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Senior Software Engineer - Cloud Cost Management

Harness, Inc.Bengaluru, Karnataka, India
On-site Full-time

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Experience Level

Senior

Qualifications

We are looking for candidates with a strong background in software engineering, particularly in developing scalable systems and working with cloud technologies. Proficiency in programming languages such as Java, Python, or Go is essential. Experience with cloud platforms like AWS, Azure, or Google Cloud is highly desirable. A solid understanding of algorithms, data structures, and design patterns is critical. If you are passionate about leveraging AI to solve complex problems and improve software delivery processes, we encourage you to apply.

About the job

Harness is revolutionizing the software delivery landscape with its AI-driven platform, founded by the visionary technologist Jyoti Bansal, who previously established AppDynamics, later acquired by Cisco for a staggering $3.7 billion. With approximately $570 million raised in funding and a current valuation of $5.5 billion, Harness is supported by prominent investors such as Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, and Citi Ventures, among others. As AI technology accelerates code generation, the real challenges now lie in the post-coding stages — including testing, deployments, application security, reliability, compliance, and cost efficiency. Harness addresses these challenges by integrating AI and automation into the software delivery process, enabling teams to deploy software more swiftly while ensuring security and governance at every stage of the software lifecycle.

The Harness Platform, powered by Harness AI and the Software Delivery Knowledge Graph, utilizes deep context and intelligent automation across the software delivery lifecycle, embedding governance and policy-driven controls throughout. In the past year alone, Harness facilitated over 185 million deployments, 82 million builds, conducted 18 trillion flag evaluations, performed 8 million security scans, optimized 9.1 billion tests, and safeguarded 3 trillion API calls, effectively managing $2.8 billion in cloud expenditure. Our partnerships with industry leaders like United Airlines, Morningstar, and Choice Hotels have enabled these organizations to accelerate their release cycles by up to 75%, decrease cloud costs by up to 60%, and achieve tenfold improvements in DevOps efficiency.

With a global workforce spanning 14 offices in 25 countries, Harness is at the forefront of shaping the future of AI software delivery, and we are eager to find outstanding talent to help us accelerate our mission further.

Our Mission: Why Harness Cloud Cost Management?

In today's enterprises, cloud expenses represent the second-largest budget item, yet many organizations still rely on spreadsheets and manual estimations for management. Harness Cloud Cost Management (CCM) is set to transform this process. We don’t merely report on costs; we automate the savings.

The Commitment Orchestrator is our flagship feature — an intelligent engine that autonomously manages millions of dollars in AWS Reserved Instances (RIs) and Savings Plans. By employing an "Atomization Strategy", we break large, rigid commitments into smaller, more flexible units that renew on a continuous basis, providing customers with savings of up to 70% without any manual intervention.

Position Summary

As a Senior Software Engineer, you will play a key role in enhancing our Predictive Orchestration engine. This position goes beyond conventional CRUD APIs; you will be tasked with developing and scaling a system that comprehensively understands the intricacies of cloud billing. You'll create models that predict workload trends and implement logic for critical real-time buy/sell/exchange recommendations across AWS, Azure, and Google Cloud.

About Harness, Inc.

Harness, Inc. is a leading AI Software Delivery Platform that is transforming how software is delivered in a cloud-centric world. Founded by industry expert Jyoti Bansal, we leverage cutting-edge technology and deep industry insights to optimize cloud costs and enhance software delivery efficiency.

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