Senior Software Engineer, Cloud Application Development, R&D Digital Products

We are looking for an innovation-centric Senior Cloud Application Engineer (R&
D) to join our IT R&
D (Research &
Development) Team who is passionate about coding, designing, developing, and maintaining cloud-based software applications to support R&
D business requirements. The Cloud Application Engineer will also be responsible for leading the developers in Product-oriented-delivery teams, providing technical guidance, and ensuring that the PODs are executed on time and within budget working with a team of architects and developers. The Cloud Application Engineer will support Research, Discovery and Development activities on AWS, Azure and leverage tools and frameworks such as Docker, Kubernetes and Terraform to build and deploy scalable and resilient applications.
This position will be based out of Princeton, NJ and will be onsite 60% of the time.
Your Responsibility:
Execute the design, development, and deployment of a robust and scalable cloud-based applications and platforms tailored for R&
D functions such as Research Informatics, SDMS (Scientific Data Management System), Lab Management Systems, Lab and Data Integrations, Research Data products, Pathology, Imaging, Pharmacology, Development Operations etc.
Leverage automated scripting for software deployment, deploy IaC and spin up resources for software stacks working with the application, platform and/or networking teams.
Build and maintain efficient data pipelines to handle large-scale data acquisition, storage, and processing.
Enable migrations to the cloud, configure cloud infrastructure components like networking and security services, create applications and databases that perform on the cloud, monitor cloud management and data storage services.
Embed machine learning, artificial intelligence and Gen AI capabilities into the cloud applications and solutions to enable predictive analytics, data mining, and pattern recognition for driving productivity and efficiency in solutions delivered.
Collaborate with multidisciplinary teams to understand domain-specific requirements and translate them into technical solutions for development.
Ensure the security, reliability, and performance of the platform, adhering to best practices for cloud infrastructure.
Embrace the Agile framework, the iterative and incremental approach for solving technical problems and imbibe test-first practices to ensure application development delivers right the first time while leveraging re useable components.
Continuously discover and evaluate options for development efficiency. Contribute to code reviews, documentation, and knowledge sharing within the engineering team.
Collaborate closely with cross-functional teams, including Technical Product Owners, Technical Delivery leads, developers, UI/UX SMEs, data engineers, visualization engineers, data scientists, AI/ML Engineers, Bioinformaticians, and domain experts, to build scalable data pipelines, integrate machine learning models, and ensure seamless application and platform functionality.
Play a pivotal role in designing, developing, and maintaining a state-of-the-art cloud-based platform that empowers our scientists and researchers in R&
D.