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.
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.
Skills Required
- 5+ years experience as a Backend Engineer in a fast-paced SaaS environment
- 3+ years backend development with Python and web frameworks (Django, Flask) and data manipulation libraries
- REST API design and development experience
- Experience in a Cloud Native environment such as AWS
- Experience with relational databases (PostgreSQL/MySQL) and NoSQL databases
- Excellent SQL knowledge with advanced analytics orientation
- Strong understanding of data and schema standards and concepts
- Experience with code testing methodologies and frameworks
- Experience with CI/CD methodologies
- Comfortable using Git and issue tracking systems
- Strong expertise in agile development and ability to adapt to changing priorities
- Fluent in English, both written and verbal
- Can-do approach, critical thinking, ownership, communication and collaboration skills
- Experience as a Backend and Data Engineer working with data
- Experience building scalable data pipelines
- Background in MLOps
