Intermediate Fullstack Software Developer (Plug & Charge)

About the Role

Join Hubject as an Intermediate Fullstack Software Developer in our Plug & Charge team, where you will play a crucial role in developing and maintaining microservices and cloud infrastructure to empower Plug & Charge systems. This position is ideal for someone passionate about software development and eMobility solutions.

Responsibilities

Develop backend code primarily in Java using the Spring Boot Framework.
Familiarity with version control systems, such as Git.
Design, write, test, deploy, and maintain highly scalable, testable solutions.
Analyze requirements, implement, maintain, and troubleshoot new and existing software applications.
Work as part of a team and independently, handling multiple projects simultaneously.
Engage in learning, sharing experiences, and mentoring newcomers.
Take on additional tasks within the team based on experience level and seniority.

Skills and Qualifications

Bachelor’s degree or equivalent experience in Computer Science.
Development experience with essential programming languages/frameworks such as Java and Spring Boot.
Understanding of Microservice-based architecture is essential; experience deploying services to a Kubernetes cluster is desirable.
Experience with REST API design is essential.
AWS Cloud / DevOps experience is desirable.
Infrastructure-as-code with Terraform is desirable.
Experience with IT security and PKIs is desirable.
Strong attention to detail and ability to work in a fast-paced environment.
Excellent communication and teamwork skills.

Why Join Hubject?

Work on significant growth topics in the eMobility market.
Be part of an international team of motivated eMobility enthusiasts.
Contribute to the acceleration of the EV ecosystem towards a sustainable mobility future.

Additional Benefits

10 additional paid leave days (total: 30 days).
Performance and bonus structure dependent on achievement of set targets.
Remote working model.
Employee Referral Program - a financial bonus for the referrer for successful candidate recommendation.
Access to a learning platform like Udemy.

Benefits
Extracted with AI

30 days paid leave
Performance-based bonus
Remote work option
Employee Referral Program
Access to learning platforms like Udemy

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