DevOps Engineer(aws, python, EKS)

About UsefulBI

UsefulBI is a leading AI-driven data solutions provider specializing in data engineering, cloud transformations, and AI-powered analytics for Fortune 500 companies. We help businesses turn complex data into actionable insights through our innovative products and services.

Role Overview

We are looking for an experienced DevOps Engineer to join our growing team and support the development and operations of scalable, secure, and automated infrastructure. The ideal candidate will have a strong background in cloud platforms (especially AWS), container orchestration, infrastructure automation, and CI/CD practices. You will collaborate with cross-functional teams to streamline deployments, improve system reliability, and enhance automation across the stack

Key Responsibilities

• Design, implement, and manage cloud-native infrastructure using Infrastructure as Code (IaC) principles.
• Build and maintain CI/CD pipelines for reliable and automated application delivery.
• Deploy and manage containerized applications and services using Kubernetes (EKS) and Docker.
• Automate system tasks and infrastructure processes using Python and scripting tools.
• Monitor infrastructure health, performance, and security; proactively identify and resolve issues.
• Work with source control tools like Git to manage code repositories and collaboration workflows. • Ensure high availability, scalability, and security across production environments.
• Collaborate with development, QA, and security teams to align DevOps practices with project goals.
• Maintain up-to-date documentation on system configurations and processes.

Required Skills and Qualifications

• 5–8 years of experience in DevOps or Cloud Engineering.
• Strong working knowledge of AWS services (EC2, ECS, S3, IAM, EKS, RDS, etc.).
• Experience with Kubernetes and container orchestration tools. • Proficient in Terraform or similar IaC tools.
• Hands-on experience with CI/CD tools (e.g., Jenkins, GitHub Actions, AWS CodePipeline).
• Strong scripting skills using Python (Bash or Shell scripting is a plus)
• Proficiency in using Git for version control and code collaboration.
• Familiarity with monitoring tools and cloud security best practices.