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.

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.

Harness In The News:

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex or national origin.

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Note on Fraudulent Recruiting/Offers

We have become aware that there may be fraudulent recruiting attempts being made by people posing as representatives of Harness. These scams may involve fake job postings, unsolicited emails, or messages claiming to be from our recruiters or hiring managers.

Please note, we do not ask for sensitive or financial information via chat, text, or social media, and any email communications will come from the domain @harness.io. Additionally, Harness will never ask for any payment, fee to be paid, or purchases to be made by a job applicant. All applicants are encouraged to apply directly to our open jobs via our website. Interviews are generally conducted via Zoom video conference unless the candidate requests other accommodations.

If you believe that you have been the target of an interview/offer scam by someone posing as a representative of Harness, please do not provide any personal or financial information and contact us immediately at . You can also find additional information about this type of scam and report any fraudulent employment offers via the Federal Trade Commission’s website (, or you can contact your local law enforcement agency.