IT Software Engineer at Eurofins

Bogotá, Bogota D.C., Colombia -

Full Time

Start Date

Immediate

Expiry Date

05 Jan, 26

Salary

0.0

Posted On

07 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Linux Administration, IaC Concepts, Containerization Concepts, CI/CD Practice, Data Analysis, Statistics, Elastic Stack, MS SQL Server, PostgreSQL, Grafana

Industry

Medical and Diagnostic Laboratories

Description

Company Description Eurofins Scientific is an international life sciences company, providing a unique range of analytical testing services to clients across multiple industries, to make life and our environment safer, healthier and more sustainable. From the food you eat, to the water you drink, to the medicines you rely on, Eurofins laboratories work with the biggest companies in the world to ensure the products they supply are safe, their ingredients are authentic, and labelling is accurate. The Eurofins network of companies is the global leader in food, environment, pharmaceutical and cosmetic product testing and in agro-science Contract Research Organization services. It is one of the market leaders in certain testing and laboratory services for genomics, discovery pharmacology, forensics, advanced material sciences and in the support of clinical studies, as well as having an emerging global presence in Contract Development and Manufacturing Organizations. It also has a rapidly developing presence in highly specialized and molecular clinical diagnostic testing and in-vitro diagnostic products. In over 30 years, Eurofins has grown from one laboratory in Nantes, France to 58,000 staff across a decentralized and entrepreneurial network of 900 laboratories in over 54 countries. Eurofins companies offer a portfolio of over 200,000 analytical methods to evaluate the safety, identity, composition, authenticity, origin, traceability and purity of biological substances and products. In 2021, Eurofins generated total revenues of EUR 6.72 billion, and has been among the best performing stocks in Europe over the past 20 years. Job Description Position Overview: IT Application Monitoring and Observability team is global Eurofins’ team that provides knowledge on operation of IT Systems and IT Infrastructure. Over 61K+ Eurofins employees rely on the services that we provide to conduct their daily operations. From basic application availability monitoring, through complex process analysis ending on advanced statical and ML/AI methods to proactively counteract any unexpected events that can negatively impact the business. Handling over 3TB of data daily our goals is to collect, process, and visualize data to provide knowledge in easy and understandable way to the end users. You will be reporting to development leader and working on services for Eurofins’ Observability Stack. You will be also exposed to data analytical projects based on AI and ML. Primary Skills (mandatory) Linux administration IaC concepts with Terraform Containerization concepts with Docker Familiarity with CI/CD practice Data analysis with good foundations on statistics/mathematics Familiarity with Elastic stack (Elasticsearch, beats, Logstash) Secondary Skills (nice to have) MS SQL Server/ PostgreSQL knowledge Familiarity with Grafana tool is an advantage Qualifications EXPERIENCE REQUIRED Minimum 4 - 8 years of IT Professional Experience Personal profile Very good English communication skills (concise writing) Very good interpersonal relation skills. Able to engage and influence others to obtain enough follow up and attention. Drive continuous improvement efforts. Ability to work in a complex international environment. Eager to learn and continuously develop personal and technical capabilities. Consultant mindset. Additional Information Professional working proficiency in English is a requirement, including the ability to read, write and speak in English.

Responsibilities

You will be responsible for monitoring and analyzing IT systems and infrastructure to ensure operational efficiency. This includes handling large volumes of data and utilizing advanced statistical and machine learning methods to preemptively address potential issues.