The GBIF Secretariat in Copenhagen is looking for a staff software developer to work in a small team responsible for the GBIF.org infrastructure. This role will focus on back-end systems and all aspects related to the GBIF API and data services. The post is a full-time position located in Copenhagen for a period of three (3) years with possibility of renewal.
Required skills and experience
- Development skills in Java (or other JVM languages); software design patterns, multithreaded environment, JVM and Memory Management, data structures and collections.
- Experience with Python
- Knowledge of data-stores; relational databases (SQL)
- Strong knowledge of RESTful services using JSON formats
- Professional skills on software engineering practices: release management (Maven releases, strong versioned code), refactoring, coding standards, continuous integration, unit /integration testing, software deployment and documentation.
- Proficiency in using the Linux operating system
- Ability to work in an English-speaking environment
- Professional skills regarding giving and receiving feedback about code
- The ability to work independently and as part of a team
Preferred skills
- Java Microservice frameworks; e.g.: Spring Boot, Dropwizard, Vert.x,
- Automation experience; e.g. Jenkins, Ansible, Chef, Puppet etc.
- Search engines; e.g.: Solr Cloud, Elasticsearch (ELK).
- Experience with monitoring solutions; e.g. Nagios, Ganglia, Zabbix, Cacti, Graphite, ELK, etc.
- Knowledge of the Hadoop ecosystem; HDFS, Solr, HBase, Spark, Beam, Zookeeper
- Experience working in and contributing to open source projects
GBIF offers
- A good team atmosphere and vibrant working environment
- The opportunity to learn and use big data technologies from the Hadoop ecosystem (Spark, Beam, HBase, Hive)
- The opportunity to work publicly on open source projects, having direct involvement with the user community
- A competitive remuneration package
- A powerful laptop for development work
Most importantly, we offer the chance to contribute significantly to an international effort to build and run the global web platform for open biodiversity data.
This is an exciting opportunity for the right individuals to develop their experience within an international organization in a science- and technology-based setting in biodiversity informatics for sustainable development. If you match these requirements and are able to start as soon as possible, we look forward to hearing from you.
Remuneration
GBIF salaries are competitive and are exempt from Danish income tax. The selected candidate is expected to take up residency in Denmark for the duration of the contract, and the GBIF Secretariat will secure the required residence and work permit with the Danish Ministry of Foreign Affairs. A relocation package is available for internationally recruited staff.
Application procedure and deadline
Applications for the position must be submitted in English and should include a letter addressing your experience and qualifications for the job, your curriculum vitae and your GitHub username. Applications must be emailed to dev-job1-2024@gbif.org by 10 January 2024. Please indicate in the application where you saw this advertisement.
Enquiries concerning the position can be addressed to Federico Mendez for technical matters or to the HR Manager, Susanne Sheldon.
Interviews for the position are expected to take place starting mid-end January 2024.
GBIF—the Global Biodiversity Information Facility—is an international network and data infrastructure funded by the world’s governments and aimed at providing anyone, anywhere, free and open access to data about all types of life on Earth.
GBIF is an equal opportunities employer and accepts applications without distinction on the grounds of gender, colour, racial, social or ethnic origin, genetic features, language, religion or belief, political or any other opinion, membership of a national minority, property, birth, disability, age or sexual orientation, marital status or family situation, or any other status. Staff are recruited on the broadest possible geographical basis.