These candidates will work predominantly on the backed of the application design and developing Secure, Scalable System architecture, developing multiple APIs and performing system integration into multiple SSA Systems. The Data side of the platform uses extensive Python, so candidates must have both strong Java experience and Python experience. It's hosted in an AWS Cloud environment, so candidate should have a basic understanding of AWS Cloud and basic CI/CD Pipelines. That said, they DO NOT need to be, nor are we looking for, a DevOps Engineer
Insight Global expects to pay 120K - 150K for this position based on the candidates background and level of experience
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HR@insightglobal.com.
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Bachelors Degree and 8 10 years software development experience. Must be senior level with Backend Java, and mid to senior level with Python
Experience leading the design and development of backend infrastructure and system architecture, developing and maintaining backend services, APIs, and data pipelines
Maintain comprehensive technical documentation for future reference and ongoing system maintenance
Experience with cloud platforms (AWS, Azure) and containerization (Docker, Kubernetes)
Expertise in system architecture, backend development, and API development
Knowledge of microservices architecture and RESTful services
Experience with database systems, both SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra)
Familiarity with CI/CD pipelines and version control systems like Git
Proven expertise with Python multiprocessing and multithreading libraries
Strong experience in real-time, performance-based production Python applications
Proficiency in PyTorch and experience with performance-optimized model training
Solid understanding of CPU and GPU processing, with experience optimizing systems for both
Oversee code quality, enforce software development best practices, and perform code reviews
Provide technical guidance and mentorship to junior developers and engineers
Experience integrating AI and machine learning models, particularly in NLP and large language models (LLMs), into production systems
Experience in healthcare, particularly working with unstructured medical records in clinical settings, leveraging NLP models for information extraction
Experience working with human-in-the-loop systems, incorporating clinician/end-user feedback to improve AI model accuracy
Educational background or practical training in a clinical setting, with exposure to clinical workflows and medical terminologies
Familiarity with deep learning techniques, attention mechanisms, and transformers applied to healthcare data
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.