Staff Software Engineer, On-Prem
关于 CircleCI 工程的 CI/CD 已经解决了。现在它正在重新发明。人工智能代理人不仅运行管道。他们编写代码，触发构建，解释故障和提出修复。开发人员使用的界面来理解和相信工作还没有存在。我们在建造它们。在 Circle CI,我们的指导原则不是墙上的海报。我们快速学习：我们进行实验，接受失败，并扩展出效果。我们像客户一样认为：每一个决定都会连接到开发者坐在失败构建前2点钟。我们拥有结果：不仅是我们一片块，而是整个东西。如果你已经这样做了，你就在这里适合。公司在线团队为客户提供了 CircleCI Server,这是我们自主托管的 CI/CD 平台，用于需要运行所有内容的客户：监管产业，空中隙环境和具有严格数据居住和合规要求的团队。我们的使命是提供安全，高可用，安装，升级和支持方便的内部 Circle CI. 我们的团队服务于两个类型的客户 - - 运营服务器的组织和服务器内运输的 CircleCi 工程团队。除了产品本身之外，我们拥有工具和基础设施，使这些团队能够包装，测试并将他们的服务释放到服务器中并保持它们最新。作为一名工作人员工程师，你将关心内部发布经验与使服务器可靠和易于外部客户操作一样。你会做什么 · 建立人工智能原生地。人工智能是我们的工作方式。它不是在工程上的一层生产力，而是我们如何处理和解决问题的默认起点。· 为每个团队方便运输到服务器。拥有平台策略，为工具设定技术方向，测试基础设施以及释放自动化 CircleCI 团队使用来开发和维护服务器内的服务器。· 给客户安装，升级和运行 CircleCI Server 的信心。客户将在你永远不会看到的环境中运行服务器。让安装体验变得更简单，更可预测，升级更加安全，并从合理的默认操作开始更容易。· 拥有服务器的基础。你将负责所有内容，从 Kubernetes 服务器部署的基础设施到内部团队和客户所依赖的工具。
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About CircleCI Engineering
CI/CD has been solved. Now it's being reinvented. AI agents don't just run pipelines. They write code, trigger builds, interpret failures, and propose fixes. The interfaces that developers use to understand and trust that work don't exist yet. We're building them.
At CircleCI, our guiding principles aren't posters on a wall. We learn fast: we run experiments, accept failure, and scale what works. We think like the customer: every decision connects back to the developer sitting in front of a failing build at 2 am. We own the outcome: not just our slice of it, but the whole thing. If that's how you already work, you'll fit here.
About the On-Prem Team
The On-Prem team ships CircleCI Server, our self-hosted CI/CD platform for customers who need to run everything inside their own infrastructure: regulated industries, air-gapped environments, and teams with strict data residency and compliance requirements. Our mission is to deliver an on-premises CircleCI that is secure, highly available, and easy to install, upgrade, and support.
Our team serves two kinds of customers: the organizations that run Server, and the CircleCI engineering teams whose services ship inside it. Beyond the product itself, we own the tooling and infrastructure that let those teams package, test, and release their services into Server and keep them current. As a Staff Engineer here, you'll care as much about the internal release experience as about making Server reliable and easy to operate for external customers.
What You'll Do
- Build AI-natively. AI is how we work. It's not a productivity layer on top of engineering, but the default starting point for how we approach and solve problems.
- Make shipping into Server easy for every team. Own the platform strategy, setting the technical direction for the tooling, test infrastructure, and release automation that CircleCI teams use to develop and maintain their services inside Server.
- Give customers confidence installing, upgrading, and running CircleCI Server. Customers run Server in environments you'll never see. Make the install experience simpler and more predictable, upgrades safer, and day-to-day operation easier, starting with sensible defaults.
- Own Server's foundation. You'll be responsible for everything from the Kubernetes infrastructure Server deploys into, to the tooling internal teams and customers depend on. That responsibility extends past your own code to the systems and teams around it.
- Get operators from symptom to root cause fast. Standardize Server's observability on OpenTelemetry so it works with whatever platform each customer already runs. Build diagnostics that help operators, and the engineers supporting them, find the problem quickly. Partner with Support, Customer Engineering, and customers to find recurring issues and fix them at the source.
- Connect engineering to the business. Partner directly with Product and Engineering Management to translate business goals into technical strategy. You understand the "why" behind the roadmap and use it to make tradeoffs.
What You'll Bring
- A platform mindset. You default to building tools, frameworks, and systems that make other engineers more productive rather than solving each problem one-off. You've built internal platforms before and can talk about the leverage they created for the teams that used them.
- AI-native engineering practices. You use AI tools daily and can speak to what you've built, where they changed your approach, and where they fall short.
- Deep experience with Kubernetes and Helm. You've designed, deployed, and debugged production systems on Kubernetes. You know where the sharp edges are, especially in customer-operated environments (air-gapped, restricted network, unfamiliar cluster shapes).
- Strong backend and systems foundation. 8+ years building production backend and infrastructure systems, with a history of taking accountability for outcomes. Strong in Go, with real experience in API design, data modelling, distributed systems, and operational tooling.
- System design with business context. You make architecture decisions that span multiple systems and teams, weigh tradeoffs against business needs, and document your reasoning. You're the person others escalate to when the answer isn't obvious.
- Technical leadership. You mentor engineers, give direct feedback on technical direction, and raise the quality bar across teams through how you engage in reviews and design discussions, not just what you ship.
- Experience with on-premises or self-hosted software. You've shipped software that runs in someone else's environment (enterprise on-prem, self-hosted SaaS, or a distributed system installed by customers), and you understand how that constraint shapes your design choices, release process, and support model.
Sound Like You?
You believe the best platform work makes everyone else faster. You're energized by the challenge of building software that has to work in environments you can't see or control. You want to take a product customers depend on and make it dramatically easier to build, ship, and run, both for them and for the teams whose services live inside it. If that sounds like you, let's talk.
Canada Base Pay Range
$195,000—$265,000 CAD
Expected salary range for San Francisco and the surrounding area.
US SF Bay Area (Metro Zone 3)
$205,000—$285,000 USD
Expected salary range for specific metro areas including Boston, Washington DC, Denver, Los Angeles, New York, Portland, San Diego, and Seattle. These metro areas may change periodically.
US Metro Zone 2
$200,000—$275,000 USD
Expected pay range for all other US locations not falling into Metro Zone 3 or Metro Zone 2.
US General
$180,000—$250,000 USD
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
About CircleCI
CircleCI is the world’s largest continuous integration/continuous delivery (CI/CD) platform, and the hub where code moves from idea to delivery. As one of the most-used DevOps tools - processing more than 3 million jobs a day - CircleCI has unique access to data on how the most effective engineering teams work, and the tools to help software companies successfully leverage the power of AI into their commercial applications. Companies like Hinge, HuggingFace, and Samsung use us to improve engineering team productivity, release better products, and get to market faster.
Founded in 2011 and headquartered in downtown San Francisco with a global, remote workforce, CircleCI is venture-backed by Base10, Greenspring Associates, Eleven Prime, IVP, Sapphire Ventures, Top Tier Capital Partners, Baseline Ventures, Threshold
Ventures, Scale Venture Partners, Owl Rock Capital, Next Equity Partners, Heavybit, and Harrison Metal Capital.
CircleCI is an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.
How CircleCI Uses AI in Hiring
At CircleCI, people make our hiring decisions. We use technology to support our recruiting team so they can spend more time on what matters most: getting to know you.
Where we may use AI
- Job descriptions and messaging: AI may help draft job descriptions and role-specific messaging so they are clear and accurate.
- Application review: For some roles, we use an AI tool to review applications, including resumes and application responses, against criteria our hiring team sets for the role. The tool generates a fit score and summary to help recruiters organize and prioritize applications.
- Interview notes: With advance notice, an AI note-taking tool may join interviews to record, transcribe, and summarize the conversation. This lets interviewers focus on talking with you. You will be told before each interview, and you may opt out at any stage by letting your recruiter know. If you opt out, the tool will not join, and your candidacy is not affected.
- Outreach: AI may help draft candidate outreach and scheduling messages, which our team reviews before sending.
Our commitment
AI does not make hiring decisions at CircleCI. Our recruiters and hiring teams review candidates and make every decision to advance or reject an application. No candidate is rejected based solely on an AI score. We have tools and processes in place to test for bias and to review how these tools perform, and we adjust our approach as AI technology and the laws that govern it change.
Your choices
You can ask for human-only review of your application, opt out of AI interview note-taking, request an accommodation, or ask questions about how we use AI. Contact recruiting@circleci.com. For how we handle your data, including retention, see our Privacy Policy.