Forward Deployed Engineer; Implementation Engineering

Harness is the AI Software Delivery Platform company, led by technologist and entrepreneur Jyoti Bansal (founder of App Dynamics, 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 Dev Ops 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.

Forward Deployed Engineers work embedded inside enterprise engineering teams to design and build AI-native automation on the Harness platform. This is a hands‑on, code‑first role. You will write production code and scripts, build production pipelines, and connect Harness AI Agents into a customer's existing systems, staying engaged until the capability is live in production. You will work directly alongside customer engineers, turning business objectives into working software rather than documentation or advice.

• Embed inside a customer's engineering organization for the length of a build engagement to design and build agent‑driven automation across the software delivery lifecycle.
• Write production code connecting Harness AI Agents to a customer's pipelines, repositories, ITSM tooling, security systems, and infrastructure.
• Partner directly with customer engineering stakeholders and the broader Harness delivery team to translate an approved plan into working software.
• Prototype quickly, ship incrementally, and iterate directly with customer engineers rather than handing off a static design document.
• Turn what you build into reusable patterns and share them with the broader Harness delivery organization.
• Bring direct feedback to Harness product and engineering teams based on what you learn building in real customer environments.
• Support the transition from custom build to steady‑state operation so the customer can independently operate and extend what you built.
• What Success Looks Like:
  • A working, production agent integration lives in the customer's environment by the end of the engagement.
  • A reusable pattern or template captured in the Solutions Factory as a direct result of the build.
  • Customer engineering stakeholders are able to operate and extend the integration without an ongoing Forward Deployed Engineer presence.
  • Healthy, ongoing customer adoption of the Harness platform and AI Agents beyond the specific build, achieved by working closely with the customer throughout the engagement rather than handing off at go‑live.

• A platform engineering or software engineering background, with hands‑on coding, scripting, and integration ability, not configuration‑only…