Jobs → Engineering → Python AWS DevOps Engineer

Python AWS DevOps Engineer

R AUnited StatesMIDPosted 35m ago
PythonAWSTerraformGitHubHarnessOpenAI APIsLLM integrationGitHub Copilot
About the Role We are seeking a Python AWS DevOps Engineer with expertise in GenAI to join our team. This role involves designing, developing, and maintaining Python-based applications and automation frameworks, as well as managing cloud infrastructure on AWS. Key Responsibilities • Design, develop, test, and maintain Python-based applications, utilities, APIs, and automation frameworks • Develop reusable Python modules and automation scripts following coding standards and engineering best practices • Build and maintain CI/CD pipelines using Harness, GitHub, and related DevOps tooling • Automate build, deployment, configuration, and release-management activities • Manage cloud infrastructure on AWS using Terraform and Infrastructure as Code principles • Develop and maintain reusable Terraform modules for provisioning AWS infrastructure • Work with GitHub for source-code management, pull requests, branching strategies, code reviews, and release management • Integrate automated testing, security scanning, quality controls, and deployment validations into CI/CD pipelines • Develop or integrate GenAI solutions using OpenAI APIs / LLMs where applicable • Build Python integrations that interact with LLM APIs and enterprise applications • Apply prompt engineering techniques and implement appropriate controls for AI-generated outputs • Use GitHub Copilot effectively for development, code optimization, unit-test generation, documentation, and developer productivity • Monitor deployments, troubleshoot pipeline/application failures, and perform root-cause analysis • Collaborate with application, DevOps, cloud, security, and operations teams • Maintain technical documentation, deployment procedures, runbooks, and support documentation • Follow organizational security, compliance, change-management, and release-management practices • Identify opportunities for automation and continuously improve development and deployment

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