Senior Cloud Platform Engineer (AWS & Terraform)

Quick Facts

• Role: Senior Cloud Platform Engineer (AWS & Terraform)

Description

You will design, build, and operate AWS cloud infrastructure for modern applications and AI/ML solutions as part of an AI & Data Analytics team.

Responsibilities

• Design, implement, and manage AWS cloud infrastructure using Terraform

• Build and evolve CI/CD pipelines in GitLab for deploying infrastructure and applications

• Ensure security, reliability, scalability, and cost efficiency of cloud platforms

• Manage AWS services, network infrastructure, IAM, and the lifecycle of cloud environments

• Automate processes and develop internal tools using Python and Bash

• Implement monitoring, logging, and alerting to support high availability

• Support software development and AI teams to build a robust and efficient cloud platform

• Create and maintain technical documentation and operational standards

Requirements

• University degree in a relevant field (CS, software engineering, mathematics, physics) or equivalent practice

• Minimum 7 years of experience in cloud infrastructure, DevOps, or cloud engineering

• Demonstrated advanced experience with AWS and Terraform

• Experience with CI/CD tools, ideally GitLab CI

• Strong knowledge of Infrastructure as Code (IaC), cloud architecture, and automation

• Practical experience with scripting/programming in Python and Bash

• Knowledge of cloud security, IAM, network infrastructure, and best operational practices

• Experience with monitoring, observability, and logging tools

• Ability to communicate effectively in English (verbal and written)

• Orientation in modern engineering practices and experience using AI tools in development

Benefits

• Opportunity to significantly influence cloud infrastructure for innovative AI solutions

• Work in an international team of experienced specialists and technology enthusiasts

• Modern technologies and room to implement your own ideas

• Flexible working hours and the option to work from home (hybrid model)

• Professional development opportunities, training, and continuous learning

• A friendly, supportive environment focused on collaboration and knowledge sharing