We are:Wizeline, a global AI-centric technology solutions provider, develops cutting-edge,AI-powereddigital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. As a global community of innovators, we foster a culture ofgrowth, collaboration,andimpact.With the right people and the right ideas, there's no limit to what we can achieveAre you a fit?Sounds awesome, right? Now, let's make sure you're a good fit for the role:Key ResponsibilitiesDesign, build, and maintain scalable backend services using Java and Spring Boot in a cloud-native AWS environment.Develop and optimize RESTful APIs, microservices, and backend components following best engineering practices.Collaborate closely with cross-functional teams—Product, DevOps, QA, and Frontend—to ensure seamless integration and high-quality product delivery.Participate in architectural discussions, contributing to decisions that ensure scalability, security, and performance.Troubleshoot complex backend issues, perform root-cause analysis, and provide long-term improvements to system stability.Implement automation, monitoring, and CI/CD pipelines to improve development and deployment workflows.Must-have Skills5+ years of backend engineering experience working with Java and Spring Boot in production environments.Strong hands-on experience with AWS services (Lambda, ECS/EKS, API Gateway, S3, RDS/DynamoDB, CloudWatch, etc.).Solid understanding of microservices architecture and distributed systems.Experience building and consuming RESTful APIs.Proficiency with CI/CD pipelines and tools (Jenkins, GitHub Actions, GitLab CI, etc.).Strong understanding of relational and/or NoSQL databases.Experience with unit testing, integration testing, and test automation frameworks.Ability to work autonomously while collaborating effectively with a cross-functional team.Excellent problem-solving and communication skills.Nice-to-have:AI Tooling Proficiency:Leverage one or more AI tools to optimize and augment day-to-day work, including drafting, analysis, research, or process automation. Provide recommendations on effective AI use and identify opportunities to streamline workflows.What we offer:Competitive compensation & total rewardsHealth benefits & wellness programsSavings & retirement plansGlobal mobility opportunitiesFlexible work policyHappy hours, gaming tournaments, sports activities & moreContinuous learning & training programs with WizeAcademyFree certifications in cloud technologies and coding languagesFind out more about our culture.