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Description:
Palta is a multi-product tech platform developing mobile apps focused on health and well-being, with over 60 million monthly active users.
The company has successfully raised $100 million in a Series B round and is experiencing a 50% year-over-year revenue growth.
The Lovi app is an AI cosmetologist that evaluates skin conditions and provides personalized skincare programs.
The backend developer will be responsible for improving backend services, enhancing reliability, security, and effectiveness of the infrastructure.
The role involves implementing new user scenarios, improving analysis algorithms, and developing data processing pipelines.
The backend should support interactive user traffic, inferencing machine learning models, aggregating data sources, and processing logs data.
The position requires building a good monitoring system, tests, CI/CD pipelines, and working with cloud solutions.
The company is looking for a solid professional to build the backend infrastructure and potentially lead the team in the future.
Requirements:
Candidates must have knowledge of Go, Python, or any other imperative programming language and a willingness to learn Go and Python.
Experience in developing high compute-consuming systems is required.
Familiarity with web frameworks such as Flask or Django is necessary.
Candidates should understand major system design concepts, including load balancing, caching, and databases.
Familiarity with modern cloud systems like AWS, Google Cloud, or MS Azure is essential.
A passion for healthcare, helping people, and launching innovative products is expected.
Benefits:
Employees have the opportunity to launch a new product from scratch and significantly improve people's lives.
Working closely with experienced co-founders provides valuable learning opportunities and career prospects.
The company utilizes the latest technologies and tools without legacy or technical debt.
The role offers hands-on experience in various ML-related topics without requiring prior ML background.
Experience working with personal and medical data is rare and valuable in the market.
Joining the startup at an early stage presents opportunities for leadership roles and benefits from the employee stock ownership plan.