Cloud DevOps Engineer

About The Advanced Analytics Team

The central Advanced Analytics team at the Abbott Established Pharma Division’s (EPD) headquarters in Basel helps define and lead the transformation towards becoming a global, data-driven company with the help of data and advanced technologies (e.g., Machine Learning, Deep Learning, Generative AI, Computer Vision). To us, Advanced Analytics is an important lever to reach our business targets, now and in the future; It helps differentiate ourselves from our competition and ensure sustainable revenue growth at optimal margins. Hence the central AA team is an integral part of the Strategy Management Office at EPD that has a very close link and regular interactions with the EPD Senior Leadership Team.

Primary Job Function

With the above requirements in mind, EPD is looking to fill a role of a Cloud DevOps Engineer reporting to the Head of AA Product Development. The Cloud DevOps Engineer will be responsible for developing, running, and continuously refining an easy-to-use, modern, and cost-effective cloud platform. This role involves leading cloud initiatives, ensuring robust cloud infrastructure, and driving innovation in cloud technologies to support the business's advanced analytics needs.

Core Job Responsibilities

• Support the development and maintenance of company-wide frameworks and libraries that enable faster, better, and more informed decision-making within the business, creating significant business value from data & analytics.
• Ensure data availability and accessibility for prioritized Advanced Analytics scope, and maintain stable, scalable, and modular data science pipelines from data exploration to deployment.
• Acquire, ingest, and process data from multiple sources and systems into our cloud platform (AWS), ensuring data integrity and security.
• Collaborate with data scientists to map data fields to hypotheses, and curate, wrangle, and prepare data for advanced analytical models.
• Implement and manage robust security measures to ensure compliant handling and management of data, including access strategies aligned with Information Security, Cyber Security, and Data Privacy principles.
• Develop and deploy smart automation tools based on cloud technologies, aligned with business priorities and needs.
• Oversee the timely delivery of Advanced Analytics solutions in collaboration with business stakeholders, ensuring alignment with business goals.
• Collaborate closely with the Data Science team and AI Engineers to understand their platform needs and lead the development of solutions that support their work.
• Troubleshoot and resolve issues related to the AWS platform, ensuring minimal downtime and optimal performance.
• Define and document best practices and strategies regarding application deployment and infrastructure maintenance.
• Drive continuous improvement of the AWS Cloud platform by contributing and implementing new ideas and processes.
  
  

Supervisory/Management Responsibilities

• Direct Reports: None.
• Indirect Reports: None.
  
  

Position Accountability/Scope

The Cloud DevOps Engineer is accountable for delivering targeted business impact per initiative in collaboration with key stakeholders. This role involves significant responsibility for the architecture and management of Abbott's strategic cloud platforms and AI/AA programs, enabling faster, better, and more informed decision-making within the business.

Minimum Education

Master in relevant field (e.g., computer science, electrical engineering)

Minimum Experience/Training Required

• At least 5 years of relevant experience, with a strong track record in deploying solutions/applications on AWS cloud environment
• Proven ability to work across structured, semi-structured, and unstructured data, extracting information and identifying linkages across disparate data sets.
• Proficiency in multiple programming languages – Javascript, Python, Scala, or Java.
• Extensive knowledge and experience with various database technologies, including distributed processing frameworks, relational databases, MPP databases, and NoSQL data stores.
• Deep understanding of Information Security principles to ensure compliant handling and management of data.
• Significant experience with cloud platforms, preferably AWS and its ecosystem.
• Advanced knowledge of development in CICD (Continuous Integration and Continuous Delivery) environments.
• Strong background in data warehousing / ETL tools.
• Proficiency in DevOps practices and tools such as Jenkins, Terraform, etc.
• Proficiency in serverless architecture and services like AWS Lambda.
• Understanding of security best practices and implementation in cloud environments.
• Ability to understand business objectives and create cloud-based solutions to meet those objectives.
• Result-driven, analytical, and creative thinker.
• Proven ability to work with cross-functional teams and bridge the gap between business and data science.
• Fluency in English is a must; additional languages are a plus.
  
  

Additional Technical Skills

• Experience with front-end frameworks preferably React JS.
• Knowledge of back-end frameworks like Django, Flask, or Node.js.
• Familiarity with database technologies such as RedShift, MySQL, or DynamoDB.
• Understanding of RESTful API design and development.
• Experience with version control systems like CodeCommit.