Senior Platform Engineer - Cloud & Data Platforms (Remote)

Remote; San Francisco (CA); Remote; USD 210,000 - 260,000; Full time

Benefits offered by this job

Competitive salary

Annual performance bonus

Employee stock option plan

100% paid medical, dental, and vision

401(k) with employer contribution

Generous vacation and sick leave

Flexible work arrangements

High-quality equipment

Job summary

Terzo is seeking a Senior Platform Engineer to own and operate the foundational cloud infrastructure that powers our enterprise data platform. You will shape Azure-based environments, data pipelines, and deployment tooling, enabling product teams to move fast with reliability.

In this high-impact role, you’ll influence architecture, build scalable systems, and drive observability and incident response across the stack.

Qualifications

• 5+ years building and operating production cloud infrastructure at scale.
• Strong experience with infrastructure-as-code (Terraform) and Azure platform management.
• Solid understanding of container orchestration (Kubernetes, Docker) and modern deployment patterns.
• Experience building CI/CD pipelines and deployment automation.
• Observability systems including monitoring, alerting, logging, tracing.
• SRE focus: SLOs, capacity planning, incident response, automation to reduce toil.

Responsibilities

• Own and operate cloud infrastructure across Azure.
• Build and maintain data pipelines, compute orchestration, and deployment systems.
• Improve observability and incident response to ensure reliability at scale.

Skills

Cloud infrastructure

Kubernetes

CI/CD

Observability

SRE fundamentals

Distributed compute

Tools

Terraform

Azure

Job description

Terzo is seeking a Senior Platform Engineer to own and operate the foundational cloud infrastructure that powers our enterprise data platform. You will shape Azure-based environments, data pipelines, and deployment tooling, enabling product teams to move fast with reliability.

In this high-impact role, you’ll influence architecture, build scalable systems, and drive observability and incident response across the stack.