Sr Associate Software Engineer Full Stack
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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, common full-stack title, metro location, and broad skillset increase competition.
Skills are broadly transferable across industries, though regulated life-sciences experience is preferred.
Explicit 5–9 years plus mandatory full-stack, API, cloud, and regulated-experience requirements increases selectivity.
Job Description
Structured overview of role & requirementsAbout This Role
Own development and maintenance of full-stack production components including frontend, backend, APIs, integration, database, testing, and support.
Design and deliver scalable, secure software for enterprise supply chain analytics using modern JavaScript/TypeScript frameworks (preferably React) and backend technologies like Python/FastAPI, Node.js, Java, or C#.
Collaborate across product, architecture, data, and platform teams to translate requirements into reliable software and provide ongoing production support including monitoring and troubleshooting.
Minimum Requirements
Bachelor's or Master's degree in Computer Science, Software Engineering, IT, or related field.
5 to 9 years of relevant software engineering experience.
Strong hands-on experience in JavaScript or TypeScript with modern frontend frameworks (preferably React) and backend development using Python/FastAPI, Node.js, Java, or C#.
Experience designing and supporting RESTful APIs, microservices, relational databases (e.g., PostgreSQL, Oracle), cloud services, Docker, Kubernetes, and production support practices.
Ideal Candidate Profile
Demonstrated end-to-end ownership of at least one production software component covering frontend, backend, or API layers in a full-stack capacity.
Comfortable working with global, cross-functional teams in agile environments, focusing on stable, secure, and maintainable enterprise solutions.
Experienced in regulated enterprise environments such as life sciences, supply chain, or healthcare and familiar with cloud-native deployment and observability tools.