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Designs, develops, and delivers secure, scalable Java full‑stack applications on cloud platforms. Implements microservices and REST APIs, writes high‑quality production code and tests, troubleshoots complex issues, creates architecture artifacts, analyzes large datasets for improvements, and leverages enterprise AI-assisted coding tools while maintaining secure, resilient practices and contributing to engineering communities.

Lead Security Engineer responsible for designing and building secure Python-based services, conducting threat modeling, vulnerability assessments, secure code development/reviews, and integrating AI-assisted security practices across cloud, container, and CI/CD environments while working with stakeholders to ensure auditability and resiliency.

Own daily P&L and risk substantiation for CIO/Treasury desks, lead Front Office signoff, oversee junior team controls, reconcile system feeds, run Market Risk controls (VaR back-testing), support new product onboarding and booking strategy, drive process improvements, partner across functions globally, and support CSA, SOX and BCC control frameworks.

Design and deliver secure software architecture, perform threat modeling and security risk analysis, implement and validate AI-assisted security workflows, produce architecture artifacts, identify gaps and mitigations, and collaborate with engineering teams to improve code quality and system resilience.

Lead design, implementation, and lifecycle management of HSM and cryptographic infrastructure (Thales/FutureX). Create architecture, runbooks, and diagrams; drive migrations, DR, and compliance (PCI, FIPS). Troubleshoot Linux/Unix systems, OpenSSL and certificate auth, cloud KMS/HSM, and automate via Terraform. Collaborate cross-functionally on standards, participate in risk assessments, audits, and incident response, and validate AI-assisted security outputs.

Lead design and deliver multi-cloud security and continuous compliance solutions across Azure/AWS/GCP. Build automated preventive/detective/corrective controls, implement audit-ready observability, author production code (Python/Go, with Java integrations), optimize CI/CD (Jenkins), operate Kubernetes/workflow orchestration, integrate enterprise systems, and drive secure, resilient engineering and responsible AI-assisted development practices.

Lead delivery of complex Snowflake and data-related technology programs. Develop project plans, manage risks, resources, budgets, and vendors; collaborate with engineering, product, and business stakeholders; apply analytical reasoning to optimize program performance; champion agile practices and continuous improvement.

Lead multiple engineering teams to define multi-year strategy and target architecture for batch (PySpark/DBX) and streaming (Flink) compute platforms. Own roadmaps, SLAs/SLOs, reliability, cost optimization, developer experience, and secure-by-design implementations. Integrate compute platforms with AI frameworks, define reference patterns for processing, observability, lineage, and reliability, and partner with product, data, and governance stakeholders to deliver compliant, scalable platform services.

Support Commercial Banking Credit Risk Leadership with strategy, operations, and financial oversight. Drive resourcing, vendor oversight, forecasting, and spend analysis. Produce presentations, maintain documentation on collaboration platforms, use BI tools to improve processes and controls, and respond to ad-hoc requests to support decision-making and operational efficiency.

Lead design and implementation of enterprise security solutions for API-first services. Develop and review secure production code, perform threat modeling, vulnerability and penetration testing, integrate identity and API security (OAuth/SAML), validate AI-assisted security outputs, and provide technical guidance to stakeholders, teams, contractors and vendors.