DevOps Engineer

We are looking for a hands-on DevOps Engineer to join a leading and growing technology company and play a key role in building and evolving its cloud platform. This is an opportunity to work in a highly technical, modern environment , with significant ownership and direct impact on cloud infrastructure, automation, and developer enablement. We’re looking for an experienced DevOps professional with strong AWS and Cloud-Native expertise , hands-on Terraform experience, a strong connection to software development teams , and a passion for leveraging AI tools in day-to-day work. Requirements: At least 5 years of DevOps / Cloud Engineering experience. Strong hands-on AWS experience. Azure experience is a plus. Proven experience working closely with software development teams . Experience deploying and operating cloud-native workloads in production. Experience with CI/CD platforms and automation . Strong Terraform / Infrastructure as Code experience. Comfortable working with Git and Git-based workflows . Hands-on experience using AI tools to improve productivity, automation, and troubleshooting. Technical Skills: Strong experience with AWS cloud-native services , including Lambda, ECS, EKS, API Gateway, ALB, VPC , and serverless architectures; ability to design and operate production workloads using these services. Strong Terraform skills, including writing, reading, reviewing, and maintaining IaC and understanding infrastructure architecture. Experience building and maintaining CI/CD pipelines with GitHub Actions and working with Git-based workflows. Experience with multi-account AWS environments , including environment isolation and deployment strategies across Dev / Staging / Production. Understanding of secure networking and private connectivity , including VPC Endpoints, PrivateLink, and Private API Gateway. Understanding of authentication and authorization , including OIDC, Cognito, IAM, and external Identity Providers. Familiarity with AWS Control Tower and multi-account operating models, plus hands-on use of AI tools for automation, troubleshooting, and productivity. Show more Show less