Senior Engineer - DevOps

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Skills you'll use

What you'll do

• Design, develop, and maintain automation using Python, Shell scripting, and Ansible for server provisioning, configuration, deployment, upgrades, and patching of Hyperscale environments.
• Develop reusable Ansible roles, modules, and playbooks to standardize and simplify product deployment and infrastructure configuration.
• Build and enhance automation frameworks for deploying and configuring distributed system components.
• Automate deployment and configuration of technologies such as HAProxy, Corosync, and other clustering, high-availability, and monitoring components.
• Develop and maintain automation for S3 deployment, configuration, and validation/testing.
• Deploy and validate software across multiple operating systems and hardware configurations to ensure compatibility and reliability.
• Work with modern bare-metal provisioning frameworks such as RackN and extend existing frameworks when required.
• Develop tools and scripts that improve engineering productivity, diagnostics, deployment, testing, and operational efficiency.
• Navigate and maintain existing C++ and XML-based codebases, making targeted enhancements and fixes when required.
• Effectively use AI-assisted software development tools, including GitHub Copilot and similar technologies, to accelerate development, code understanding, debugging, test creation, and modernization of legacy components.

Who can apply

• Bachelor's degree required.
• 4 or more Years of experience.
• Strong software development experience with Python and Shell scripting.
• Hands-on experience with configuration management and automation technologies, particularly Ansible.
• Strong understanding of Linux operating systems, system administration, networking, storage, and distributed system concepts.
• Experience with virtualization platforms such as VMware and/or Hyper-V.
• Working knowledge of at least one major cloud platform: AWS, Azure, or GCP.
• Experience with Docker, Kubernetes, and/or OpenShift.
• Experience developing infrastructure and system automation using Python libraries such as Boto3, Paramiko, Fabric, or PyYAML.
• Familiarity with bare-metal provisioning and network boot technologies such as PXE, RackN, or Cobbler.

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