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Strong employer brand, metro location, and popular backend title increase competition.
Core backend skills transferable across industries but finance and quantitative modeling preferences increase domain specificity.
Explicit 10–14 years plus mandatory Python/Java, cloud, microservices and financial domain preferences.
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Lead backend development for scalable enterprise-level web applications and RESTful microservices using Python and Java in cloud (AWS/Azure) and on-prem environments.
Own data modeling, analysis, time series data anomaly detection, and dynamic backend computations for financial data-intensive applications.
Manage deployment, production issue resolution, and collaborate globally to improve solutions and adopt new technologies.
10 to 14 years of IT experience with 5+ years in Python backend development and REST API microservices.
Strong proficiency in Python (core concepts, functional and class-based design) and Java programming skills.
Experience with cloud platforms (AWS or Azure), and databases such as Oracle, SQL Server, Databricks, or Postgres.
Experience working in distributed Agile and Lean environments and familiarity with deployment/release engineering.
Strong quantitative and mathematical background with preference for finance domain experience.
Proven ability to architect end-to-end infrastructure for large-scale data gathering, cleaning, analysis, and model implementation.
Experienced in troubleshooting production issues independently and collaborating with global teams across regions.