Senior Java Engineer

We are:

Wizeline, a global AI-centric technology solutions provider, develops cutting-edge, AI-powered digital 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 of growth, collaboration, and impact.

With the right people and the right ideas, there’s no limit to what we can achieve

Are you a fit?

Sounds awesome, right? Now, let’s make sure you’re a good fit for the role:

Key Responsibilities

• Design, 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 Skills

• 5+ 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 rewards
• Health benefits & wellness programs
• Savings & retirement plans
• Global mobility opportunities
• Flexible work policy
• Happy hours, gaming tournaments, sports activities & more
• Continuous learning & training programs with WizeAcademy
• Free certifications in cloud technologies and coding languages

Find out more about our culture here.