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Tier-1 employer, metro locations, and a broadly visible backend lead role increases qualified candidate density.
Role requires deep finance risk domain knowledge and enterprise controls, reducing cross-industry transferability.
Explicit 12+ years plus mandatory Python, SQL, real-time systems, and enterprise controls drive strict filtering.
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Design and deliver secure, low-latency, scalable real-time Risk & PnL platforms for complex financial products such as Loans, Credit Derivatives, and Exotics.
Own technical design and implementation of distributed microservices and event-driven pipelines that support front-office trading, risk, and management reporting workflows with clear SLAs and high operational readiness.
Drive engineering standards including AI-assisted development practices, production excellence (incident management, root cause analysis, automation), and mentor engineers to raise architecture and craftsmanship quality.
12+ years of applied software engineering experience with formal training or certification in software engineering concepts.
Extensive hands-on production experience with Python services including design, testing, troubleshooting, and operational support.
Strong expertise in SQL and relational database design with ability to write performant queries.
Experience building real-time systems involving messaging, streaming, caching, and low-latency APIs; expertise in performance profiling and tuning (CPU/memory/IO).
Experienced in leading software design discussions with strong grasp of data structures, concurrency, and software design principles suitable for high-complexity financial systems.
Skilled at integrating AI-assisted software development tools responsibly within large enterprise SDLC environments to enhance code quality and delivery speed while ensuring security and compliance.
Capability to translate complex financial business needs into technical requirements and deliver scalable, resilient production-grade software iteratively in close collaboration with cross-functional teams.