Join us at ClericCleric is an AI-powered agent designed to manage and resolve issues in production environments autonomously. It uses an LLM-based reasoning engine to react to, interpret, and implement solutions to production issues, even those it's encountering for the first time.
We are building a future where engineers are freed up to focus on software development while Cleric takes care of the production environment. Our mission is to develop autonomous software that can manage, repair, and optimize itself — the holy grail.
Now is a divine time to join. We're a small group of veterans in AI, software, and infrastructure, backed by a leading AI venture capital firm and Silicon Valley angels.
About the roleWe're hiring a Senior Software Engineer to focus on our core platform. You will drive the development of the critical infrastructure and systems that power our AI agent. Your work will encompass a wide range of areas including backend services, APIs, observability, automated testing, tool integrations, and infrastructure management. You'll help keep engineering standards high, define the experience for our earliest customers, and help lay the technical foundation for our company.
Ideally, these qualities describe youYou love building tools for fellow engineers. You consider it a craft.
You have strong software engineering fundamentals and have opinions on how to build robust, scalable, and secure software.
You've operated high-scale distributed infrastructure. You've seen it done right, and you've seen it gone wrong. Kubernetes, Kafka, Spark, microservices, and all the usual suspects.
You have experience building systems in high performance languages like Rust, C++, Go, Kotlin, or Scala.
You're a strong proponent of DevOps practices, continuous integration, continuous development and automated testing.
You're interested in AI and machine learning, even if it's not your primary expertise.
You likely have 5 or more years of experience.
Examples of what you'll doDesign and implement core backend services that support our AI agent's operations.
Develop and maintain APIs for internal and external integrations.
Build robust observability and monitoring solutions to ensure the reliability of our systems.
Implement automated testing frameworks to maintain high code quality and prevent regressions.
Optimize our infrastructure for performance, scalability, and cost-efficiency.
Collaborate with the AI team to integrate and support AI capabilities within our core platform.
Help us iterate toward product-market fit in an early-stage, open-ended environment.
Contribute to the design and implementation of our CI/CD pipelines.
How we workSmall teams, big impact: We believe that small teams can deliver great products.
Culture matters: We value a positive and inclusive work environment.
In-person collaboration: We believe in working closely to deliver the best results.
AI-first approach: We don't simply build AI products; we augment ourselves with it.
Interview processScreen: A quick chat with one of the founders.
Technical assessment (1 hour): We'll deep dive into your experience with distributed systems, API design, and software architecture.
Software engineering session (1 hour): We'll build a simple application together. Think practical software engineering and not leetcode.
System design session (1 hour): We will work through a system design problem with you. This will be related to the work you do daily.
Food: Grab lunch or dinner with us! We'll talk about team culture, your motivations and get into any deep questions you have.
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