below marketmost similar roles pay hereabove market
This role pays more than
74%
of similar roles. Most pay
$169,550–$258,250
— the blue band above.
At the midpoint, this role pays about
$257k
versus about
$214k
for comparable roles.
Based on 240 similar postings.
Employer
About Abbott
Abbott Laboratories is a global healthcare company that manufactures and markets a broad and diversified line of health care products including diagnostics, medical devices, nutritionals, and branded generic pharmaceuticals. Industry: Healthcare & Medical Devices
Abbott currently has
149 open roles
on FindRole.
Listed pay typically runs
$90,000–$180,000
across 103 roles with salary data.
The Engineering Director, Digital Platform leads the global platform software engineering organization responsible for the AlinIQ Digital Health Platform. This leader owns engineering execution, platform architecture, cloud strategy, cybersecurity, interoperability, AI enablement, data platforms, developer experience, and operational excellence for the foundational technology ecosystem supporting Abbott Diagnostics’ operational and clinical digital solutions. The role involves architecting and operating enterprise-grade SaaS, cloud-native, and data-intensive platforms while transforming legacy monolithic architectures into scalable, resilient solutions. Key technologies include Azure, AWS, Google Cloud, Kubernetes, Oracle, PostgreSQL, SQL Server, and NoSQL databases. The position requires expertise in microservices, event-driven architectures, and healthcare interoperability standards like HL7 and FHIR. The work focuses on designing secure systems that protect sensitive healthcare data, including PHI and PII, within regulated environments.
DevOps
DevSecOps
CI/CD
Machine Learning
AI
Cybersecurity
Data Engineering
PostgreSQL
No-SQL
SaaS
Microservices
Edge Computing
Infrastructure as Code
HL7
FHIR
Robotics
Firmware
Digital Twin
RFID
Bluetooth
WiFi
GPS
Agile
Laboratory Information Systems
API
Computer Vision
Generative AI
Kubernetes
Hybrid-Cloud
Distributed Systems
Cloud-Native
Infrastructure Automation
Observability
Data Engineering
Machine Learning
Retrieval-Augmented Generation
Platform Engineering
Data Governance
Reliability Engineering
Storage Systems