Actively recruiting / 9 applicants
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Juliana Torrisi is in direct contact with the company and can answer any questions you may have. Email
Juliana Torrisi, RecruiterAbout the job
Client is a fast-growing, VC-backed startup building the world’s first user analytics platform for LLMs.
Every day, millions of users interact with AI copilots and assistants—but most companies have no idea what these users are actually asking, where they get stuck, or what makes them churn. We change that. We analyze real user-AI conversations to help product and engineering teams:
- Understand user behavior at scale
- Identify what users don’t like or where the AI gets it wrong
- Build better, more personalized, and more useful AI assistants
- Our customers include Fortune 500 and Global 2000 companies, and our product is used by the AI teams behind mission-critical copilots and chatbots in sectors like finance, telco, and e-commerce.
- Demand for Nebuly is accelerating fast—and we’re building a world-class team to keep up.
Examples of your daily responsibilities
As an Infrastructure/DevOps/Cloud Engineer, you will play a pivotal role in designing, building, and maintaining our robust and scalable cloud infrastructure. Join our dynamic team of experts who are passionate about leveraging cloud computing, Kubernetes (K8s), DevOps practices, and Infrastructure as Code (IaaC) to ensure a highly available and efficient environment for our SaaS web-based application. Your expertise will contribute to delivering reliable and scalable solutions while driving automation and efficiency across our infrastructure. Your responsibilities will include:
- Design, implement, and manage our cloud infrastructure using leading cloud providers such as AWS, Azure, or Google Cloud Platform.
- Develop and maintain Kubernetes (K8s) clusters, ensuring high availability, scalability, and efficient resource utilization.
- Drive Infrastructure as Code (IaaC) initiatives, leveraging tools such as Terraform for provisioning and managing cloud resources.
- Monitor and troubleshoot infrastructure performance, ensuring the reliability and availability of our systems.
What we look for
- Minimum of 3 years of professional experience in infrastructure engineering, DevOps, or cloud engineering roles.
- Strong knowledge and hands-on experience with cloud computing platforms such as AWS, Azure, or Google Cloud Platform.
- Expertise in Kubernetes cluster administration.
- Experience with Infrastructure as Code (IaaC) tools like Terraform or CloudFormation.
- Strong understanding of networking concepts, security best practices, and monitoring tools.
- Familiarity with logging and monitoring tools such as ELK Stack, Prometheus, or Grafana.
- Familiarity with scripting languages (e.g., Bash, Python) for automation and tooling.
- Ability to work collaboratively in cross-functional teams and communicate effectively.
- Ability to work in contact with customers teams
- Professional experience in Python or Go
- Strong knowledge and experience with microservices architecture and building scalable systems.