Senior DevOps Engineer

Client: NebulyJoin our mission

Nebuly 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 users are asking, where they get stuck, or what makes them churn. Nebuly changes that by analyzing real user‑AI conversations to help product and engineering teams understand user behavior at scale, identify pain points, and build better, more personalized 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 such as finance, telco, and e‑commerce.

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. Your responsibilities include:

• Design, implement, and manage cloud infrastructure on leading providers such as AWS, Azure, or Google Cloud Platform.
• Develop and maintain Kubernetes clusters, ensuring high availability, scalability, and efficient resource utilization.
• Drive Infrastructure as Code initiatives, leveraging tools such as Terraform for provisioning and managing cloud resources.
• Monitor and troubleshoot infrastructure performance, ensuring reliability and availability of our systems.

What we look for

• 5-10 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.
• Experience with Infrastructure as Code 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.
• Professional experience in Python or Go.
• Strong knowledge and experience with microservices architecture and building scalable systems.

What we offer

High‑impact work in small, fast‑moving teams where ownership and autonomy are high.

A platform for real growth—new challenges and opportunities arise as more companies rely on our platform to optimize AI experiences.

Competitive compensation and stock options tailored to your experience and location.

Remote‑friendly and flexible working hours available wherever you are.

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