Senior Cloud Platform Engineer & SRE — Hybrid (Kubernetes)

harnessinc; United States; Hybrid; USD 200,000 - 250,000; Full time

Benefits offered by this job

On-site or hybrid work

Salary range disclosed: $200,000-$250,

Mountain View or San Francisco work

Compensation range: $200k-$250k USD

Job summary

Harness Inc. in the United States is seeking a staff-level cloud platform engineer based in Mountain View or San Francisco to design, build, and operate reliable cloud systems that support a large software delivery platform.

The role emphasizes SRE practices, Kubernetes, Helm, IaC with Terraform or CloudFormation, and security/compliance work (ISO 27001, SOC 2, PCI DSS), with collaboration across product and operations teams and mentoring teammates.

Qualifications

• Strong coding background in Python or Go.
• Hands-on experience operating Kubernetes and cloud platforms.
• Familiar with CI/CD tooling and security best practices.

Responsibilities

• Design, build, and manage scalable, secure cloud infrastructure across major providers.
• Develop infrastructure-as-code with Terraform or CloudFormation.
• Apply SRE practices for reliability, monitoring, and incident response.
• Plan capacity and forecast demand to scale systems.
• Deploy and operate applications on Kubernetes using Helm.
• Design and maintain CI/CD pipelines automating delivery.
• Implement security best practices and support compliance (ISO 27001, SOC 2, PCI DSS).
• Collaborate with developers, product managers, and operations while mentoring teammates.

Skills

Python

Go

Git

Tools

Kubernetes

Helm

Terraform

CloudFormation

Jenkins

GitLab CI

CircleCI

Job description

Harness Inc. in the United States is seeking a staff-level cloud platform engineer based in Mountain View or San Francisco to design, build, and operate reliable cloud systems that support a large software delivery platform.

The role emphasizes SRE practices, Kubernetes, Helm, IaC with Terraform or CloudFormation, and security/compliance work (ISO 27001, SOC 2, PCI DSS), with collaboration across product and operations teams and mentoring teammates.