Staff Platform Engineer — Cloud Native Go & Kubernetes

Calendly

United States

On-site

USD 180,000 - 250,000

Full time

14 days+
Application generator

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Job summary

Calendly is seeking a Staff Platform Engineer to advance our infrastructure platform and empower product teams to operate Calendly services independently. You will join the Infrastructure leadership to drive the roadmap, shaping a self‑service platform and scalable cloud architectures.

The role emphasizes hands‑on Go development, Kubernetes‑native patterns, and collaboration with internal customers to deliver high‑quality cloud solutions. Remote‑friendly with US geography-aware pay ranges.

Qualifications

  • 10+ years of experience in cloud infrastructure and/or software development.
  • 4+ years of experience leading technical projects.
  • Strong Go (Golang) development experience for APIs.
  • Expert knowledge of Kubernetes patterns and Controllers/Operators.
  • Experience with cloud infrastructure (GCP) and reliability practices.
  • Willingness to participate in on-call rotation.

Responsibilities

  • Designing and building tools and applications to extend Calendly’s infrastructure platform.
  • Evaluating and guiding the development of applications across the organization.
  • Exercising deep expertise in cloud infrastructure concepts and patterns.
  • Offering and evangelizing patterns for application teams to consume for cloud native applications development.
  • Fostering a collaborative environment of learning and knowledge dissemination.

Skills

Go (Golang) development
Kubernetes API
Cloud infrastructure
Led technical projects
Datadog observability
On-call readiness

Tools

Temporal
Linux

Job description

Calendly is seeking a Staff Platform Engineer to advance our infrastructure platform and empower product teams to operate Calendly services independently. You will join the Infrastructure leadership to drive the roadmap, shaping a self‑service platform and scalable cloud architectures.

The role emphasizes hands‑on Go development, Kubernetes‑native patterns, and collaboration with internal customers to deliver high‑quality cloud solutions. Remote‑friendly with US geography-aware pay ranges.

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