Senior AWS Infrastructure & DevOps Engineer

We are seeking a Senior Infrastructure & Dev Ops 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, Dev Ops, 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.