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Senior Java Engineer - Cloud-Native Backend Development 100% (f/m/d) - (Contract through our external payroll partner with immediate start for 12 months with possible extension)

Julius Baer -
Zürich, ZH

Soumettre votre candidature

Détails de l'emploi

100% | Temps de travail : 90-100%

Qualifications

Anglais
Google Cloud Platform
Java
AWS
Docker
Compétences en communication
Spring

Description complète du poste

At Julius Baer, we celebrate and value the individual qualities you bring, enabling you to be impactful, to be entrepreneurial, to be empowered, and to create value beyond wealth. Let’s shape the future of wealth management together.

YOUR CHALLENGE

Lead the design and development of a critical cloud-native backend system
Drive the re-architecture of a large-scale legacy application using modern Java technologies
Build scalable and resilient backend services from the ground up using Spring Boot
Develop and deploy high-throughput, distributed systems in a cloud environment
Apply cutting-edge software engineering practices, including the use of AI-assisted development tools, to accelerate delivery while maintaining high code quality
Serve as a technical leader in a strategic modernisation initiative, guiding best practices in enterprise-grade Java backend development
Optimise system performance in complex, high-demand environments
Collaborate effectively in a transformation program requiring strong technical ownership and innovation

YOUR PROFILE

8+ years’ experience in developing server-side Java applications, preferably within financial or other regulated high-performance domains
Deep proficiency in Java 21+ and Spring ecosystem (Spring Boot, Spring Data, Spring Security, Spring Cloud)
Expertise in designing for high throughput and low latency , applying asynchronous processing and message brokers (Kafka, RabbitMQ)
Hands-on experience building and operating cloud-native microservices on AWS, Azure, or GCP — including containers (Docker), orchestration (Kubernetes), service mesh, and cloud storage/services
Proficient in instrumenting applications for observability using Micrometer and OpenTelemetry, including metrics collection (latency, error rates, throughput), distributed tracing across service boundaries, and contextual logging to enable proactive monitoring and rapid incident diagnosis in production environments
Experience refactoring or migrating monolithic systems to microservice architectures
Practical exposure to AI-assisted development workflows and familiarity with integrating generative AI tools into IDEs and code reviews
Able to work autonomously in a global team setup to take on initiative with a positive attitude
Solution orientated and able to work in an agile setup
Strong interpersonal and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders
Ability to work in a fast-paced environment, with a focus on delivering high-quality results under tight deadlines
Excellent command of verbal and written communication skills in English

We are looking forward to receiving your full job application through our online application tool.

Soumettre votre candidature

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