Java DevOps Engineer:

Role

Java DevOps Engineer

Location

Geneva Switzerland

Years of Experience

Min. 8+ Years

Type of Hiring

Permanent

Language

French – Advance and English Advanced.

Onsite/Offsite

Hybrid Remote. 3 days onsite, 2 days remote.

EU/Swiss Nationals or with Valid B/C Work Permits.

Job Description:

As a member of Client's Front Tech team, you'll join an inspiring team of technologists dedicated to their high-profile Front Tech applications, and you'll be a key player in specifying, documenting, rearchitecting and further improving their technical architecture to optimally address both current and future business needs. You'll benefit from direct collaboration and knowledge sharing with your peers in the DevOps Chapter, and also interact with other teams that provide the infrastructure and the data that is served to end users.

Client is looking for a passionate DevOps Engineer with top-notch Java and API expertise, who can help us deliver software products to the best standards. You will be responsible for micro-service reliability, technical architecture decisions and deployment up to production. Coming in with an understanding of the importance of end-to-end software development – such as Agile frameworks – is a plus. And best of all, you'll be working with and sharing ideas, information and innovation with our global team of technologists from all over the world.

Must have:

• In-depth software engineering knowledge and expertise: development, maintenance and continuous improvement
• 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 (PostgreSQL, Oracle)
• Practical experience with build pipelines, Java application delivery and deployment to Linux or Kubernetes.
• Practical experience with monitoring, observability and alerting platforms (eg Dynatrace, Grafana, Prometheus, Icinga).
• Excellent spoken and written communication skills in French and/or English.
• Open-mindedness and team spirit. Ability to work independently, excellent organizational skills and keen attention to detail.
• Master's degree in Technology or equivalent.

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 GitHub workflows
• Experience with network security and firewalls
• Experience with Cloud infrastructure and deployments (eg AWS and/or Azure)
• Knowledge of containers and orchestrators (eg: Docker and Kubernetes/Helm)
• Proficiency in others 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.

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.

• Working in tandem with Business Analysts, Technical 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.