Principal Integration Engineer
GSK (company site, opens in a new tab)7+ yrsBengaluruOn-siteDirect career pageEst. 30–50 LPA
Posted 15h ago
Reach people at GSK
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at GSK you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Lead design and implementation of data integrations across ISA-95 Levels 2, 3, and 5 connecting manufacturing, laboratory, and enterprise/R&D platforms.
- Own technical quality, troubleshooting, risk assessments, and compliance of integration solutions including secure APIs, event streams, and cloud/edge interfaces.
- Develop reusable integration patterns, lead cross-team technical delivery, and coach engineers for scalable manufacturing and laboratory data integration.
Minimum Requirements
- Bachelor's or master's degree in Engineering, Computer Science, IT, Automation, Life Sciences, or related technical discipline.
- Minimum 7+ years hands-on experience in enterprise IT, manufacturing OT, automation, data, or integration environments.
- Experience with ISA-95 Level 2 (PLC, SCADA, DCS), Level 3 (MES/MOM, LIMS/LES), and Level 5 (enterprise, cloud, R&D) system integrations.
- Experience with OPC UA, MQTT/Sparkplug B, REST APIs, event streaming, canonical data models, and secure integration design.
Ideal Candidate Profile
- Experienced in complex technical leadership roles managing integration solutions across multiple projects or sites in regulated manufacturing/laboratory contexts.
- Strong expertise in ISA-95 integration architecture, Factory Integration Layer patterns, and OT/IT security practices.
- Capable of bridging manufacturing engineering, automation, data engineering, cloud/IT, and scientific/R&D teams to deliver governed, context-rich integration services.