The Mission: Why Harness CCM?

Cloud spend is the second-largest line item for modern enterprises, yet most companies manage it using spreadsheets and manual guesswork. Harness Cloud Cost Management (CCM) is changing that. We don't just report costs; we automate the savings.

The Commitment Orchestrator is our "crown jewel." It’s an intelligent engine that manages millions of dollars in AWS Reserved Instances (RIs) and Savings Plans autonomously. We use an "Atomization Strategy" to break large, rigid commitments into smaller, fluid units that renew on a rolling basis—giving customers up to 70% savings with zero manual intervention.

Position Summary

As a Senior Software Engineer, you will be a core contributor to our Predictive Orchestration engine. This role goes beyond standard CRUD APIs; you will build and scale a system that deeply understands the "physics" of cloud billing. You will develop models that forecast workload trends and implement the logic for high-stakes buy/sell/exchange recommendations in real-time across AWS, Azure, and GCP.

What You Will Do

• Time-Series & Forecasting: Develop and refine models that process large-scale historical billing data to predict usage trends and anomalies with high precision.
• ML-Driven Implementation: Build the backend intelligence that calculates the optimal mix of Savings Plans vs. RIs. You will implement "break-even" logic and risk-modeling to prevent customer over-commitment.
• Cloud Instrument Integration: Deep-dive into cloud financial instruments (e.g., AWS Convertible RIs, Azure Reservations, GCP CUDs) and translate these complex rules into robust, maintainable code.
• Reliable Orchestration: Develop the "Executioner" service that programmatically interacts with cloud provider APIs to automate the purchase and exchange of commitments.
• Scalable Data Pipelines: Solve data ingestion challenges from AWS Cost & Usage Reports (CUR) and GCP BigQuery billing exports, ensuring high availability and performance under heavy load.

About You

• Experience: 4–6 years of experience developing scalable, distributed backend services (Golang preferred).
• Technical Proficiency: Strong background in building complex distributed systems and a solid understanding of Time-Series Analysis or Machine Learning pipelines.
• Cloud Proficiency: High "Cloud IQ"—you understand regional pricing variances, instance types, and the nuances of at least one major cloud provider (AWS/Azure/GCP).
• Execution-Focused: Proven ability to take a feature from a design doc to production, building state machines or workflow engines to manage external resource lifecycles.
• Collaborative Lead: You can take a complex requirement like "Optimize RI exchange logic" and break it down into actionable technical tasks for yourself and the team.

Bonus Points if You Have:

• Worked with FinOps teams or built internal cost-management tools at scale.
• Deep experience with AWS Billing APIs, Cost Explorer API, or AWS Organizations.

What you will have at Harness

• End-to-end ownership: You are the owner of a product that pays for itself ten times over for our customers.
• Work with the Best: Our leadership team (led by Jyoti Bansal) has a history of building multi-billion dollar technical powerhouses.
• Top-Tier Benefits: Competitive salary, equity, flexible work, and the tools you need to build great things.