C

Citi

Runs banking and payments for global clients

Application Engineering Lead Senior Vice President

Engineering LeadershipPosted on Nov 13
Full-timePune, Maharashtra, IndiaNo salary listedHybrid

About the Job

Requirements

  • At least 15 years of enterprise development experience, including deep expertise in C#, .NET Core, Angular 19 or later, REST APIs, Kafka, and SQL.
  • At least 10 years of experience developing and troubleshooting applications with MSaaS and Microsoft SQL Server, working with databases, and establishing continuous integration and continuous delivery pipelines.
  • Hands-on experience across analysis, design, development, testing, and implementation phases of the software development life cycle 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.
  • Proficiency with Entity Framework Core database-first and code-first data access approaches.
  • Strong understanding of designing and implementing microservices using .NET Core.
  • Experience creating and managing Windows background services.
  • Proficiency with .NET unit-testing frameworks such as xUnit, NUnit, and Moq.
  • 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 software development life cycle practices.
  • Strong knowledge of secure software development and application security.
  • Experience mentoring engineers and leading technical initiatives across teams.
  • Bachelor’s degree or university degree, or equivalent experience.
  • Ability to operate independently and influence technical direction across organizations.

Responsibilities

  • Lead design, development, and implementation of scalable, resilient, cloud-native applications using C#/.NET Core, microservices, Kafka, MSaaS/SQL, and AI-driven initiatives.
  • Drive architecture and technical design decisions across multiple projects and application domains.
  • Lead developers, QA staff, and product managers, including employees and non-employees, to deliver business-driven solutions.
  • Provide technical leadership for complex engineering initiatives and align them 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, continuous integration and delivery, observability, and automation.
  • Use AI-powered coding assistants and engineering agents, including Lightspeed, GitHub Copilot, and Devin AI, to improve development efficiency, code quality, and developer productivity.
  • Apply Context Engineering and AI-first development practices to use coding agents throughout the software development life cycle.
  • Mentor senior and junior engineers and drive technical skill development across teams.
  • Serve as a subject-matter expert and technical advisor to stakeholders, architects, and engineering leadership.
  • Assess technology risks, drive remediation strategies, and ensure compliance with Citi policies and regulatory requirements.
  • Use advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation.
  • Partner with multiple teams to integrate functions, meet goals, and define system enhancements for new products and process improvements.
  • Resolve high-impact problems and projects through in-depth evaluation of complex business processes, system processes, and industry standards.
  • Provide expertise in applications programming and ensure application design adheres to the overall architecture blueprint.
  • Make evaluative judgments in complicated, unique, and dynamic situations based on analysis of facts and internal and external sources.

Desired Qualifications

  • Exposure to generative AI applications, large language model-powered solutions, retrieval-augmented generation, Model Context Protocol, and AI platform integrations.
  • Experience with large language models, including fine-tuning, prompt engineering, and integration into applications.
  • Master’s degree preferred.

About the Company

Citi

Runs banking and payments for global clients

Citi runs banking, investment and payment services for companies, governments and individuals around the world. Its global network connects institutions with local banking systems, while its US consumer business sells credit cards and deposit accounts. Corporate clients use Citi to manage cash, finance trade and raise capital, and investors use its trading, custody and wealth services to hold and manage assets. The bank earns interest on loans and fees from payments, securities transactions, financial advice and account services. Citi traces its banking roots to 1812; the Citigroup holding company was formed in 1998, and its headquarters are in New York City.

Company size
10,001+
Company stage
IPO
Headquarters
New York City, New York
Founded
1812

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