Senior Cloud Platform Engineer (AWS & Azure)

Infolet supports IT leaders by providing technology, experts, and full operational support including legal residence and work authorization for international IT specialists. They have been operating for 20 years and have projects involving specialists in various technologies such as Java, JavaScript, C embedded, C++, PHP, mobile specialists, software testers, and network and system administrators.

• 10+ years of professional experience
• Strong hands-on experience with AWS cloud services including compute, networking, storage, security, serverless, monitoring, and data services
• Working knowledge of Microsoft Azure services and cloud-native architectures
• Experience with Terraform, Infrastructure as Code, and platform automation
• Strong knowledge of GitHub Actions, CI/CD pipelines, GitOps, and DevSecOps practices
• Experience with Docker, Kubernetes, EKS, AKS, or similar container platforms
• Understanding of modern data lake/lakehouse architectures
• Experience with distributed systems, APIs, event-driven architectures, and workflow orchestration
• Knowledge of databases such as PostgreSQL, OpenSearch, Neo4j, or similar platforms
• Strong understanding of cloud networking, monitoring, logging, and operational resilience
• Fluent in English and Polish

Nice to have:

• AWS or Azure certifications (Solutions Architect, DevOps Engineer, or similar)
• Experience with Apache Iceberg, Spark, Databricks, Synapse, Fabric, AWS Glue, EMR Serverless
• Experience in enterprise software engineering, automotive, embedded, or regulated industries
• Exposure to observability, data governance, security compliance, and platform engineering best practices

• Design, implement, and maintain scalable cloud infrastructure across AWS and Azure
• Develop DevSecOps automation, CI/CD pipelines, and Infrastructure as Code solutions
• Build and operate cloud-native platform services and reusable engineering capabilities
• Design and support modern data platforms, including ingestion, transformation, governance, and analytics layers
• Implement event-driven and serverless architectures using AWS and Azure services
• Develop lakehouse-based data solutions using cloud-native storage and processing technologies
• Implement security controls, identity management, encryption, monitoring, and compliance mechanisms
• Create technical documentation, architecture diagrams, runbooks, and engineering standards
• Collaborate with globally distributed engineering teams to drive platform excellence