We are a startup team building a cloud-based SaaS product powered by state-of-the-art AI. Our mission is to deliver a cutting-edge, data-driven application that transforms how users interact with complex information.
We’re looking for a skilled DevOps Engineer to help us create a smart monitoring platform using AI and machine learning.
In this role, you’ll drive the implementation of a cloud-native infrastructure on Google Cloud, leveraging Kubernetes, Infrastructure as Code, and CI/CD pipelines. You'll work closely with developers to streamline deployments, ensure observability, and deliver reliable cloud solutions.
- Development background - proficient in one or more programming languages (Java, Python, Go)
- Expert knowledge of CI/CD pipelines including experience using pipeline as code
- Strong knowledge of software configuration management systems and version control software
- Containerization
- Practical experiences with Kubernetes
- Solid knowhow about Google Cloud Platform
- Experience in setting up observability
Nice to have:
- Experience working on AI or data-driven platforms
- Awareness of how AI is transforming the tech industry
- Familiarity with MLOps concepts or AI/ML deployment pipelines
- Work closely with the development team to understand the solution architecture and build requirements in order to properly build the CI/CD pipelines.
- Help establish best practices for code deployment to cloud-based infrastructure
- Responsible for the cloud-native tooling which will support the development team with all cloud-related activities like building reliable delivery pipelines, workload orchestration.
- Responsible for building observability for a cloud solution.