HealthTech Client #3 | Senior Backend Engineer

On behalf of HealthTech Client #3 SD Solutions is looking for a highly skilled and motivated Senior Backend Engineer with a passion for startups and ideally genuine interest in ML and Data to join our team

SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer.

Responsibilities:

• Lead the development of critical backend services within the product
• Design & Implement architectural improvements to enable scalability and robustness of our backend solution
• Design and maintain schemas and data structures for our product.
• Develop data integration processes and pipelines
• Create ETL/Streaming processes to ingest & transform diverse data from customers
• Establish scalable efficient automated processes for large-scale data analyses

Requirements:

• 5 years of experience as a Backend Engineer in a fast-paced SaaS environment
• At least 3 years of experience in backend development - preferably Python relevant web frameworks (eg. Django Flask) and data manipulation libraries
• REST API design and development experience
• Experience in a Cloud Native environment such as AWS - a must.
• Experience with both relational databases - e.g. PostgreSQL / MySQL - and NoSQL DBs
• Excellent knowledge of SQL with advanced analytics data orientation
• Very good understanding of data and schema standards and concepts
• Experience with Code Testing methodologies and frameworks
• Experience with CI/CD methodologies
• Comfortable with using Git source version control and issue tracking systems
• Strong expertise in agile development and ability to adapt to changing business priorities
• Can-do approach critical thinking thirst for knowledge and drive for bringing real impact
• Accountability & high sense of ownership for your work
• Excellent decision-making communication and collaboration skills
• Fluent in English both written and verbal

Advantages:

• A Solid experience as a Backend and Data Engineer or a similar role working with data.
• Experience in building scalable data pipelines & the challenges involved
• Background in MLOps

About the company:

An AI-driven startup focused on optimizing healthcare operations. The platform applies artificial intelligence network science and advanced optimization algorithms to help healthcare providers improve planning scheduling and operational efficiency enabling better patient care through smarter resource management.

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