Join our dynamic Engineering, AI & Data team as a Senior Associate, specializing in AWS. You will play a crucial role in reimaging and re-engineering mission-critical operations, leveraging deep industry knowledge and AI-driven insights to transform technology platforms.

This role is instrumental in modernizing existing systems and implementing cutting-edge technology products. Through innovation, we aim to significantly improve financial performance, accelerate new digital business initiatives, and fuel overall growth within the organization. Explore more about our Engineering, AI, and Data capabilities.

As an AWS DevOps Analyst, your core responsibilities will involve supporting CI/CD pipelines and automating workflows for seamless AWS cloud operations.

You will assist in building robust CI/CD pipelines using tools like AWS CodePipeline, CodeBuild, CodeDeploy, or GitHub Actions. Furthermore, you'll support infrastructure provisioning through Terraform, CloudFormation, and custom automation scripts.

Your role will also encompass configuring essential AWS resources such as EC2, S3, IAM, Lambda, VPC, and CloudWatch. You'll contribute to Docker-based deployments and aid in EKS/ECS activities. Continuous monitoring of applications using CloudWatch Logs, Metrics, and Alarms will be key. Additionally, you'll assist with YAML/JSON templates, workflow automation, and scripting, while diligently maintaining documentation, SOPs, and deployment runbooks.

We are seeking candidates with foundational, hands-on expertise in core AWS services including EC2, S3, IAM, VPC, Lambda, and CloudWatch.

A solid exposure to CI/CD tools like CodePipeline, Jenkins, or GitHub Actions is essential. Basic experience with infrastructure as code tools such as Terraform or CloudFormation is required. Proficiency in scripting languages like Python, Bash, or PowerShell is necessary.

A fundamental understanding of Docker and Kubernetes basics is expected. An educational background with any bachelor's or master's degree is required. Experience with monitoring tools like Datadog or Dynatrace, familiarity with Git and branching strategies, and an understanding of Agile/Scrum methodologies are considered key skills. AWS certification is preferred.