Project overview: The project focuses on building and operating a shared cloud platform that enables teams to deploy and run applications in a consistent and automated way. The platform supports continuous delivery, infrastructure automation, and operational stability across cloud environments.
Position overview: We are looking for a DevOps Engineer who will focus on cloud infrastructure automation, CI CD pipeline management, and platform stability. You will work on a cloud based platform that supports reliable, secure, and scalable delivery of software systems across multiple environments. This role combines hands on engineering with close collaboration across development and quality teams.
Technology stack: AWS, Azure, CloudFormation, Terraform, Ansible, Docker, Kubernetes, GitHub, GitHub Actions, Jenkins, Splunk, Datadog, Prometheus, Grafana, Python, Go, Java, Shell, PowerShell
Responsibilities: Design, build, and maintain scalable cloud infrastructure using Infrastructure as Code practices.
Develop, maintain, and improve CI CD pipelines to support secure and efficient software delivery.
Deploy and operate workloads in AWS and Azure, including networking, storage, and security configurations.
Implement monitoring, logging, and alerting solutions to ensure platform reliability and performance.
Perform root cause analysis and troubleshooting for infrastructure and CI CD pipeline issues.
Collaborate with product owners, developers, and QA specialists to translate platform and delivery needs into technical solutions.
Contribute to platform stability, standardization, and continuous improvement initiatives.
Requirements: Experience working with Azure and Terraform in a production environment.
Hands on experience with CloudFormation for infrastructure automation.
Experience using Docker for containerized applications.
Practical experience with GitHub and GitHub Actions, including branching strategies and pull request workflows.
Experience designing or supporting CI CD pipelines.
Understanding of cloud networking, security, and operational best practices.
Ability to document solutions and communicate technical decisions clearly in English.
Nice to have: Experience working with Kubernetes.
Programming or scripting experience with Python, Go, Java, Shell, or PowerShell.
Experience with monitoring and observability tools such as Splunk, Datadog, Prometheus, or Grafana.

DevOps Engineer with Cloud Infrastructure Automation, Cloud Platform

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