Remote, but you must be in the following locations
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 Opmed.ai’s 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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