Senior AWS Infrastructure & DevOps Engineer

We are seeking a Senior Infrastructure & DevOps Engineer with robust experience in hybrid infrastructure (on-prem and cloud), specializing in AWS, Kubernetes, Terraform, Confluent Kafka, and web server technologies like Apache HTTP Server and Tomcat. This role requires hands-on expertise in automation (Ansible & Python), CI/CD pipelines, and observability tools such as Splunk and Dynatrace. Experience or interest in integrating Generative AI into infrastructure practices is highly desirable.

Key Responsibilities

• Architect, deploy, and maintain hybrid infrastructure across on-premise and AWS.
• Configure and optimize web servers including Apache HTTP Server, Tomcat, and proxies like Nginx/HAProxy.
• Provision and manage AWS resources (VPC, ALB, EC2, ECS, Redshift, Databricks).
• Operate and manage Kubernetes clusters (self-managed or via EKS).
• Administer and monitor Confluent Kafka clusters and related components.
• Write and maintain Infrastructure as Code (IaC) using Terraform (mandatory).
• Automate infrastructure workflows using Ansible and Python.
• Design, implement, and maintain CI/CD pipelines to support efficient deployments.
• Implement observability using Splunk, Dynatrace, and similar tools.
• Evaluate and adopt Generative AI tools to enhance operational workflows and infrastructure automation.
• Participate in incident response, troubleshooting, and post-mortem activities.
• Maintain technical documentation, architecture diagrams, and SOPs.

Required Skills and Experience

• 6+ years in infrastructure engineering, DevOps, or platform engineering roles.
• Mandatory experience with Terraform for infrastructure provisioning and lifecycle management.
• Strong hands-on experience with AWS services: VPC, ALB, EC2, ECS, Redshift, Databricks.
• Deep knowledge of Apache HTTP Server and Apache Tomcat (tuning, deployment, configuration).
• Production experience with Kubernetes and containerized workloads.
• Proficiency in managing Confluent Kafka in high-availability environments.
• Strong scripting and automation using Python and Ansible.
• CI/CD pipeline development experience using tools like Jenkins and Groovy.
• Proficient in using observability platforms such as Splunk and Dynatrace.
• Excellent grasp of networking, Linux administration, and cloud security.