Software Engineer, Product

San Francisco

Cleric

Cleric is an autonomous AI SRE that helps engineering teams quickly diagnose production issues in complex cloud-native environments.

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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 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): We’ll review.

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

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Architecture CI/CD Data visualization DevOps Distributed Systems Engineering FinTech Kafka Kubernetes LLMs Machine Learning Microservices Python React Testing

Perks/benefits: Startup environment

Region: North America
Country: United States

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