When joining PerkinElmer, you select an experienced and trusted leader in scientific solutions, with the support of a global service network and distribution centers, providing the right solution, at the right time, to meet critical customer needs.  With over an 80+ year legacy of advancing science and a mission of innovating for a healthier world, our dedicated team collaborates closely with commercial, government, academic and healthcare customers to deliver our broad portfolio of analytical solutions, and OneSource services.

Location(s)

Job Description

Responsibilities:

• Maintain, enhance, and debug the homegrown MES application across the full stack — React frontend, C# REST API backend, and Microsoft SQL Server database.
• Develop new React components and UI features within the existing MES, ensuring consistency with established design patterns and coding standards.
• Build and maintain C# REST API endpoints using Entity Framework, including data access layer updates, business logic, and integration with SQL Server.
• Write, optimize, and maintain SQL Server queries, stored procedures, and schema changes to support application features and data integrity.
• Expert-level proficiency in Python and .vbs for data engineering tasks, including pipeline development, automation, data transformation, and integration (e.g., pandas, pyodbc, requests).
• Experience designing, implementing, and configuring both public and private API endpoints to enable seamless system integrations and scalable solutions.
• Maintain and improve Python data pipeline scripts that extract, transform, and load data between SAP, Salesforce, ServiceMax, SFTP, Email, and MES systems, ensuring reliability and performance.
• Navigate and contribute to a large, complex enterprise codebase, following established patterns and conventions while identifying opportunities for improvement.
• Collaborate with business stakeholders in Operations, Production, Quality, Engineering, Planning, Procurement, Service, Logistics and IT, to understand requirements, troubleshoot production issues, and deliver timely solutions.
• Participate in code reviews, contribute to technical documentation, and support team knowledge-sharing practices.

Basic Qualifications:

• Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent professional experience.
• 3+ years of professional software development experience with hands-on work across a full-stack environment.
• Proficiency in React, including component architecture, state management, and integration with REST APIs.
• Solid C# development experience, including building and maintaining REST APIs and working with Entity Framework for data access.
• 3+ years of experience with Microsoft SQL Server, including writing queries, stored procedures, and schema management in a production environment.
• 3+ years of Python scripting experience, with the ability to read, maintain, and improve existing pipeline and automation scripts.
• Demonstrated ability to work effectively within a large, established codebase — reading, understanding, and extending existing code without disrupting core functionality.
• Must be onsite to gather requirements, collaborate with cross-functional teams, and troubleshoot production issues in person.

Preferred Characteristics:

• Experience with Manufacturing Execution Systems (MES) or other enterprise operations software in an industrial or laboratory environment.
• Familiarity with SAP systems and experience integrating or extracting data from SAP via APIs or vbs scripted pipelines.
• Power BI development experience, including connecting reports to SQL Server data sources and building operational dashboards.
• Experience with version control systems (e.g., Git) and familiarity with CI/CD practices in an enterprise software environment.
• Strong problem-solving skills with a pragmatic approach to debugging and root-cause analysis in complex, integrated systems.