Java Backend Developer – AI Integrations
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Job role insights
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Date posted
2024-07-18
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Closing date
2024-07-18
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Hiring location
Hamburg
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Offered salary
€56,000 - €79,000/year
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Qualification
Bachelor Degree
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Experience
3 - 5 Years 6 - 9 Years
Description
Java Backend Developer - Hamburg
Benefits:
- General Conditions: 30 days' vacation, time off on Christmas Eve and New Year's Eve, hybrid working model, modern hardware, in-house Academy learning flat rate, and company pension scheme.
- Health & Mobility: Monthly allowances for sports membership, Germany ticket, mobile working, and your own Pluxee card.
- Community: Various offers and further training opportunities with e-learning formats, individual support, work-life coaching for parents, events and company celebrations, incentivized employee referral program, and other corporate benefits.
- Headquarters Offers: Eye tests with glasses allowance, massage offers, relaxation room, annual health weeks, monthly "juice day" with freshly squeezed juices, 24/7 kiosk and canteen access, in-house parking, and influenza vaccinations.
Responsibilities:
- Architect, design, develop, deploy, and operate the application, ensuring it can handle the computational demands of AI integrations.
- Define your pipelines and orchestrate your resources in the most efficient way.
- Write reusable, testable, and efficient code, taking end-to-end ownership of your solution from design to release.
- Develop and maintain robust APIs that allow seamless integration and communication between the CRM system, AI models, and possibly other systems.
- Participate actively in technical discussions and presentations with fellow engineers inside and outside your team.
- Implement best practices in security and data protection.
Qualifications:
- Several years of commercial programming experience in Java with hands-on experience with Spring Boot and cloud-based backend architectures.
- Good knowledge of data structures, deep understanding of relational database design principles, and knowledge of SQL (PostgreSQL preferred).
- Ideally, experience with AI development frameworks like TensorFlow or PyTorch.
- Familiarity with Git, Kubernetes, and Docker.
- Knowledge of creating unit, integration, and end-to-end tests.
- Experience in developing distributed systems with high demands on performance and reliability.
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