Aptible

Here’s a list of 18 YC companies with fewer than 500 employees that have posted job openings for DevOps, SRE, Platform, and Infrastructure Engineering in the last 14 days 👀 👇 1. Darrow AI - Top litigators partner with Darrow to access high-value, meritorious cases... and win. - Senior Software Engineer (Data Team) 2. Weekday - At Weekday, we help companies hire engineers vouched by other software engineers. - AI Platform Engineer 3. ElectroNeek - Unlock efficiency gains for business processes with AI-powered automation. - Middle Software Engineer (Argentina) 4. Motion - The app that uses AI to help you get 25% more done. - Software Engineer (Algorithms) 5. Dynamo AI - End-to-end AI performance, security, and compliance solutions for enterprises. - Senior Software Engineer, Core Infra 6. Kular - Compliant-Ready AI for the Enterprise - Founding Software Engineer 7. voize - AI-powered speech-to-text for care documentation. - Senior Software Engineer (Backend) 8. 1910 Genetics - Computational medicines for the world's most difficult diseases. - Senior Software Engineer 9. Reflex - Generative AI-powered accounting automation for businesses - Software Engineer (AI / Open Source) 10. Truewind - AI-powered platform to optimize customer feedback processes - Founding Full-Stack Software Engineer 11. Monterey AI - AI-driven retail compliance with automated workflows - Senior Full-Stack Software Engineer 12. Retail Ready - AI-powered partnership solutions for corporate institutions - Full Stack Software Engineer 13. FirstIgnite - AI software for managing solar installation workflows - Full Stack Developer / Software Engineer 14. Aether Energy - AI-powered automation solutions for restaurant drive-thrus - Senior Software Engineer, Front-end and CAD 15. OfOne (YC W23) - Payment solutions for freight businesses using AI - Founding Software Engineer 16. Tank Payments - AI-driven simulation for engineering and product design - Founding Software Engineer 17. Navier AI - AI-powered marketing solutions delivering efficient campaigns - Rust Software Engineer 18. Kaya (YC S21) - Automated customer service solutions with advanced AI - Software Engineer, Python Links to job postings are in the comments! — 👀 Repost to help those in your network who may be looking for a job. For 2️⃣ weekly job drops (SRE, DevOps / Engineering Leadership) give me a follow: Henry Hund Hiring Managers: Did I miss your job? Connect with me and DM your info for inclusion in the next post!

Stress-free infrastructure management? Yes, please! For hims & hers, Aptible is more than just a platform—it’s peace of mind. 🙏 Managing deployments is made easy, and with zero-downtime restarts, the headaches of handling infrastructure disappear. Petr Hecko, Lead DevOps Engineer, shares how Aptible simplifies DevOps, leaving his team to focus on building, not worrying. If you're tired of infrastructure stress, it might be time for a change. #DevOps #CloudInfrastructure #Aptible #Compliance

🚨 NEW RELEASE ALERT: InfluxDB 2.7 is now available on Aptible, bringing enhanced tools for data visualization and processing with Flux, the data scripting language. Prefer SQL-like queries? No worries! We’re keeping InfluxDB 1.8 available as part of our managed database offering until InfluxDB 3.0 OSS arrives or security concerns come up. We're committed to offering flexibility for all your data needs. Let us know if you’d want to upgrade and read more about these changes in InfluxDB’s release blog post: https://lnkd.in/enzqB4Dq #InfluxDB #SQL #OSS #DevOps #OpenSource #DataVisualization

DevOps handled and HIPAA compliance simplified—all in one platform. Ion Feldman, CTO of Rightway, shares how Aptible’s turnkey solutions and stellar support give his team peace of mind, ensuring we can confidently manage PHI in the cloud. No stress, just seamless compliance and security built for the future of healthcare tech. #HealthcareTech #PHI #HIPAA #HITRUST

AI is everywhere in SRE discussions these days. Some are calling it revolutionary, while others think it's just a passing trend. But how much of the AI buzz do you think is actually grounded in reality? Let's see where you stand:

🔥 In just the last 90 days, Aptible has been on fire: ‣ 800k+ app containers deployed ‣ 500k+ backups secured ‣ 99.98% uptime you can count on Whether you're scaling your infrastructure or securing your data, we’ve got your back—keeping everything running smoothly, efficiently, and securely. That’s why dev teams trust Aptible for deployment automation and resilience. ⚡️ Ready to power up your stack with us? Let's go: https://lnkd.in/ezPtPmhX

I could've avoided so many headaches when I started on Aptible AI if I'd known then what I know now about building AI tools for engineering teams 🤦♀️ The good news is: now you can learn from our mistakes! Since we started building Aptible AI, I’ve talked to countless people who are in the middle of building their own AI Agent for incident response. But the ecosystem changes so quickly, it’s tough to keep up. So, based on our experience building an AI Agent for SRE teams, we put together a guide with steps and code snippets for all the engineers out there who are looking for some guidance with their own agent. Part 1 of our 3-part guide is out now and covers: - Why everyone’s building an AI Agent for incident response and what AI is good at compared to humans (if done right) - 7 decisions we’ve made so far with Aptible AI’s SRE Agent and pro tips to consider before you start building - Step-by-step instructions for setting up an application with Chainlit and connecting it to gpt-4o In parts 2 and 3, we’ll show you how to make your Agent faster, give it a personality, and give it (safe) access to the information it needs to have. 📖 Want a copy? Comment here or connect with me and send me a DM, and I’ll share the link with ya!

On October 3rd, he asked me if our app was secure... I told him we use Aptible 💅

AI isn’t going to replace software engineers (or SREs) anytime soon. But if you build AI thoughtfully, it will make their lives easier. And we’ve got just the guide to show you how 📖 Asking engineers to go on call without an AI assistant in 2024 is risky because you’re… - Expecting on call engineers to check observability tools they don’t frequently use - Relying on engineers to debug availability issues that hit multiple services they rarely touch - Assuming on call engineers can find docs and runbooks they might only touch 1x per year - Resigning yourself to frequent escalations to more experienced engineers/SREs Once we built our AI agent, on call became much easier, ending an era of unnecessary stress while also keeping MTTR strong. TODAY we’ve released Part 1 of a three-part guide that will show you how to build your own AI SRE assistant. In the full guide we’ll cover everything we learned while we built Aptible AI including every mistake and how we overcame them (and, of course, the code you need to get started on your own agent). If you want it: 1. Comment on this post 2. Connect with me so I can DM you a private link!