Jain Global
Operations Tech Developer
New York, New York
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About the role
- Operations Tech Developer (Python / React)
- Jain Global is an innovative multi-strategy investment firm founded in July 2024 by Bobby Jain with over 400 employees operating from offices in New York, Houston, London, Singapore, and Hong Kong, we are looking to add to our growing teams.
Responsibilities
- Build and maintain full stack applications using React and Python
- Develop APIs and backend services
- Collaborate with product, data, and engineering teams to solve business problems
- Debug and optimize systems across frontend, backend, and data layers
- Take ownership of projects and deliver features end-to-end
- As an employer, we believe every individual brings with them unique diversity of thought and perspectives to meaningfully enrich perspectives of Jain Global teams to drive competitive performance.
Requirements
- Familiarity with Snowflake, AWS RDS / Postgres / MySQL, Git and modern development workflows
- Strong foundation in Python, React / TypeScript, REST APIs, and SQL
- Strong analytical and problem-solving skills
- Curious mindset with a willingness to learn quickly
- High work ethic and attention to detail
Nice to have
- Exposure to AWS or cloud infrastructure preferred, but not required
- Experience with Docker or CI/CD pipelines preferred, but not required
- Interest in AI/LLMs or data engineering preferred, but not required
Compensation
- Jain Global offers a total compensation package which includes a base salary, discretionary bonus, and comprehensive benefits.
- The estimated base salary range for this position is $120,000 to $180,000, which is specific to New York and may change in the future.
- When finalizing an offer, we take into consideration an individual's experience level and the qualifications they bring to the role to formulate a competitive total compensation package.
Company info
- Jain Global, LLC
Equal opportunity
- We are an Equal Opportunity Employer
This listing is sourced directly from Jain Global's careers page and normalized into a canonical job model.