Cloud Software Engineer

1 month ago

Ballerup, Ballerup Kommune, Denmark Novo Nordisk AS Full time

Are you a skilled software engineer looking for a new challenge? Do you want to play a pivotal role in designing, developing, and deploying cloud-based software solutions that support research and innovation? We are seeking a talented engineer to join our team and contribute to the development of scalable and robust platforms and solutions.

The Position

As a software engineer, you will be responsible for designing, developing, and maintaining cloud-based software solutions, as well as data engineering pipelines that support our research initiatives. You will collaborate with cross-functional teams, including data scientists, bioinformaticians, and other engineers, to deliver scalable and robust platforms and solutions. Your expertise in cloud deployment, software and data engineering, and your familiarity with computational biology, computational drug design, and/or genetics will be important for driving our projects forward.

Main Responsibilities

  • Cloud Engineering: Deploy and manage cloud infrastructure on platforms such as AWS or Azure.
  • Software Engineering: Develop, deploy, and maintain scientific software solutions.
  • Data Engineering: Develop and maintain data pipelines and ETL processes to ensure efficient data flow and integration.
  • Collaboration: Work closely with data scientists, bioinformaticians, and other stakeholders to understand requirements and deliver solutions that meet their needs.
  • Continuous Integration & Deployment: Implement CI/CD pipelines to automate testing, deployment, and monitoring of applications.
  • Innovation: Stay up-to-date with the latest industry trends and technologies, and proactively suggest improvements to our platforms and processes.

Qualifications

  • A Master's or PhD degree in Computer Science, Engineering, Bioinformatics, or a related field.
  • 2+ years of experience as a Cloud, Software, and/or Data Engineer with a strong portfolio of cloud-based solutions.
  • Hands-on experience with cloud platforms such as AWS or Azure and with database technologies, both SQL and NoSQL.
  • Proficiency in enterprise-level software engineering, preferably with Python. Knowledge of.NET would be a plus.
  • Understanding of data science within computational biology, computational drug design, or genetics is an advantage.

About the Department

Our department is part of Digital Science & Innovation (DSI), which supports the digital journey across all our therapy areas in Research & Early Development (R&ED). We work in multidisciplinary teams, collaborating with all areas across R&ED and DD&IT R&ED. We participate in drug development projects across the value chain, from early discovery to pre-clinical development. We engage in external collaborations to ensure access to the latest research and technology enablers, and we automate our labs and processes, and we focus on developing and retaining top talent.

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