Remote Staff Cloud Engineer | SRE, Kubernetes & AI-OPS

Harness

United States

Remote

USD 200,000 - 250,000

Full time

2 days ago

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Job summary

Harness, the AI Software Delivery Platform, seeks a Staff/Senior Cloud Engineer to design, build, and maintain scalable cloud infrastructure with a strong SRE mindset. You will work remotely within the United States, using AWS/GCP/Azure, Terraform, Helm, and Kubernetes to deliver reliable cloud services.

Ideal candidates have 7+ years of cloud/SRE experience, deep automation skills, and a passion for scalable systems and security.

Qualifications

7+ years of cloud engineering, site reliability engineering, or related roles.
Strong experience with cloud platforms (AWS, GCP, Azure) and cloud-native services.
Proficiency in infrastructure-as-code tools (Terraform), Helm package manager, and configuration management tools (Ansible, Chef, Puppet).
Experience with AI-OPS.

Responsibilities

Design, build, and manage scalable, secure, and reliable cloud infrastructure using GCP, AWS, or Azure.
Develop infrastructure-as-code using Terraform, CloudFormation, or similar.
Implement SRE practices to ensure reliability, availability, and performance of cloud services.
Develop and maintain monitoring, logging, and alerting systems to detect issues proactively.
Perform capacity planning to ensure scalability and performance.
Deploy, manage, and scale applications using Kubernetes (K8s).
Utilize Helm for packaging and deployment on Kubernetes.
Design and implement CI/CD pipelines to automate delivery of applications and infrastructure.
Develop automation scripts to streamline operations and improve efficiency.
Ensure cloud infrastructure and applications meet security and compliance standards.