Cloud / Data Platform Engineer (AWS)

Cloud Engineer, Data Platform Engineer

. Responding to Data Platform/Cloud environment issues (cloud problem and incident management, e.g., portal access, security, etc.)

. Assisting with user access issues and modifying access requests.

. Using tools to ensure peak performance of deployed cloud environments.

. Using tools to ensure adherence to security best practices including MFA, key management, etc.

. Implementing tasks under the guidance of Cloud architects.

. Responding to cloud monitoring alerts.

. Assisting users with any Data Platform troubleshooting issues.

. Ensuring ongoing configuration management health.

. Creating and maintaining Runbook and other support documentation.

. Adhering to ITIL processes (change, problem, configure, incident management).

. Conducting onboarding sessions for new Data Platform use cases to familiarize them with the various components.

Requirements

. Bachelor's degree in Information Technology.

. Infrastructure as a Service (IaaS) Cloud-based hands-on experience with key AWS services (IAM, VPC, S3, CloudFormation, CloudWatch…).

. Strong working experience with Infrastructure as Code (IaC) concepts, especially AWS CloudFormation.

. Solid knowledge and understanding of the software development lifecycle utilizing the DevOps framework around CI/CD.

. Understanding of data lifecycle end-to-end (from data ingestion to consumption).

. Familiarity with data catalogs or governance is a plus.

. Experience supporting production Cloud workloads using native and 3rd party tools.

. Good interpersonal skills, especially with a diverse and global user base.

. Good knowledge of CI/CD tools, processes, and procedures (e.g., Jenkins).

. Good knowledge of code and binary repositories (e.g., GitHub or BitBucket).

. Hands-on experience in scripting skills like Python or Bash

. Strong command of the English language (both verbal and written).

Additional Comments

. Talented and ambitious individual who thrives on innovation, learning, and problem-solving.

. Strong customer and service orientation.

. Ability to work in a global diverse environment.

. Team-oriented, especially working in an Agile team setting.

. Able to effectively collaborate, openly communicate, and reach across functional borders.

. Willingness to work outside business hours.

. Exposure to a wide tech stack and growth potential, including opportunities to learn about and potentially work with AI-related aspects within the data platform support side.