Customer Experience Engineer I/II

LinuxCareers; United States; In loco; USD 90.000 - 130.000; Tempo pieno

Vantaggi offerti da questo lavoro

Competitive salary

Healthcare benefits

Flexible Spending Account (FSA)

Flexible time off

Employee Assistance Program (EAP)

Internet reimbursement

Team events

Descrizione del lavoro

Harness seeks a Customer Experience Engineer to own complex issues for enterprise customers, from pipelines to infrastructure misconfigurations, and relay learnings to Product and Engineering teams.

You will triage, diagnose, and resolve in Kubernetes, ECS, Docker, and AWS/GCP/Azure environments while contributing to tooling and runbooks for the broader team.

Competenze

• 2+ years in a customer-facing engineering or platform role.
• Hands-on experience with Kubernetes, ECS, and Docker.
• Experience with at least one major cloud platform (AWS, GCP, or Azure).
• Solid understanding of CI/CD concepts and Linux networking.
• Scripting in Python, Node.js, or Bash and reading/modifying code.
• Strong written and verbal communication; comfortable with customer calls and documenting findings.

Mansioni

• Own customer cases end-to-end: triage, root-cause analysis, and resolution.
• Participate in customer build engagements and shadow senior engineers.
• Contribute to customer-facing tooling and small product fixes.
• Lead or participate in customer calls and screen shares; communicate findings clearly.
• Build internal scripts and diagnostic tools to accelerate casework, including AI-powered tooling.
• Develop runbooks, playbooks, and reusable templates for the team.

Conoscenze

Kubernetes

ECS

Docker

CI/CD

Python

Node.js

Bash

Linux networking

Communication

Strumenti

Observability tooling

IaC tooling

Descrizione del lavoro

Harness is an AI-powered Software Delivery Platform company that helps enterprises automate testing, deployments, security, and compliance. This Customer Experience Engineer role involves owning complex technical issues for enterprise customers—from broken pipelines and deployment failures to infrastructure misconfiguration—and feeding learnings back to Product and Engineering teams.

What You'll Do

• Own customer cases end-to-end: triage, root-cause analysis, and resolution across Kubernetes, ECS, Docker, and AWS/GCP/Azure environments
• Participate in customer build engagements (approximately 20–30% of time) shadowing and co-building alongside senior engineers
• Contribute to customer-facing tooling and small product fixes, converting patterns from casework into reusable diagnostics, dashboards, or bug fixes
• Lead or actively participate in customer calls and screen shares, communicating technical findings clearly to both engineers and non-technical stakeholders
• Build internal scripts and diagnostic tools to accelerate team casework, including exposure to AI/LLM-powered internal tooling
• Develop runbooks, playbooks, and reusable templates from recurring patterns for the broader team

What You Need

• 2+ years in a customer-facing engineering, DevOps, SRE, or platform role, or equivalent depth from internships, personal projects, or open-source work
• Hands-on experience with Kubernetes, ECS, and Docker
• Experience with at least one major cloud platform (AWS, GCP, or Azure)
• Solid understanding of CI/CD concepts and Linux/networking fundamentals
• Scripting ability in Python, Node.js, Bash, or similar languages; ability to read source code and make small, guided changes
• Clear written and verbal communication skills; comfort driving customer calls and documenting findings for both technical and non-technical audiences

Nice to Have

• Observability tooling experience
• Infrastructure-as-Code expertise
• AI agents/MCP knowledge
• Secrets management experience

• Competitive salary
• comprehensive healthcare benefits
• Flexible Spending Account (FSA)
• flexible work schedule
• Employee Assistance Program (EAP)
• flexible time off and parental leave
• monthly internet reimbursement
• monthly/quarterly/annual social and team building events