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.
This is a hybrid role in Frankfurt, Germany
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 [email protected]. You can also find additional information about this type of scam and report any fraudulent employment offers via the Federal Trade Commission’s website (https://consumer.ftc.gov/articles/job-scams), or you can contact your local law enforcement agency.
Harness provides a platform for automated software delivery and cloud cost management. It focuses on CI/CD, helping teams integrate code, deploy to production, run tests, and monitor applications through automated pipelines. It also offers a Cloud Cost Management tool that detects and stops cost anomalies in real time to optimize cloud spending. The self-managed Enterprise edition can be installed on a customer’s Kubernetes cluster. What sets Harness apart is its combination of intelligent automation across the software delivery lifecycle with real-time cloud cost control, plus an enterprise-grade, flexible deployment model. Its goal is to help organizations deliver software faster and more reliably while keeping cloud costs under control.
Company Size
1,001-5,000
Company Stage
Series E
Total Funding
$805M
Headquarters
San Francisco, California
Founded
2017
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Harness launches AI Budgets for Cost Management. Harness has introduced AI Budgets, a feature in its Cost Management Agent designed to help organizations monitor and enforce limits on artificial intelligence spending. The company said many organizations have established AI cost policies but lack a way to determine whether those policies are being followed. Harness cited its 2026 State of AI in FinOps Report, which found that 73% of organizations have an AI cost policy, while 13% can tell whether it is working. AI Budgets allows organizations to set spending limits by team, developer, model or project. The feature is intended to track spending as it occurs, issue alerts when thresholds are reached and pause access when spending exceeds an approved level. The product operates through the Harness Cost Management Agent, which attributes cloud, AI and engineering costs to owners and reasons for spending. Harness said the system records warnings, blocks and approved budget increases in an immutable audit trail. Those records can be exported for reviews and compliance programs including SOC 2 and ISO 27001. The feature uses a weekly budget cycle rather than a monthly one. Harness said a monthly limit can allow a team to consume most of its planned spending early in the month, while a weekly reset provides faster feedback and limits the cost of a breach. Under the policy structure, users receive a warning when spending reaches 90% of a budget. The warning does not restrict access. Once spending exceeds 100% of the weekly limit, access is paused until the next reset or until an increase is approved. Users can request budget increases within the product instead of submitting a ticket. Smaller requests can be approved quickly, while larger increases are routed to authorized approvers, according to Harness. Enforcing spending limits. Before a budget is activated, the Cost Management Agent tracks AI spending by user, provider, model and token type. It also presents cost per million tokens as a measure of efficiency. Harness said total spend indicates how much AI was used, while cost per million tokens can show whether a team selected an appropriate model for a task. The system provides detail on input, output, cached and reasoning tokens. Harness said this is intended to identify cost drivers such as cache behavior that may not be visible in a monthly spending total. The AI-native software delivery platform AI Budgets supports cost and usage data from multiple AI providers in one view. The company said this is intended to reduce the need for teams to review separate provider dashboards. Harness said the product is aimed at FinOps practitioners and engineering leaders. For FinOps teams, the feature is intended to enforce existing spending policies without requiring manual review of every exception. For engineering leaders, it is positioned as a way to expand AI use while maintaining spending limits. Reducing AI costs. The company said it tested the feature on its own AI tooling bill before opening early access. During that test, average weekly AI spending per developer fell from $184 to $115, a reduction of about 37%. Cost per million tokens remained near $1.80 through most of June and July, then fell to $0.80 during the week governance was introduced, a decline of about 55%. AI Budgets uses the same budget and policy engine that the Cost Management Agent uses for cloud spending. Organizations that already use Harness for cloud budgets, alerts and approvals can apply the same framework to AI spending. The policy engine also connects to Harness's Software Delivery Agent. A deployment that would exceed a budget can be paused before the related spending occurs, according to the company. AI Budgets is available now within the Harness Cost Management Agent. Harness said the service is intended to shift AI cost policies from written guidance to limits that organizations can monitor and enforce. SD Times Q&A. How does Harness AI Budgets enforce AI spending limits? Harness AI Budgets sets weekly spending limits by team, developer, model, or project. Users receive a warning at 90% of the budget threshold without access restriction. Once spending exceeds 100% of the weekly limit, access is paused until the next weekly reset or until an authorized approver grants a budget increase. Why does Harness AI Budgets use weekly budget cycles instead of monthly? A monthly budget cycle can allow a team to consume most of its planned spending early in the month before any corrective action is possible. A weekly reset provides faster feedback and limits the financial impact of a spending breach, giving FinOps and engineering teams tighter control. What AI providers does Harness AI Budgets support? Harness AI Budgets aggregates cost and usage data from multiple AI providers into a single view. The article does not name specific providers, but the feature is designed to eliminate the need to review separate provider dashboards. Editors should confirm the supported provider list with Harness directly. Does Harness AI Budgets integrate with CI/CD pipelines or software delivery workflows? Yes. The policy engine connects to the Harness Software Delivery Agent, allowing a deployment that would exceed a budget to be paused before the associated AI spending occurs. Organizations already using Harness for cloud budgets and approvals can apply the same framework to AI spending. What compliance standards does Harness AI Budgets support for AI cost auditing? Harness AI Budgets records warnings, blocks, and approved budget increases in an immutable audit trail. Those records can be exported to support compliance programs including SOC 2 and ISO 27001. About david Rubinstein. David Rubinstein is editor-in-chief of SD Times.
Harness buys Augment Code assets to launch Cosmos AI coding platform. Harness just added an AI coding layer to its DevOps platform. The company acquired select assets from Augment Code and used them to build the Harness Cosmos Software Factory. Get Free Daily Insights to Stay Ahead in Your Entrepreneurial Journey. Table of Contents What Harness got. The acquired assets include Cosmos, a set of AI coding agents, an Auggie command line interface, and a Code Context Engine. These components now form the foundation of the new Software Factory offering inside the Harness portfolio. The stated goal. According to Harness CEO Jyoti Bansal, the overall goal is to give DevOps teams an integrated set of tools that spans the entire software development lifecycle. The Cosmos acquisition fills the AI coding gap in that stack. Teams will have the option to deploy the Harness Cosmos Software Factory or continue using other AI coding tools. Harness is positioning this as an addition to its portfolio, not a forced migration. Why it matters. For DevOps teams already inside the Harness ecosystem, a native AI coding agent with a CLI and a context engine means fewer context switches between tools. Whether it competes meaningfully with standalone AI coding assistants depends on how tightly it integrates with the rest of the Harness SDLC toolchain. Cagri Sarigoz ( Founder) I'm founder of BizStack at Cagri Sarigoz LLC and a passionate advocate for entrepreneurs. With over 14 years in tech, marketing, and AI, including my role as Head of SEO at CitizenShipper and co-founder of TaleBot at Intale AI, I'm dedicated to sharing genuine, useful product insights and tips. At BizStack, I aim to cut through the digital noise to provide clear, actionable advice. And more than all else, I'm a father to a (always) little girl and a husband. Contact me at [email protected] for assistance.
Harness acquires Augment Code assets to advanced autonomous SDLC. Harness today announced that it has acquired select Augment Code assets, including Cosmos and the Auggie CLI products, the Code Context Engine, and related technology. Cosmos, Augment Code's software factory, was built to run fleets of autonomous agents that handle repetitive tasks such as code review, ticket assignments, incident investigations and more, under the watch of software engineers. Those capabilities will be joined by Harness' own agents for software delivery, security testing and runtime protection and cost management, to create what will become the Harness Cosmos Software Factory. The goal, Harness wrote in its announcement, is to automate engineering work "from idea to code." Meanwhile, Harness is tying Connecting Augment's Code Context Engine with Harness's Software Delivery Knowledge Graph to provide observability and insight across the SDLC. Pairing understanding of the code with delivery context helps Harness make change decisions up front while agents "can use downstream findings to correct and verify them," Harness wrote. "AI's impact on software will not be measured by how much code it generates, but by how much valuable software reaches customers," said Jyoti Bansal, founder and CEO of Harness. The AI-native software delivery platform "Augment Code built Cosmos to create a software factory for repeatable engineering work. With this acquisition, we are bringing code context together with delivery and production context to help agents make better changes from the start. When Harness downstream agents identify an issue while testing, securing, or deploying code, they send it back to Cosmos with the context to fix it." Auggie CLI enables users to put Augment's agent and context engine directly into an engineer's terminal, either in an interactive terminal session or in any part of the development stack. Shared context from code to production. The asset acquisition, the company wrote, further builds out the Harness platform for automating engineeing work: * * Software Delivery Agent moves changes safely to production * Security Testing Agent finds and fixes risk before production * Runtime Protection Agent protects applications, APIs, and AI in production * Cost Management Agent controls and optimizes cloud and AI cost. SD Times Q&A. What did Harness acquire from Augment Code? Harness acquired select assets from Augment Code, including the Cosmos software factory, the Auggie CLI, and the Code Context Engine. These assets are being integrated into the Harness platform to automate engineering work across the full software development lifecycle. The acquisition does not appear to include the entire Augment Code company. What is Harness Cosmos Software Factory? Harness Cosmos Software Factory is the combined product resulting from integrating Augment Code's Cosmos platform with Harness's existing autonomous agents. It runs fleets of autonomous agents that handle repetitive engineering tasks such as code review, ticket assignments, and incident investigations, under human oversight. Harness's agents for software delivery, security testing, runtime protection, and cost management are also part of the factory. How does Harness use the Code Context Engine from Augment Code? Harness is connecting Augment Code's Code Context Engine with its own Software Delivery Knowledge Graph to provide observability and insight across the SDLC. This pairing allows agents to make better code change decisions upfront, and downstream agents can send findings back to Cosmos with context to fix and verify issues during testing, securing, or deploying code. What does Auggie CLI do in the Harness platform? Auggie CLI enables software engineers to access Augment Code's agent and Code Context Engine directly from a terminal. It supports both interactive terminal sessions and integration into any part of the development stack, giving developers agent-assisted capabilities at the command line. What autonomous agents does Harness offer for the SDLC? Following the Augment Code asset acquisition, Harness offers four autonomous agents: a Software Delivery Agent for safely moving changes to production, a Security Testing Agent for finding and fixing risks before production, a Runtime Protection Agent for protecting applications, APIs, and AI in production, and a Cost Management Agent for controlling cloud and AI spend. About david Rubinstein. David Rubinstein is editor-in-chief of SD Times.
Harness buys select assets of Augment Code to automate software coding. The acquisition brings Augment Code's Cosmos and Auggie CLI products into Harness, strengthening its push towards autonomous coding, testing, security and software deployment. Jyoti Bansal, Founder and Chief Executive Officer, Harness Artificial Intelligence (AI) software delivery platform Harness Inc has bought select assets of AI coding platform Augment Code for an undisclosed amount. This will give the autonomous software development life cycle (SDLC) platform greater control over how machines write code. The deal includes Augment's Cosmos, Auggie CLI products, the code context engine, and related technology. The teams behind these products will join Harness, accelerating its work to make the entire software development lifecycle increasingly autonomous. "With this acquisition, we are extending into the coding cycle. If you have the right context when writing code, you can produce safer and more secure code from the start. Because Harness runs processes across testing, security, compliance, and governance, we have context about how an organisation operates. Bringing that context into coding can improve the code before it reaches later checks," Harness Founder and Chief Executive Officer (CEO) Jyoti Bansal told Business Standard in an interaction. Bansal, well known as the founder of business software company AppDynamics which Cisco bought for about $3.7 billion in 2017, explained his goal is an autonomous SDLC from idea to production. The company, headquartered in San Francisco, is valued at $5.5 billion after its 2025 Series E fundraise of $240 million. "That is what bringing Augment Code into Harness extends. Augment Code has a product called Cosmos, a software factory. An idea or ticket comes in, and a set of agents turns it into code. A developer is brought into the loop when needed. We plan to bring the Cosmos software factory into the Harness platform so the process can run end to end," he added. Harness focuses on the bottlenecks that arise after codes are written. While machines have started generating millions of lines of codes across enterprises, they still have to be checked and tested by humans for guardrails, quality controls, and security to fix vulnerabilities. It thus brings AI to testing, deployment, security, compliance, and cost optimization, which can account for 70-80 per cent of the time after code is written. Asked about the reason for the acquisition, Bansal said agents are only as good as the context they receive. "When coding context is combined with data from testing, security, compliance, and incidents, the AI can write better code from the start. Code may otherwise fail later because of quality or security issues. Bringing that context in earlier is the biggest advantage of connecting the two more closely," he said. Harness, whose clients include Citibank, United Airlines, and PayPal, expects to touch cumulative revenue of about $400 million by the end of 2026, with banking, financial services, and insurance (BFSI) contributing almost 30 per cent. The company has 1,300 people globally, with 500 in India. "We set out to bring AI to the entire SDLC, starting with context-aware coding," said Igor Ostrovsky, cofounder and chief technology officer (CTO) of Augment Code. "Joining Harness is the next step towards that vision. Together, we can make engineering work increasingly autonomous, with engineers stepping in only where judgment really matters," he said.
Harness has acquired select assets from Augment Code, including Cosmos and the Auggie CLI products, along with the Code Context Engine technology. The Augment Code team will join Harness to accelerate development of its Autonomous SDLC Platform. Cosmos will become the Harness Cosmos Software Factory Agent, automating engineering work from idea to code. It uses AI agents to plan changes, write code and tests, and open pull requests. Harness's existing agents then handle software delivery, security testing, runtime protection, and cost management. The acquisition connects Augment's Code Context Engine with Harness's Software Delivery Knowledge Graph, providing insights across the full software development lifecycle. This integration allows agents to understand both what is being built and what happens after deployment. Harness Cosmos is now available on the Harness platform.