Remote Customer Experience Engineer - DevOps AI

Sway; Northern (KY); Hybrid; USD 75,000 - 80,000; Full time

Benefits offered by this job

Competitive salary

Comprehensive healthcare benefits

Flexible Spending Account (FSA)

Flexible work schedule

Employee Assistance Program (EAP)

Flexible Time Off and Parental Leave

Monthly social events

Monthly internet reimbursement

Job summary

Harness is seeking a Customer Experience Engineer to join our Customer Engineering team. This remote role combines community-level front-end support with a highly technical DevOps focus, helping enterprise and PLG customers troubleshoot issues across cloud technologies.

You'll work with Terraform, Kubernetes, and cloud platforms, read logs and sometimes source code to resolve problems, and contribute to internal tooling and automation to improve efficiency and issue resolution.

Qualifications

• 1–3 years in Technical Support Engineering or similar role.
• Experience with at least one major cloud platform (AWS/Azure/GCP).
• Familiarity with Git, Bitbucket, and repository workflows.
• Experience troubleshooting with customers and product issues.
• Familiarity with Linux, networking, and distributed systems.
• Strong written and verbal communication skills.

Responsibilities

• Troubleshoot Tier Three issues for Community and PLG customers.
• Investigate deployment failures and infrastructure configuration.
• Participate in video calls, screen sharing, remote debugging.
• Analyze logs and metrics to identify root causes.
• Read source code to understand product behavior.
• Document findings and resolutions to improve processes.
• Engage with enterprise customers during troubleshooting and implementation.
• Help maintain internal tooling and automation.

Tools

Kubernetes

Docker

Terraform

Pulumi

CloudFormation

Vault

Job description

Harness is seeking a Customer Experience Engineer to join our Customer Engineering team. This remote role combines community-level front-end support with a highly technical DevOps focus, helping enterprise and PLG customers troubleshoot issues across cloud technologies.

You'll work with Terraform, Kubernetes, and cloud platforms, read logs and sometimes source code to resolve problems, and contribute to internal tooling and automation to improve efficiency and issue resolution.