AWS Cloud Platform Engineer

• Design, build, and maintain scalable AWS cloud infrastructure supporting enterprise-level data platforms and cloud-native solutions
• Develop and automate infrastructure using Terraform and Infrastructure-as-Code best practices
• Build and maintain cloud-native solutions leveraging AWS services such as Glue, Lambda, serverless components, and networking/security services
• Collaborate closely with the Data Platform Architect, Product Owners, and Data Engineers to further develop and maintain the Insurance Data Platform
• Support the implementation of Data Mesh, data pipelines, and MLOps infrastructure within modern cloud environments
• Develop automation scripts and platform components using Python
• Design and optimize CI/CD pipelines and deployment processes to ensure reliable and efficient delivery workflows
• Configure and maintain AWS networking and security components, ensuring secure, scalable, and resilient architectures
• Monitor cloud infrastructure and platform services using observability and monitoring best practices
• Work on well-defined Agile User Stories covering DevOps, data engineering, and machine learning infrastructure topics
• Provide technical consulting and guidance on software architecture, cloud engineering, and development best practices
• Collaborate effectively within international Agile Scrum teams, contributing to continuous improvement and operational excellence

• Bachelor's degree in Informatics or related field, or equivalent experience
• Minimum 5 years of experience in Cloud Engineering, DevOps, or Platform Engineering roles
• Strong hands-on experience with AWS cloud services, especially networking, security, Glue, and serverless architectures
• Strong proficiency with Terraform and Infrastructure-as-Code concepts
• Solid programming and automation skills using Python
• Experience building and maintaining data-heavy platforms, cloud-native architectures, or enterprise data solutions
• Good understanding of Data Mesh, data pipelines, and MLOps infrastructure concepts
• Familiarity with CI/CD pipelines, automation, and DevOps best practices
• Strong understanding of cloud security, scalability, networking, and high-availability principles
• Experience collaborating with architects, product owners, and cross-functional engineering teams
• Ability to consult stakeholders and teams on software architecture and engineering best practices
• Strong analytical, troubleshooting, and problem-solving skills
• Excellent communication skills in English, with the ability to explain technical concepts to both technical and non-technical stakeholders
• Experience working within Agile Scrum environments
• Excellent command of both spoken and written English

Exposure to MLOps platforms and machine learning infrastructure tooling

• Smooth integration and a supportive mentor
• Remote, Hybrid or Office work opportunities
• Flexible working hours
• Sponsored certifications, trainings and top e-learning platforms
• Private Health Insurance
• Individual coaching sessions or accredited Coaching School
• Epic parties or themed events for employees and their families