Job description

We are:

Wizeline, a global AI-native 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.
Write clean, maintainable, and well-tested code, following engineering and security standards.

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: