Optimize cloud solutions for receiving, processing, and sorting essential information gathered from client end resources like mobiles, desktops, and web apps
Develop flexible architectures to support multiple data sources - devices, wearables, and medical data systems
Work closely with algorithm and data sciences team to fine-tune data architecture for transformation, storage, and interfaces to support data processing and machine learning algorithms
Identify and eliminate technical risks understanding core use cases in pre-development under design control
Lead different teams through different design requirements necessary for defined architecture
Oversee project execution and ensure architecture and detailed design
Actively participate in the implementation of a software ecosystem
Lead development projects to ensure products meet business requirements and maintain best practices
Work closely on technical documentation of software architecture and design specifications
Guide and mentor the software engineering team
Job Requirements:
Bachelor s/Master s degree in Engineering, Computer Science (or equivalent experience)
A minimum of 8 years of experience in software engineering
3+ years experience working as a tech lead or handling projects based on cloud services or data platforms
Extensive knowledge of cloud-based services like Azure and AWS and their best practices
Knowledge of use case analysis in defining service-oriented architectures based on AWS or Azure
Previous experience of leading software development projects - architecture, design, and deployment while staying true to project requirements
Well be versed with software development with components like services deployment and cloud hosting using Python, Java, and/or C#
Deep understanding of REST, SOAP, and databases like SQL and NoSQL and related services
Good to have experience in system design methodology using iDesign
Ability to create time series using data from multiple resources allowing transformation and processing chains
Experience data streaming technologies like Hadoop, Spark, and ML services like AWS SageMaker will be an added bonus
Must have experience in cross-functional development of hardware and software integrated products for quality assurance, electrical and mechanical engineering, marketing, and program management.
Familiarity with medical devices in similarly regulated environments and medical systems like EMR using HL7 FHIR standards
Fluency in English and exceptional written and communication skills
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