Job Title: Java Architect with DevOps

Job Type: Permanent

Location: Geneva, Switzerland

Hybrid/Onsite: Hybrid

Must have:

• Substantial experience with the Java language and the Spring framework, the JVM and related Java technologies, features and constraints.
• Substantial experience with REST APIs (including REST API design, versioning and maintenance) and good knowledge of networking.
• Substantial experience with technical design (design patterns, modeling, DDD)
• Proficiency in SQL DBs (PostSQL, Oracle)
• Practical experience with build pipelines, Java application delivery and deployment to Linux or Kubernetes.
• Excellent spoken and written communication skills in French and/or English.
• Master’s degree in technology or equivalent.
• Residency in Switzerland from the start of the mission.
• In-depth software engineering knowledge and expertise; development, maintenance and software improvement
• Open-mindedness and team spirit. Ability to work independently, excellent organizational skills and keen attention to detail.

As the perfect candidate for this role, you are passionate about technology, with a keen interest in reliability and automation. You will use your strong engineering skills to design and implement fault-tolerant systems and prevent production problems. While making customer experience your number one priority, you will use your fast problem-solving skills to fix any unanticipated issues. In this role you will have the opportunity to work on state-of-the-art technology with a team of demanding professionals, where your expertise and interpersonal skills will be greatly valued and continuously developed.

Responsibilities

• Working in tandem with Business Analysts and Solution Architects to continuously improve our PWM Reporting applications & APIs
• Collaborating with 3rd party software vendors to integrate new components, support and maintain them.
• Collaborating with software engineers on all development-related tasks for applications & APIs.
• Promoting code out of our software factory to production, pushing for maximum automation but without making any compromises on the quality of the delivered solution.
• Setting up state-of-the-art analytics and monitoring capabilities, providing both prescriptive and predictive insights.
• Writing code for configuration and security components.
• Diagnosing production issues, performing root-cause analysis and working with all members of the cross-functional team to propose solutions.
• Providing continuous guidance to software engineers around operational challenges, such as reliability and manageability, making sure that software implementations are production-proof.
• Promoting data-driven decision-making and identifying the metrics that matter.