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Tier-1 brand, common backend title, metro role and broad skillset create high applicant competition.
Core backend skills transfer across industries but finance and quantitative experience preference increases domain specificity.
Explicit 10–14 years requirement plus mandatory Python/Java, cloud, and microservices raises shortlisting strictness.
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Lead backend service development including design, implementation, deployment, and support of scalable enterprise-level web applications and RESTful APIs using microservices architecture.
Own data modeling, time series data analysis, anomaly detection, and dynamic backend computation for financial datasets, creating end-to-end data infrastructure for gathering, cleaning, signal generation, and model implementation.
Collaborate globally to maintain high-quality Python and Java backend code, optimize large dataset processing, and troubleshoot production issues promptly.
10 to 14 years of IT experience with 5+ years in Python backend development and REST API microservices.
Strong programming skills in Python and Java, including expertise in Python core concepts, multi-processing, threading limitations, and common libraries (NumPy, Pandas, matplotlib, SALib, Scikit-learn).
Experience with cloud platforms AWS or Azure, and databases like Oracle, SQL Server, Databricks, Postgres.
Work Experience Required: 10-14 years with specified Python backend and microservices experience.
Experienced in financial domain or quantitative finance, with strong mathematical and statistical background valuable for time series and anomaly detection.
Proven ability to manage multiple projects in distributed Agile and Lean environments with accountability for quality and deadlines.
Skilled at working in global, cross-functional teams to continuously improve technical solutions and adopt new technologies relevant to financial services data and analytics.