Engineering Manager - CACM

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

Harness is looking for an Engineering Manager to lead our Cloud and AI Cost Management (CACM) team. This role is ideal for a technical leader who enjoys driving architecture, influencing engineering strategy, and delivering scalable cloud-native solutions while building a high-performing team. You will play a key role in shaping the technical direction of the CACM platform, partnering with engineers, architects, and product leaders to deliver innovative capabilities that help customers optimize and govern both cloud and AI infrastructure spend.

Technical Leadership & Architecture

• Drive the technical vision and architecture for the Cloud and AI Cost Management platform, ensuring scalability, reliability, and maintainability.

• Lead technical design discussions and provide architectural guidance for distributed systems built with Java, Go, Kubernetes, AWS, and GCP.