Software Engineer

Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers to levels they cannot achieve anywhere else. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking a cloud-enabled world. We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our ideas are better, our products are better, and our customers are better served.  

Microsoft’s Health and Life Sciences team is dedicated to empowering healthcare organizations to achieve their goals and improve patient care. We aim to create an efficient and connected healthcare ecosystem by bringing the healthcare ecosystem together which empowers everyone across the healthcare journey to collaborate, communicate, and innovate together to provide better experiences for their workforces and patients or members alike. 

As a Software Engineer, you will work on the next generation of our clinical documentation products powered by Artificial Intelligence. You will contribute to design, implementation and operation of our backend serving solutions. This opportunity will allow you to develop a deep understanding of real-world AI use cases of a hyper-scale cloud provider, offering a predictable path to long-term career growth in a team with high employee retention.

This is a flexible work opportunity allowing up to 100% work from home if desired.

Required/Minimium Qualifications
- Bachelor's Degree in Computer Science or related technical field (OR equivalent experience)
- Multi-year technical engineering experience with coding in language including, but not limited to, C, C++, Python, C#
- Multi-year experience building and operating cloud services

Preferred/Additional Qualifications
- Master's Degree in Computer science or related technical field (OR equivalent experience)
- Multi-year technical engineering experience with coding in language including, but not limited to, C, C++, Python, C#
- Multi-year experience building and operating cloud services
- Multi-year experience working with machine learning models in areas such as: natural language processing, generative AI, speech-to-text

The salary for this role is starting from 74,600 euros per annum depending on experience.

Other Requirements 

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check:  

• This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. 

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

We are looking for highly motivated people with experience working on all aspects of modern cloud services, ability to design components carefully, properly handle errors, write clean and well-factored code with good tests and good maintainability, as well as a passion and natural curiosity regarding machine learning and artificial intelligence. 

Responsibilities include:  

• Contribute to design of AI technology, with a focus on natural language processing 
• Implement microservices exposing AI technology  
• Develop and deploy infrastructure for hosting and operating AI models 
• Monitor and operate AI model serving infrastructure 
• Maintain operations of live services as issues arise on a rotational, on-call basis 
• Contribute to development of automation within production and deployment of features 
• Apply best practices to reliably build code that is based on well-established methods