Staff Customer Engineer

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.

Position Summary

We are looking for Staff Software Engineer [ Customer Facing ] for our customer engineering team—it is a high-impact hybrid where hardcore DevOps/SRE problem-solving meets hands-on internal tooling and direct customer consulting.

You will troubleshoot complex, often ambiguous issues for enterprise customers across cloud and container environments—tackling broken pipelines, deployment failures, connectivity problems, and misconfigured infrastructure. You will own these issues end-to-end, acting as a trusted technical advisor to customer engineering teams, and feeding crucial findings back to our core Product and Engineering orgs..

But you won't just fix problems; you will build solutions. We put a heavy emphasis on internal development to make our entire team exponentially faster. You will engineer internal tools, diagnostic utilities, and playbooks. Crucially, you will help us build the future of our operations by developing internal AI tools on top of LLMs, training models on our own proprietary data to automate diagnostics and streamline workflows.

Please note that this is a highly customer-facing role. If you have an SRE or platform background, possess the coding chops to build robust tooling, and thrive when collaborating directly with customers on complex technical challenges, this role is a perfect fit.

About the role

Customer Tro