Software Engineer, Product

Join us at Cleric

We’re building a future where engineers are focused on designing and building products, freeing them from operational toil. We’re starting with an AI-powered SRE agent that remediates 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.

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. Our product is in production at high-scale technology companies in fintech, ride-hailing, and autonomous vehicles.

About the role

As a Software Engineer, Product at Cleric, you'll build the core product features that power our AI agent's interactions with users and systems. You'll work across the full stack to develop the interfaces, APIs, and backend services that enable our agent to execute workflows and solve customer problems. This role combines hands-on engineering with direct customer interaction to ensure we're building the right solutions for real production environments.

About you

You are an experienced software engineer who thrives on building scalable, high-performance tools for fellow engineers. You have strong software engineering fundamentals and know how to build robust, secure systems. You understand the intricacies of high-scale distributed systems and have hands-on experience with Kubernetes, Kafka, and microservices. You value the importance of clean, maintainable code and can work across the stack, from frontend to backend.

You have:

• 5+ years of experience as a software engineer

• Proficiency in Python, with a strong understanding of the Python ecosystem

• Experience with frontend technologies like React, HTML, and CSS

• A solid grasp of DevOps practices, including CI/CD and automated testing

• A deep understanding of distributed systems, including Kubernetes and microservices

• Experience building secure, scalable, and resilient software systems

• An interest in AI and machine learning, even if it’s not your primary focus

Nice to have:

• Familiarity with tools like Kafka or similar event-driven architectures

• Experience in AI or machine learning applications

• Previous work experience in a startup environment

Examples of what you’ll do

• Collaborate closely with early customers to gather requirements and translate them into product features.

• Design and implement intuitive, responsive user interfaces for complex data visualization and system management.

• Develop end-to-end product features that span frontend to backend to support our AI agent's functionality and user interactions.

• Partner with our AI team to ensure our architecture supports and enhances our agent's capabilities.

• Expand our agent's functionality by integrating new tools and improving our evaluation systems.

• Maintain and enhance our continuous deployment pipeline, ensuring good test coverage to give us confidence to do daily releases.

How we work

• Small teams, big impact: We believe that small teams can deliver great products.

• Culture matters: We value radical candor in 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 process (you'll meet most of the team via the process)

• Intro call: We'll talk about your experience + the company, product & the role.

• Software engineering session (1 hour): We’ll build a simple application together. Think practical software engineering and not leetcode.

• System design session (90 mins): We will work through a system design problem with you. This will be related to the work you do daily.

• Product thinking and frontend engineering (60 mins)

• Food: Grab coffee / lunch / dinner with both founders. We'll talk about team culture, your motivations and get into any deep questions you have.