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Cleric | https://cleric.ai | Staff Software Engineer | Full-Time | $160K–$220K | Onsite (San Francisco)

Cleric is an AI Site Reliability Engineer (SRE) that autonomously root causes production issues for engineering teams. Our AI agent frees engineers from time consuming investigations and context switching by reliably diagnosing and fixing problems in production environments.

We’re hiring a Staff Software Engineer to help us build a future where AI handles on-call support. You’ll join a small team of AI and infrastructure veterans in our sunny San Francisco office, working closely with the founding team to meet fast growing customer demand. Cleric is live in production with multiple customers and backed by top tier AI and infrastructure investors.

What is an AI SRE? → https://cleric.ai/blog/what-is-an-ai-sre

Role → https://jobs.ashbyhq.com/Cleric/131dd323-6d76-4d79-9cc5-f3b5...

Email → [email protected]

— Willem (Co-founder and CTO)


Cleric | https://cleric.io | Staff Software Engineer | Full-Time | Onsite (San Francisco)

Cleric is an AI Site Reliability Engineer (SRE) that root causes production issues at machine speed, using the same tools engineers use today. We help engineers quickly locate and fix problems in production environments.

We're looking for builders who want to create a future where AI handles on-call and they can get back to building software. You'll work closely with a team of veteran AI and infrastructure builders in our San Francisco offices. We're live in production at multiple enterprises and backed by leading AI and infrastructure investors.

Staff Software Engineer: https://jobs.ashbyhq.com/Cleric/131dd323-6d76-4d79-9cc5-f3b5...

Email: [email protected]

— Willem (Co-founder and CTO)


Cleric | https://cleric.io | Software Engineers, Platform & Product | Full-Time | Onsite (San Francisco)

Cleric is an AI Site Reliability Engineer (SRE) that diagnoses production issues at machine speed, using the same tools engineers use today. We're live in production at major enterprises and backed by leading AI infrastructure investors.

Our vision is to free engineers from operational toil entirely. Production systems have become too complex and fast-moving for human operators - we're building Cleric to handle this complexity autonomously, letting engineers focus on building products.

Roles:

- Software Engineer, Product: https://jobs.ashbyhq.com/Cleric/131dd323-6d76-4d79-9cc5-f3b5...

- Software Engineer, Platform: https://jobs.ashbyhq.com/Cleric/bf48c037-56dc-4237-bfe3-fe0c...

We're looking for builders who want to create a future where AI handles operations and engineers can get back to building. You'll join a team of veteran AI and infrastructure builders working closely out of our San Francisco office.

Email: [email protected]

— Willem (CTO, Cleric)


Cleric | Multiple Roles | San Francisco | Full-time | $160K-$200K + 0.5%-1.5% equity | Visa Sponsorship

At Cleric we're building an AI-powered agent that helps engineers quickly diagnose and resolve production issues, freeing them up from operational toil. We've raised a $4.3m seed from a leading AI VC and Silicon Valley angels.

The ideal candidate loves building tools for engineers, and is obsessed with generative AI. You'll join a team of AI, software, and infrastructure veterans working in-person from San Francisco.

Email me (CTO) at [email protected] or apply at https://jobs.ashbyhq.com/cleric


This email address gave me a SMTP delivery failure. Is your mailserver running properly?


While everyone is focusing on LLMs, the folks at Bytewax are quietly shipping tech that is both accessible and robust. Great to see.


Been following this project for a while. There's a reason why it's making waves in developer circles - You get a simple to use Python developer experience with a powerful distributed data processing framework that scales to enormous workloads. Plus its battle tested since it relies on Timely Dataflow under the hood.


It may be worth reading this article to get an idea of what feature stores are and how they are used https://feast.dev/blog/what-is-a-feature-store/


Co-author here. Happy to answer any questions!


I agree.

To add to that, GitOps as defined by Weaveworks and Kelsey Hightower is a technology agnostic approach.


Good point. I work on the Data Science team, but I will pass along your comment and suggestion to the relevant product team.


Do i see results of Data Science in the App? Never been on the driver side. Like, do you distribute drivers to busy places and things like that? Do you also block drivers in certain areas? What are driver's common problems? OOh, so many questions. Dont you want to write a blog post as well? :-)


Best bet to learn about our ML systems is at (and after) talks we do in Singapore.


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