Eine zielgenaue Bewerbung für diesen Job — ein maßgeschneiderter Lebenslauf und ein Anschreiben, die genau zur Stellenanzeige passen.
Jobtailor in Germany seeks an experienced Java/Cloud Engineer to design, migrate, and optimize cloud-based applications on AWS. You will implement cloud-native architectures, microservices, and AI-enabled integrations, collaborating with architects and engineers to deliver scalable solutions.
You should have deep Java expertise, strong AWS migration experience, and a track record with CI/CD, Terraform, Docker/Kubernetes, and security/compliance considerations.
• Design, develop, test, and maintain Java-based applications and services
• Lead or support migration of applications from on-premises or legacy environments to AWS cloud
• Analyze existing systems and define migration strategies, including rehosting, replatforming, refactoring, or modernization
• Develop scalable, secure, and high-performance solutions using AWS services including EC2, S3, RDS, Lambda, ECS, EKS, IAM, CloudWatch, and CloudFormation
• Implement cloud-native and microservices-based architectures
• Integrate AI models or AI-enabled services for intelligent automation, analytics, or decision-making
• Collaborate with architects, engineers, analysts, and stakeholders to gather requirements and deliver technical solutions
• Troubleshoot application, infrastructure, and integration issues across development, testing, and production environments
• Optimize application performance, reliability, scalability, and security
• Write clean, maintainable, and well-documented code following engineering best practices
• Support CI/CD pipelines and DevOps practices for deployment and release management
• Participate in code reviews, design reviews, and technical planning sessions
• Mentor junior developers and contribute to team knowledge sharing
Demonstrates expertise in Java development and AWS cloud migration, with a strong focus on designing scalable, secure applications and implementing cloud‑native architectures. Proficient in integrating AI models and optimizing application performance while adhering to best practices in software development and DevOps.