Resource Informatics Group
Senior Tech Lead
Location: NYC, Dallas, and Charlotte - Hybrid
Duration: 12+ Months
Requirements Overview We are actively seeking a highly experienced Senior Technology Lead to drive end-to-end delivery of large-scale, business-critical software solutions for leading global financial institutions. This role offers a unique blend of hands‑on technical leadership (60%) and strategic mentorship/client engagement (40%). You will lead cross‑functional development teams, architect innovative solutions, build and present Proof‑of‑Concepts, and champion the adoption of modern technologies including AI/GenAI across risk, audit, and capital markets domains.
Required Qualifications
Bachelor's degree in Computer Science, Engineering, or related field
15+ years of hands‑on software development experience with proven expertise across full stack (front‑end, back‑end, data)
5+ years leading large and mentoring teams through large‑scale digital transformations across software, data and AI
Deep expertise in .NET ecosystem (C#, ASP.NET Core, Entity Framework/Dapper ORM, SQL Server)
Proficiency in modern front‑end frameworks (React, Angular, or Vue), relational databases, and cloud platforms (Azure, AWS, or Google Cloud Platform), CI/CD SLDC
Strong understanding of event‑driven architectures, microservices, caching strategies, and messaging solutions (e.g., Solace, SignalR, Apache Ignite), Cloud migration strategy and architecture patterns
Hands‑on experience designing and building AI/ML and GenAI solutions, with ability to architect scalable data pipelines
Domain familiarity with financial services, risk technology, audit, or capital markets operations
Agile expertise: proven experience with Scrum/Kanban, Jira, Confluence, Test Driven Development (TDD, Automated Testing and collaborative development practices)
Excellent communication skills: ability to present technical solutions to both technical teams and executive stakeholders
Hands‑on knowledge of legacy system analysis and modern platform rewrites
Familiarity with regulatory and compliance requirements in financial services
Key Responsibilities Lead cross‑functional development teams in designing, building, and delivering enterprise‑scale software platforms for financial services clients. Own end‑to‑end technical delivery: requirements analysis, architecture design, hands‑on development, code reviews, and post‑production support. Conduct design reviews, drive architectural decisions, and establish engineering best practices across teams. Design and implement scalable systems using modern patterns (microservices, event‑driven architecture, cloud‑native design).
Innovation & AI/GenAI Solutions
Build and present Proof‑of‑Concepts (PoCs) for AI, machine learning, and generative AI solutions tailored to client challenges in risk, audit, and capital markets
Drive the architecture and development of AI/LLM‑based solutions and modern data pipelines
Make informed technology decisions (build vs buy) backed by research and prototyping
Client Engagement & Delivery Excellence
Translate complex business requirements into scalable technical solutions; engage with financial services executives on technology strategy
Ensure solutions align with client business needs, regulatory requirements, and operational constraints
Balance delivery timelines, quality standards, and team capacity while maintaining a delivery‑focused culture
Team Mentorship
Mentor senior engineers and development teams, fostering collaboration, skill development, and best practices
Build reusable components and maintain rigorous documentation standards
#J-18808-Ljbffr
Duration: 12+ Months
Requirements Overview We are actively seeking a highly experienced Senior Technology Lead to drive end-to-end delivery of large-scale, business-critical software solutions for leading global financial institutions. This role offers a unique blend of hands‑on technical leadership (60%) and strategic mentorship/client engagement (40%). You will lead cross‑functional development teams, architect innovative solutions, build and present Proof‑of‑Concepts, and champion the adoption of modern technologies including AI/GenAI across risk, audit, and capital markets domains.
Required Qualifications
Bachelor's degree in Computer Science, Engineering, or related field
15+ years of hands‑on software development experience with proven expertise across full stack (front‑end, back‑end, data)
5+ years leading large and mentoring teams through large‑scale digital transformations across software, data and AI
Deep expertise in .NET ecosystem (C#, ASP.NET Core, Entity Framework/Dapper ORM, SQL Server)
Proficiency in modern front‑end frameworks (React, Angular, or Vue), relational databases, and cloud platforms (Azure, AWS, or Google Cloud Platform), CI/CD SLDC
Strong understanding of event‑driven architectures, microservices, caching strategies, and messaging solutions (e.g., Solace, SignalR, Apache Ignite), Cloud migration strategy and architecture patterns
Hands‑on experience designing and building AI/ML and GenAI solutions, with ability to architect scalable data pipelines
Domain familiarity with financial services, risk technology, audit, or capital markets operations
Agile expertise: proven experience with Scrum/Kanban, Jira, Confluence, Test Driven Development (TDD, Automated Testing and collaborative development practices)
Excellent communication skills: ability to present technical solutions to both technical teams and executive stakeholders
Hands‑on knowledge of legacy system analysis and modern platform rewrites
Familiarity with regulatory and compliance requirements in financial services
Key Responsibilities Lead cross‑functional development teams in designing, building, and delivering enterprise‑scale software platforms for financial services clients. Own end‑to‑end technical delivery: requirements analysis, architecture design, hands‑on development, code reviews, and post‑production support. Conduct design reviews, drive architectural decisions, and establish engineering best practices across teams. Design and implement scalable systems using modern patterns (microservices, event‑driven architecture, cloud‑native design).
Innovation & AI/GenAI Solutions
Build and present Proof‑of‑Concepts (PoCs) for AI, machine learning, and generative AI solutions tailored to client challenges in risk, audit, and capital markets
Drive the architecture and development of AI/LLM‑based solutions and modern data pipelines
Make informed technology decisions (build vs buy) backed by research and prototyping
Client Engagement & Delivery Excellence
Translate complex business requirements into scalable technical solutions; engage with financial services executives on technology strategy
Ensure solutions align with client business needs, regulatory requirements, and operational constraints
Balance delivery timelines, quality standards, and team capacity while maintaining a delivery‑focused culture
Team Mentorship
Mentor senior engineers and development teams, fostering collaboration, skill development, and best practices
Build reusable components and maintain rigorous documentation standards
#J-18808-Ljbffr