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Strong Tier-1 brand, metro location, and generalist senior SWE title drive high applicant competition.
Core backend and data engineering skills are transferable, though financial-data domain experience moderately increases sensitivity.
Explicit 7+ years plus mandatory backend, data, and production-systems skills create high shortlisting strictness.
Design, build, and operate scalable, reliable software platforms handling acquisition, processing, enrichment, and distribution of company financial data.
Own end-to-end technical design and delivery, converting product and data requirements into robust engineering solutions.
Mentor engineers, influence architecture, and lead technical excellence initiatives within the team.
7+ years of hands-on software engineering experience in production systems.
Strong programming skills in Python and/or JavaScript/TypeScript with solid knowledge of data structures, algorithms, and OOP design.
Experience designing distributed, scalable, and fault-tolerant systems including microservice and event-driven architectures.
Strong knowledge of relational databases and SQL; experience with NoSQL, distributed caches, or messaging systems like Redis or RabbitMQ.
Experienced in building backend services, data-processing pipelines, and APIs for high-volume financial data workflows.
Proven ability to take ownership of ambiguous technical problems and make sound architectural decisions across global teams.
Familiarity with modern software delivery, system modernization, and financial domain data platforms, ideally with exposure to AI/ML data-processing workflows.