Golang Software Engineering Lead - GenAI Platforms - Senior Vice President Job at Citi (Pune)

Job Description

We're seeking an exceptional Golang Software Engineering Lead - GenAI platformsto drive the backend technical vision and full-stack execution of our enterprise GenAI platform serving 180,000+ Citi employees globally. This is a senior technical leadership role for someone who wants to architect scalable, high-performance AI systems at the intersection of modern cloud-native development and cutting-edge AI—combining hands-on engineering excellence with strategic technical leadership. You'll work with cutting-edge AI infrastructure including Claude, Gemini, and proprietary Citi models running on OpenShift/Kubernetes, building the next generation of AI-powered backend services and microservices that transform how employees interact with enterprise AI systems.

Job Responsibility

Design, develop, and maintain core components of our production GenAI platform
Architect new systems and services that scale to enterprise requirements (180,000+ users)
Implement complex features across the entire stack, from backend services to frontend interfaces
Design and implement scalable microservices architecture for complex GenAI applications
Build sophisticated document processing and transformation pipelines
Optimize system performance, particularly for AI-related operations and high-throughput scenarios
Collaborate with AI researchers to implement state-of-the-art techniques
Develop real-time streaming architectures for AI responses using WebSockets and Server-Sent Events
Implement advanced caching strategies and distributed system patterns
Build practical LLM-based applications with production-grade reliability
Implement prompt engineering techniques and patterns for enterprise use cases
Architect vector database solutions and semantic search capabilities
Design streaming architectures for AI responses and real-time collaboration
Integrate multiple LLM providers (Claude, Gemini, proprietary models)
Develop agentic capabilities and multi-agent system orchestration
Optimize AI inference performance and cost efficiency
Design and implement observability solutions for AI-specific metrics and general system health
Create and maintain deployment pipelines and configuration for multiple environments
Build comprehensive CI/CD pipelines using GitOps workflows
Participate in production support rotation and incident response
Lead production incident response, root cause analysis, and blameless postmortem processes
Analyze and resolve complex production issues across the stack
Implement monitoring, error tracking, and alerting for production applications
Optimize build processes and deployment strategies for performance
Design and implement Kubernetes/OpenShift deployment patterns and Helm charts
Architect service mesh implementations (Istio) for microservices communication
Implement infrastructure-as-code and GitOps workflows
Design network architecture for distributed systems
Ensure security best practices including OAuth/JWT, Vault integration, and document classification
Build container-based deployment strategies with high availability
Define technical vision and roadmap for GenAI platform backend excellence and full-stack capabilities
Set technical vision and drive architectural direction across multiple services and teams
Provide technical mentorship to engineering teams and develop technical talent
Lead architectural discussions and make strategic technical decisions
Partner with engineering, security, and business leaders to align technology strategy with organizational objectives
Drive engineering excellence through code reviews and best practice implementation
Represent the engineering organization in cross-functional leadership forums
Lead cross-functional collaboration with product managers, AI researchers, and frontend engineers
Build and lead high-performing engineering teams

Requirements

Expert-level Go programming (5+ years) with deep understanding of concurrency patterns
Proficiency with TypeScript/JavaScript and React (3+ years) for full-stack development
Strong understanding of clean architecture, SOLID principles, and design patterns
Experience with concurrent and parallel programming
Comfort with both statically and dynamically typed languages
Advanced knowledge of microservices architecture and API design
Deep understanding of RESTful APIs, gRPC, and real-time communication protocols
Deep understanding of Kubernetes/OpenShift architecture and deployment patterns
Experience with service mesh implementations (Istio preferred)
Knowledge of infrastructure-as-code and GitOps workflows
Understanding of network architecture for distributed systems
Experience with containerization (Docker) and orchestration at scale
Proficiency with Helm charts and Kubernetes operators
Practical experience implementing LLM-based applications in production environments
Knowledge of prompt engineering techniques and patterns
Understanding of vector databases and semantic search
Experience with streaming architectures for AI responses
Familiarity with AI model integration, fine-tuning, and optimization
Understanding of RAG (Retrieval-Augmented Generation) patterns
Experience with document processing and transformation pipelines
Knowledge of NoSQL databases, particularly MongoDB
Understanding of caching strategies and implementations (Redis)
Experience with high-throughput, low-latency distributed systems
Knowledge of S3-compatible object storage and data management
Understanding of data consistency patterns in distributed systems
Strong understanding of observability (metrics, traces, logs)
Experience with CI/CD pipelines and automated testing
Knowledge of performance testing and optimization techniques
Experience with production incident management and resolution
Understanding of SRE principles and practices
Experience with monitoring tools (Prometheus, Grafana, ELK stack)
Knowledge of OAuth/JWT authentication and authorization patterns
Experience with secrets management (Vault)
Understanding of security best practices for enterprise applications
Familiarity with compliance requirements in regulated industries
15+ years of overall software development experience
5+ years in technical leadership positions
5+ years working with cloud-native architectures
3+ years practical experience with AI/ML systems in production
Experience leading teams building enterprise-scale systems (10,000+ users)
Track record of successfully delivering complex technical projects at organization-wide scale
Experience building and leading high-performing engineering teams
History of mentoring and developing engineering talent
Experience operating in regulated industries (finance, healthcare, government)

Nice to have

Experience architecting and scaling backend systems for enterprise environments
Knowledge of micro-frontend architecture and module federation
Understanding of GraphQL and real-time data synchronization
Experience with AI/ML interface patterns and prompt engineering UX
Knowledge of event-driven architectures and message queuing systems
Experience with performance optimization and load testing at scale
Understanding of chaos engineering and resilience testing
Familiarity with multiple programming languages and paradigms

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Golang Software Engineering Lead - GenAI Platforms - Senior Vice President

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