Playing an instrumental role in the design, development, and maintenance of different state-of-the-art data cloud architectures.
Being a part of a multidisciplinary team implementing CI/CD and cloud infrastructure by using Terraform.
Analysing cloud services, detect different strengths and limitations, comparing the services to define which is the best strategy for the problem at hand as well as staying updated with the latest trends and best practices in cloud technologies and architectures.
Implementing and overseeing data security measures, ensuring compliance with data protection regulations in highly regulated environment.
Designing and implementing secure, robust and scalable solutions for our clients in the pharmaceutical industry, leveraging latest cloud technologies.
Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.
Defining the organization wide best practices and security standards across projects and solutions.
Collaborate with the sales and delivery teams to create proof of concepts (PoCs) and demonstrate technical feasibility of proposed solutions.
Requirements
A bachelor’s degree in: Computer Science, Engineering, Mathematics, or a related field.
5+ years of experience in solution architecture/cloud engineering working with 1 or more of the major cloud providers (Azure, AWS, GCP)
Extensive experience working with CI/CD providers such as GitHub Actions and/or Azure DevOps.
Strong verbal and written communication skills in English.
Strong ability to adapt quickly to customer custom infrastructure and contribute effectively to their specific needs and challenges.
Experience with infrastructure as code tools (e.g., Terraform).
Expertise in building and working with serverless architecture.
Strong ability to manage multiple projects and stakeholders simultaneously.
Experience in agile methodologies and project delivery frameworks.
Strong programming and scripting skills (e.g. Python, SQL, bash).
Optional: Experience with Azure OpenAI resources.
Optional: Experience with life science specific upstream source systems e.g. Veeva.
Optional: Proven experience in the pharmaceutical or healthcare industry.
Optional: Knowledge of containerization technologies (e.g., Docker, Kubernetes) for application deployment.
Optional: Relevant certifications e.g. AZ-303, AZ-304, SAA-C03, SAP-C01 etc.
Benefits
Health insurance. Remote work friendliness. Ongoing learning and development. Flexible schedules to fit your work to your routine. Contributions to physical, social, and emotional health. Home office setup with laptop and other electronic devices. The chance to help make a difference for patients around the world.
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