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.
YOUR TASKS:
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Work closely with the development team to understand the solution architecture and build requirements in order to properly build the CI/CD pipelines.
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Help establish best practices for code deployment to cloud-based infrastructure
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Responsible for the cloud-native tooling which will support the development team with all cloud-related activities like building reliable delivery pipelines, workload orchestration.
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Responsible for building observability for a cloud solution.
OUR REQUIREMENTS:
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Development background - proficient in one or more programming languages (Java, Python, Go)
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Expert knowledge of CI/CD pipelines including experience using pipeline as code
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Strong knowledge of software configuration management systems and version control software
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Containerization
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Practical experiences with Kubernetes
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Solid knowhow about Google Cloud Platform
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Experience in setting up observability
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Linux
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Infrastructure as a code
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Communication skills
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Problem-solving mindset
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English at least B2