Full-Stack Cloud Developer at Emerson contributing to Life Sciences integration solutions. Responsible for designing and developing innovative software for business and manufacturing systems.
Responsibilities
Design and implement scalable, cloud-ready software solutions that align with business and manufacturing integration needs.
Translate complex requirements into secure, maintainable, and high-performing features.
Build cloud-native APIs and services optimized for deployment and operation within Microsoft Azure.
Develop and maintain data integration and transformation processes to support seamless connectivity between systems.
Apply secure coding, SOLID principles, and clean architecture while adopting cloud-native patterns such as microservices, domain boundaries, and event-driven design to deliver scalable, resilient, enterprise-grade cloud systems.
Ensure efficient and reliable deployments through well-structured CI/CD pipelines in Azure DevOps, collaborating with DevOps teams to maintain automation and release quality.
Maintain disciplined development practices with a strong focus on performance, security, and maintainability.
Drive engineering excellence through code reviews, collaboration, and ownership — managing ambiguity effectively to deliver reliable, production-grade outcomes.
Collaborate closely with product owners, architects, and cross-functional teams to deliver high-quality, reliable results.
Requirements
5–7 years of full-stack development experience, preferably in business or manufacturing system integration projects.
Proficiency in .NET 6/7/8 (C#) with ASP.NET Core Web API, and front-end development using React (TypeScript) or Angular.
Experience deploying and operating applications in Azure Cloud, with familiarity in App Service, AKS, Azure SQL, or Azure Storage.
Understanding of secure coding practices, SOLID principles, and clean architecture, with exposure to cloud-native patterns such as microservices and event-driven architectures.
Knowledge of data modeling, data transformation, and integration across multiple systems.
Awareness of ETL concepts such as data ingestion, transformation, and workflow management, along with familiarity with Docker, Kubernetes, and Helm charts for containerized deployments.
Strong communication and collaboration skills, with the ability to work effectively across cross-functional and distributed teams.
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