Application Engineering Lead - Senior Vice President

The Apps Dev Tech Sr Lead Analyst is a senior management level position responsible for accomplishing results through the management of a team or department in an effort to establish and implement new or revised application systems and programs in coordination with the Technology Team. The overall objective of this role is implementing new or revised application systems and programs while driving technical strategy, engineering excellence, and delivery across multiple initiatives.

 

The Applications Development Technology Lead Analyst is a senior level position responsible for establishing and implementing new or revised application systems and programs  while driving technical strategy, engineering excellence, and delivery across multiple initiatives. The role requires deep expertise in C#/.NET Core, MSaas/SQL, Microservices, Cloud technologies, Kafka, MongoDB, and distributed systems, along with modern AI-first software engineering practices.

The successful candidate will serve as a technical leader and trusted advisor, guiding solution architecture, mentoring engineering teams, and leveraging AI-powered engineering tools to accelerate delivery and improve software quality.

 

Responsibilities:

• Lead the design, development, and implementation of scalable, resilient, and cloud-native applications using C#/.NET Core, Microservices, Kafka, MSaas/SQL & AI driven initiatives.

• Drive architecture and technical design decisions across multiple projects and application domains.

• Lead the team of developers/QA/Product managers (Employees & Non-Employees) to drive business driven solutions.

• Provide technical leadership for complex engineering initiatives, ensuring alignment with enterprise architecture and engineering standards.

• Partner with business, product, architecture, and technology teams to define solution strategies and deliver outcomes.

• Lead performance optimization, resiliency improvements, security reviews, and production stability initiatives.

• Establish and promote engineering best practices for coding, testing, CI/CD, observability, and automation.

• Utilize AI-powered coding assistants and engineering agents (e.g., Lightspeed, GitHub Copilot, Devin AI) to improve development efficiency, code quality, and developer productivity.

• Apply Context Engineering and AI-first development practices to effectively leverage coding agents throughout the SDLC.

• Mentor senior and junior engineers and drive technical skill development across teams.

• Act as a recognized SME and technical advisor for stakeholders, architects, and engineering leadership.

• Assess technology risks, drive remediation strategies, and ensure compliance with Citi policies and regulatory requirements.

• Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation

• Partner with multiple teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements

• Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards

• Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint

• Provide evaluative judgement based on analysis of facts in complicated, unique, and dynamic situations including drawing from internal and external sources

 

Here is what you bring -

• You have 15+ years of experience in enterprise development with deep expertise in C#/.NET Core/Angular 19+, Rest APIs, Kafka, SQL

• You have 10+ years experience and are  expert in developing/ troubleshooting application with MSaas, MS SQL Server, Databases and setting up CI/CD pipelines.

• You have Hands-on solid experience in Analysis, Design, Development, Testing and Implementation (all phases of SDLC) using .NET Technologies

• Hands-on Experience with Docker, Kubernetes, OpenShift, and cloud-native platforms.

• Hands-on experience using Lightspeed, GitHub Copilot, Devin AI, or similar coding agents.

• Entity Framework Core: Proficient in database-first and code-first approaches for data access.

• Microservices Architecture: Strong understanding of designing and implementing microservices using .NET Core.

• Windows Services: Experience in creating and managing background services.

• Unit Testing: Proficient in testing frameworks like xUnit, NUnit, and Moq for .NET applications.

• Strong understanding of distributed systems, scalability, resiliency, and performance optimization.

• Experience driving technical design, architecture reviews, and engineering governance.

• Understanding of Context Engineering, prompt design, and Agentic SDLC practices.

• Strong knowledge of secure software development and application security.

• Strong understanding of distributed systems, scalability, resiliency, and performance optimization.

• Experience driving technical design, architecture reviews, and engineering governance.

• Experience mentoring engineers and leading technical initiatives across teams.

• Strong communication, stakeholder management, and problem-solving skills.

• Ability to operate independently and influence technical direction across organizations.

 

Encouraged to have

• Exposure to GenAI applications, LLM-powered solutions, RAG (Retrieval-Augmented Generation), MCP (Model Context Protocol), and AI platform integrations.

• Experience with Large Language Models (LLMs), including fine-tuning, prompt engineering, and integrating LLMs into applications, is a plus.

 

Education:

• Bachelor’s degree/University degree or equivalent experience

• Master’s degree preferred

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Job Family Group:

Technology

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Job Family:

Applications Development

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Time Type:

Full time

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

 

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