Senior Java Engineer

Wizeline

6 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Languages

English

Experience level

Senior

Java

Artificial Intelligence

Amazon Web Services (AWS)

Automation of Tests

Unit Testing

DevOps

Distributed Systems

Amazon DynamoDB

Github

NoSQL

Spring-boot

Backend

Amazon Web Services (AWS)

Gitlab-ci

Integration Tests

Front End Software Development

Cloudwatch

Api Gateway

REST

Jenkins

Microservices

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.

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.