Senior Backend Engineer

On behalf of HealthTech Client #3 , Solstice Analytics 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 Solstice Analytics 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. By applying for this position, you agree to the terms outlined in our Privacy Policy. Please take a moment to review our Privacy Policy https://sd-solutions.breezy.hr/privacy-notice , and make sure you understand its contents. If you have any questions or concerns regarding our Privacy Policy, please feel free to contact us. Originally posted on Himalayas