Customer Experience Engineer I/II

Harness is the AI Software Delivery Platform company, led by technologist and entrepreneur Jyoti Bansal (founder of AppDynamics, acquired by Cisco for $3.7B). Harness has raised approximately $570M in funding and is valued at $5.5B, backed by leading investors including Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, Citi Ventures, and more. As AI accelerates code creation, the real bottleneck has shifted to everything after the code – testing, deployments, application security, reliability, compliance, and cost optimization. Harness brings AI and automation to this “outer loop,” helping teams ship software faster while maintaining security and governance throughout the entire software delivery lifecycle. Powered by Harness AI and the Software Delivery Knowledge Graph, the Harness Platform applies deep context and intelligent automation across the software delivery lifecycle with governance and policy-driven controls embedded throughout the platform. Over the past year, Harness powered over 185M deployments, 82M builds, 18T flag evaluations, 8M security scans, 9.1B optimized tests, 3T protected API calls, and helped manage $2.8B in cloud spend — enabling customers like United Airlines, Morningstar, and Choice Hotels to accelerate releases by up to 75%, reduce cloud costs by up to 60%, and achieve 10x DevOps efficiency. With a global team across 26 offices and 27 countries, Harness is shaping the future of AI software delivery — and we’re looking for exceptional talent to help us move even faster. About the Role Join our Customer Engineering team, where you'll own complex, often ambiguous technical issues for enterprise customers, broken pipelines, deployment failures, connectivity problems, misconfigured infrastructure through to resolution, and feed what you learn back to Product and Engineering. This role works whether you're early in your career and want to get hands-on with real production systems fast, with mentorship built in or you're an experienced DevOps/SRE/platform engineer who wants direct customer impact without giving up hands-on coding. What You'll Do Own customer cases end-to-end on your team, triage, root-cause analysis, and resolution across Kubernetes, ECS, Docker, and AWS/GCP/Azure including occasional customer build engagements (~20–30% of time) where you'll shadow and co-build alongside a senior engineer. Contribute to customer-facing tooling and small product fixes alongside Product and Engineering, turning patterns from your casework into reusable diagnostics, dashboards, or bug fixes. Lead or actively participate in customer calls and screen shares, communicating findings clearly to both engineers and managers. Build internal scripts and diagnostic tools that speed up the team's casework, with growing exposure to our AI/LLM-powered internal tooling as that practice matures. Turn recurring patterns into run books, playbooks, and reusable templates for the broader team. What You Bring 2+ years in a customer-facing engineering, DevOps, SRE, or platform role or equivalent depth from internships, personal projects, or open-source work. Depth and curiosity matter more than years. Hands-on with Kubernetes, ECS, and Docker, plus at least one major cloud platform (AWS, GCP, or Azure). Solid grasp of CI/CD concepts and Linux/networking fundamentals. Scripting ability (Python, Node.js, Bash, or similar) and enough coding experience : coursework, projects, or professionals to read source code and make small, guided changes. Clear written and verbal communication comfortable driving a customer call and writing up findings for both engineers and managers. A fast learner, comfortable getting hands-on in unfamiliar systems. What You'll Grow Into This team gives you a runway most CXE II roles don't: Leading customer build engagements independently, as you build a track record beyond shadowing. Contributing more deeply to internal AI/LLM tooling as the