AWS DevOps Engineer

Role Type: Full-time, Senior level 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.