Philips Senior Software Technologist 

India, Karnataka 

966563414

Senior Software Technologist
Job Description

You will be part of the

You are responsible for:

• Analyses, designs, tests, codes, secures, debugs, modifies, deploys, integrates and maintains (system) software enhancements, test environment and/or new software.
• Uses state-of-the-art technologies and practices.
• Interacts with users / product owners to define / adjust requirements and/or necessary modifications.
• Keeps abreast of technical developments and practices in own field through literature, courses/trainings, technical contacts, and competitive environment.
• Applies agile software development methods as a member of agile teams.
• Works closely with software architects to build platform components, migrate existing software assets and knowledge into platform components, and assist with the integration of products and solutions into the platform.
• Leverages HSP Cloud and AWS Cloud technologies to provide a healthcare-specific, highly scalable and flexible domain platform for use in diagnostic monitoring, remote patient monitoring, and therapy monitoring.
• Support the development of event streaming, data warehousing, data mart, data lake, and lakehouse architectures for high volume, high velocity telemetry and clinical data for multiple products and systems.
• Work with Chief Architect Office and Data CoE to leverage AI ToolSuite architecture and components to build business intelligence and artificial intelligence capabilities.
• Support the transition of self-managed or self-hosted backing service clusters to HSP brokered services, library or code changes to support the transition, and performance testing efforts and configuration tuning to ensure the technologies meet SLOs. To include Neo4J to AWS Neptune, Confluent Kafka to AWS MSK, and self-hosted Redis to HSP brokered Redis.

Skill Set for Data/AI Engineer:

• Technology: AWS Aurora, S3, Athena, EMR, SageMaker, Python, TensorFlow
• Process: Agile

Scope of work for Data/AI Engineer:

• Creation of high volume/velocity data architecture
• Consenting and data sharing infrastructure for multitenancy
• Rules/Algorithm execution runtime and deployment
• Implementation of data warehouses, marts, and lakes
• Implementation of event stream and message bus