Backend Developer implementing scalable APIs and microservices for AI - powered crisis monitoring tool. Collaborating with product, machine learning, and infrastructure teams.
About the role
- Software Technical Lead leading architectural evolution of .NET codebase and AI feature design at U.S.-based financial services firm with 30 years of experience.
Responsibilities
- Lead the architectural evolution of a large, shared .NET codebase toward scalable, cloud-native, multi-tenant solutions
- Design and implement AI-enhanced features using Azure AI Services, OpenAI APIs, or equivalent frameworks to automate workflows and improve data analysis
- Oversee full-stack development across React front-end and .NET backend services
- Modernize legacy desktop and monolithic systems into service-oriented architectures
- Improve release velocity, deployment discipline, and engineering throughput
- Establish architectural standards for scalability, security, and maintainability
- Guide the team through best practices in CI/CD, branching strategy, and Azure DevOps pipelines
- Collaborate closely with product leadership to translate business use cases into robust technical solutions
- Mentor developers and elevate overall engineering maturity
- Introduce structured code review practices and enforce quality standards
- Support production stability through performance tuning and system optimization
- Champion AI adoption, not just in products, but in internal engineering productivity
Requirements
- A minimum of 7 years of progressive experience in full-stack software development within enterprise or complex business environments
- Demonstrated experience serving as a Lead Software Engineer, Principal Engineer, or Technical Lead with responsibility for architectural direction and delivery oversight
- Deep technical expertise in the Microsoft technology stack, including C#, .NET (ASP.NET Core), and modern front-end frameworks such as React.js
- Strong experience designing and implementing RESTful APIs and service-oriented architectures within scalable, distributed systems
- Proven hands-on experience with Microsoft Azure, including cloud-native application design, App Services, Functions, containerization, and CI/CD pipelines using Azure DevOps
- Practical experience integrating AI/ML services into production-grade applications (e.g., Azure AI Services, OpenAI APIs, or comparable platforms)
- Demonstrated success modernizing legacy or monolithic systems into scalable, maintainable, and modular architectures
- Advanced knowledge of SQL Server, including data modeling, performance tuning, and managing high-volume or complex datasets
- Experience leading or mentoring distributed development teams, including offshore and cross-functional contributors
- Strong understanding of enterprise security, identity management, authentication/authorization frameworks, and multi-tenant system design principles
- Excellent communication, leadership, and stakeholder engagement skills, with the ability to influence technical direction and drive engineering excellence.
Benefits
- **Base Salary: $140,000 – $170,000 **
- **Paid Time Off:** Competitive vacation and personal days to maintain a healthy work-life balance
- **Comprehensive Health Benefits: **Medical, dental, and vision benefits to support your overall well-being
- **Bonus eligibility**
- **Flexible work arrangements****
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