Senior Cloud Platform Engineer (AZURE AWS)

Endego is a company specializing in comprehensive engineering solutions across automotive, railway, agriculture, heavy-duty vehicles, commercial vehicles, medical, and household appliances sectors. It has Polish roots with five branches in Poland and an office in Munich, employing around 250 specialists including engineers. The company emphasizes openness, collaboration, and international teamwork.

• 10+ years of experience in Cloud Engineering, DevOps, Platform Engineering, or related fields.
• Strong hands-on experience with AWS cloud services including compute, storage, networking, security, monitoring, serverless, and data services.
• Practical experience with Microsoft Azure services such as Azure Functions, Event Grid, Service Bus, Azure Data Lake Storage, Azure Monitor, Key Vault, Azure DevOps, Synapse, or Fabric.
• Hands-on experience with Terraform, GitHub Actions, CI/CD pipelines, GitOps, and Infrastructure as Code.
• Experience with Docker and Kubernetes (EKS, AKS, or similar).
• Strong understanding of cloud-native and event-driven architectures, APIs, distributed systems, and workflow orchestration.
• Experience with modern data platforms including Amazon S3, Azure Data Lake Storage, Apache Iceberg, AWS Glue Data Catalog, Spark, Databricks, Synapse, or Microsoft Fabric.
• Knowledge of cloud security best practices including IAM/RBAC, encryption, secrets management, audit logging, and vulnerability management.
• Experience with databases such as PostgreSQL, OpenSearch, Neo4j, or similar.
• Fluent English with experience collaborating in international engineering teams.

• Design, build, and maintain secure, scalable cloud infrastructure across AWS and Azure.
• Develop and optimize DevSecOps automation, CI/CD pipelines, Infrastructure as Code (Terraform), and platform engineering services.
• Design and support modern cloud data platforms, including data ingestion, transformation, governance, and analytics.
• Build and maintain event-driven and serverless solutions using AWS Lambda, SQS, EventBridge, Step Functions, and Azure equivalents.
• Implement and manage cloud security best practices, including IAM/RBAC, secrets management, encryption, logging, vulnerability scanning, and policy-as-code.
• Deploy and manage containerized applications using Docker and Kubernetes (EKS/AKS).
• Create and maintain technical documentation, architecture diagrams, operational procedures, and engineering standards.
• Collaborate with distributed engineering teams across APAC, Europe, and North America to deliver scalable cloud solutions.