Senior Cloud Platform Engineer: Kubernetes, GCP & AWS

Supero.dev; San Francisco, Northern (CA, KY); Hybrid; USD 150,000 - 210,000; Full time

Job summary

Supero in San Francisco is seeking a Senior Cloud Platform Engineer to own the Kubernetes platform end-to-end. You will shape multi-cloud deployment patterns across AWS and GCP, manage the CI/CD lifecycle, and improve observability and cost awareness.

You’ll work with on-call challenges, build secure infrastructure, and implement IaC with Terraform and Python glue. The role emphasizes reliability, scalability, and boring deployments.

Qualifications

• 4+ years in cloud infrastructure, platform engineering or SRE, running production.
• Kubernetes past the tutorial — you can explain what you found during a 2am debugging session.
• AWS and/or GCP at depth, IAM included.
• Infrastructure as code, plus fluency in the shell and Python glue that real platforms are made of.
• CI/CD ownership and a bias toward making deploys boring.

Responsibilities

• Own the Kubernetes platform, including high-availability control plane, registry, deployment topology and manifests.
• Manage multi-cloud deploy paths across GCP and AWS with secure IAM handling.
• Develop preview and live environments with proper lifecycle separation and clear truth sources.
• Oversee CI/CD, release processes, image promotion, rollout and rollback.
• Improve observability and cost controls with meaningful alerts and scalable cloud billing.
• Maintain security posture covering secrets, network policy, TLS, CSP/CORS and tenant boundary.

Skills

Cloud infrastructure

Kubernetes expertise

SRE experience

CI/CD ownership

Shell scripting

Tools

AWS

GCP

Terraform

Datadog

Python (glue)

Job description

Supero in San Francisco is seeking a Senior Cloud Platform Engineer to own the Kubernetes platform end-to-end. You will shape multi-cloud deployment patterns across AWS and GCP, manage the CI/CD lifecycle, and improve observability and cost awareness.

You’ll work with on-call challenges, build secure infrastructure, and implement IaC with Terraform and Python glue. The role emphasizes reliability, scalability, and boring deployments.