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 reverse proxies (eg Apache)
• Proficiency in SQL DBs (PostSQL, Oracle)
• Practical experience with build pipelines, Java application delivery and deployment to Linux or Kubernetes.
• Master's degree in Technology or equivalent.
• 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.

Would be a plus:

• Interest in finance; good financial knowledge would be an advantage.
• Knowledge of OpenID Connect (OIDC) / OAuth 2.0 authentication protocols
• Experience with TLS/SSL, certificates and encryption in general
• Experience with network security and firewalls
• Some knowledge of containers and orchestrators (eg: Docker and Kubernetes)
• Proficiency in other programming languages: Python, Bash scripting
• Firm belief in automation, infrastructure as code (eg: Puppet) and XaaS
• Knowledge of NoSQL databases (MongoDB, Elasticsearch)
• Hands-on experience with Agile methodologies.

Responsibilities

• Working in tandem with Business Analysts and Solution Architects to continuously improve our Front Tech 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.