Skills:
Google BigQuery, Terraform, Kubernetes, Docker, CI/CD Pipelines, AWS DEVOPS, NODE JS, MongoDB,

Job Overview

We are looking for a mid-level AWS DevOps Engineer to join our team full-time in Hyderabad. This role focuses on optimizing cloud infrastructure for our innovative studio management tech platform. The position requires applying your expertise in AWS DevOps, Node.js, and MongoDB to ensure efficient and reliable system operations. Join Huemn to elevate our technology solutions and support client success in the photography industry.

Qualifications And Skills

Proficiency in AWS DevOps, Node.js, and MongoDB (Mandatory skill)
Experience with developing and deploying applications using Google BigQuery, enabling data analysis and insights
Strong understanding of Terraform for infrastructure as code, managing infrastructure efficiently
Proficiency in Kubernetes for container orchestration, ensuring high availability of applications
Experience in Docker for containerization of applications, improving scaling and resource utilization
Hands-on experience with CI/CD pipelines, automating deployment processes to improve development cycle times
Excellent problem-solving skills, able to troubleshoot system issues and implement effective solutions
Ability to work collaboratively with cross-functional teams, enhancing system efficiency and performance

Roles And Responsibilities

Develop, test, and deploy high-quality code to enhance the functionality of our studio management platform
Manage cloud infrastructure using AWS services to ensure scalable and reliable system performance
Utilize Node.js and MongoDB for backend development to support application scalability and efficiency
Implement CI/CD pipelines to automate testing and deployment, ensuring rapid releases and continuous improvements
Collaborate with the development team to integrate Google BigQuery, improving data access and analytics
Work with Terraform to manage infrastructure as code, ensuring consistent and reliable infrastructure setup
Ensure high availability and performance of applications through effective use of Kubernetes and Docker containers
Troubleshoot system issues and resolve them promptly to maintain optimal platform performance

Huemn

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