At a Glance
- Tasks: Build and manage scalable, secure infrastructure for cutting-edge AI applications.
- Company: Join a pioneering startup shaping the future of AI technology.
- Benefits: Generous compensation package with equity and opportunities for growth.
- Other info: Evolve our tech stack and redefine the future of AI infrastructure.
- Why this job: Make a real impact by working directly with founders in a dynamic environment.
- Qualifications: 5+ years in CI/CD and Kubernetes management; strong attention to detail.
The predicted salary is between 70000 - 90000 € per year.
We are building the LLM platform that will power tomorrow's AI-first companies. A single platform that allows any LLM user to integrate, scale, secure and optimize their LLM inference across 200+ providers in a few clicks. A highly scalable, reliable and secure infrastructure that exposes simple, OpenAI-compatible APIs, that every product or tool can use. The API allows you to access any of the LLM providers, taking care of API compatibility while adding telemetry, analytics, load balancing, MCP integrations, prompt management, data loss protection and much more out of the box.
You understand that the best development teams need the best tooling and processes. You understand how hard it is to manage Kubernetes clusters and self-hosted deployments in different environments. You understand how to build security practices into systems in a way that protects the users but doesn't slow them down. And you are excited to tackle these massive challenges and build an infrastructure product that will be the backbone for the best AI products, and power the next AI coding assistants, agent orchestration systems or any other AI-based solution.
Work directly with the founders to influence the company's direction and make a tangible impact. If you're looking to build your own startup someday or want to thrive in the dynamic environment of a fast-growing company, this is the ideal place to accelerate your impact and growth. A generous TC package with significant equity.
Our stack:
- Core LLM gateway in Go
- Auxiliary and ML/AI services in Python
- Different SQL DBs + Distributed caches
You should expect this list to evolve. And most probably, you will be the one redefining and building it.
What we are looking for:
- You have 5+ years of experience managing CI/CD and Kubernetes clusters.
- You know how to build scalable, high-performing and reliable infrastructure.
- You love integrating tools and setting up configurations for development, CI/CD, production and more.
- You know how to design technical processes that are easy to use (increase velocity) and hard to get wrong (secure) at the same time.
- You have a great attention to detail.
Interview Process:
Our process usually consists of: (not necessarily in that specific order)
- A screening phone call to make sure there's a match
- An interview where we dive into the details of a previous project you owned
- An interview / home exercise where we build something together
- An interview where we design a solution together
Founding DevOps/SRE Engineer employer: Requesty
Join a pioneering team at the forefront of AI technology, where your contributions as a Founding DevOps/SRE Engineer will directly shape the future of our innovative LLM platform. Enjoy a dynamic work culture that fosters collaboration and creativity, alongside generous compensation packages including significant equity, all while working closely with founders to drive impactful change. This is an exceptional opportunity for personal and professional growth in a fast-paced environment, perfect for those aspiring to build their own startups or thrive in a cutting-edge tech landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Founding DevOps/SRE Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to CI/CD and Kubernetes. This gives us a tangible way to see what you can do and how you tackle challenges.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your past projects in detail. We love hearing about how you've built scalable infra and integrated tools, so come armed with examples.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you're genuinely interested in being part of our team and building something amazing together.
We think you need these skills to ace Founding DevOps/SRE Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with our job description. Highlight your experience with CI/CD, Kubernetes, and any relevant projects that showcase your ability to build scalable and reliable infrastructure.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're excited about the role and how you can contribute to our mission. Share specific examples of past projects where you've tackled challenges similar to those we face at StudySmarter.
Showcase Your Technical Skills:Don’t shy away from detailing your technical expertise. Mention the tools and technologies you’ve worked with, especially in relation to our stack like Go, Python, and SQL databases. We want to see how you can integrate and optimise systems!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at Requesty
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Go and Python. Brush up on your knowledge of CI/CD processes and Kubernetes management, as these will likely be focal points during your interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, particularly around building scalable infrastructure or integrating tools. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact.
✨Understand the Company’s Vision
Familiarise yourself with the company’s mission to build a robust LLM platform. Be ready to share your thoughts on how you can contribute to this vision and what excites you about working in an AI-first environment.
✨Prepare for Collaborative Exercises
Since the interview process includes collaborative exercises, practice coding or designing solutions with a peer. This will help you get comfortable with real-time problem-solving and demonstrate your ability to work effectively with others.
