security, and production readiness.

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