Kharadi Pune Maharashtra Lead software engineer (hybrid work model) Jobs – 108 Open Jobs Today

Golang Software Engineering Lead - GenAI platforms - Senior Vice President
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- Full-time
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- DevOps
- Master's degree
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Data Architect
Octave Intelligence —Pune, Maharashtra
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8d
Senior Technical Support Engineer
Nice —Pune, Maharashtra
- Rotational shift
- Remote
- Azure
- Java
- Master's degree
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Sr Lead, Network Automation
Northern Trust Corp. —Pune, Maharashtra
- Full-time
- Azure
- Computer Science
- AWS
6d
Specialist Cloud Network Engineer
Nice —Pune, Maharashtra
- Night shift
- Remote
- Azure
- AWS
- Project management
Sr. Developer - Enterprise Application Salesforce P 4B
Genpact India Pvt. Ltd. —Pune, Maharashtra
- Full-time
- Hybrid work
- Computer Science
- Salesforce
- DevOps
Quick apply
7d
Java Full Stack Developer
Barclays —Pune, Maharashtra
- Java
- Master's degree
- AWS
Generative AI Senior Engineer (Python/Java) – Vice President
Citi —Pune, Maharashtra
- Full-time
- Azure
- Java
- Master's degree
Sr AI Architect
HoonarTek —Pune, Maharashtra
- Full-time
- Azure
- Research
- Master's degree
DevOps Architect
Talentica Software India —Pune, Maharashtra
- Azure
- Computer Science
- DevOps
- Flexible schedule
Ai Solution Architect
Syngenta Group —Pune, Maharashtra
- Full-time
- Azure
- Computer Science
- Salesforce
Quick apply
Principal SW Engineer - FM Infra
Gigamon —Pune, Maharashtra
- Full-time
- Azure
- Computer Science
- Software troubleshooting
Tech Manager, Engineering (CCaaS)
Nice —Pune, Maharashtra
- Remote
- Management
- Computer Science
- DevOps
Sr. Consultant - SAP ABAP
Yash Technologies —Pune, Maharashtra
- APIs
- Agile
Site Reliability Engineering Senior Lead
FIS Global —Pune, Maharashtra
- Full-time
- Azure
- Oracle
- Windows
Senior Database Engineer - Platform Engineering
IntegriChain —Pune, Maharashtra
- Full-time
- Hybrid work
- Azure
- Oracle
- Databases
- Health insurance
- Paid time off
Quick apply
Principal Technical Architect
Workato —Pune, Maharashtra
- Azure
- Oracle
- Computer Science
Quick apply
Specialist DBA, Actimize (AWS, PostgreSQL)
Nice —Pune, Maharashtra
- Remote
- Azure
- AWS
Tech Lead - Automation N 4C
Genpact India Pvt. Ltd. —Pune, Maharashtra
- Full-time
- Hybrid work
- Computer Science
- English
- Master's degree
Quick apply
Engineer - Testing & Quality Assurance S 4A
Genpact India Pvt. Ltd. —Pune, Maharashtra
- Full-time
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Golang Software Engineering Lead - GenAI platforms - Senior Vice President

Citi -
Pune, Maharashtra

Apply Now

Job details

Full-time
7 days ago

Qualifications

BCS
CI/CD
Authentication
Cloud infrastructure
Go
Law
Computer Science
Software design
Incident management
React
Kubernetes
Full-stack development
Software deployment
DevOps
Test automation
NoSQL
MongoDB
Performance testing
Master's degree
Databases
Microservices
Docker
Bachelor's degree
Data management
Cloud development
JavaScript
Distributed systems
Continuous integration
Redis
REST
Mentoring
UX
Software development
Network architecture
APIs
Agile
S3
AI
gRPC
TypeScript
Design patterns

Full job description

Discover your future at Citi

Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.

Job Overview

About the Role

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.

About Our Team

Our team operates like a research-driven startup within Citi, rapidly innovating on AI user experiences while maintaining enterprise-grade reliability, security, and compliance. We build and operate Citi Stylus Workspaces and other mission-critical GenAI platforms that demand exceptional scalability, performance, and reliability at global scale.

Our platforms integrate cutting-edge AI models to provide secure, compliant, and powerful AI capabilities across the organization. Our microservices architecture is built with Go and React, deployed on OpenShift/Kubernetes, and incorporates sophisticated document understanding, agentic capabilities, and integration with numerous internal systems.

What You'll Do

Architecture & Development

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 usingWebSocketsand Server-Sent Events

Implement advanced caching strategies and distributed system patterns

AI/ML Engineering

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

DevOps & Production

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 usingGitOpsworkflows

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

Cloud & Infrastructure

Design and implement Kubernetes/OpenShift deployment patterns and Helm charts

Architect service mesh implementations (Istio) for microservices communication

Implement infrastructure-as-code andGitOpsworkflows

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

Leadership & Collaboration

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

What You Bring

Core Technical Expertise (Must-Have)

Programming & Software Design

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

Cloud & Infrastructure

Deep understanding of Kubernetes/OpenShift architectureand deployment patterns

Experience with service mesh implementations (Istio preferred)

Knowledge of infrastructure-as-code andGitOpsworkflows

Understanding of network architecture for distributed systems

Experience with containerization (Docker) and orchestration at scale

Proficiency with Helm charts and Kubernetes operators

AI/ML Engineering

Practical experience implementing LLM-based applicationsin 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

Data & Systems

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

DevOps & Reliability

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)

Security & Compliance

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

Professional Experience

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 ofGraphQLand 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

Who You Are

Beyond technical skills, you are:

Innovative problem solverwho transforms complex technical challenges into elegant, scalable solutions

Passionate about AI-powered systemsand leveraging AI to revolutionize enterprise applications

Hands-on technical leadercomfortable diving deep into technical details while maintaining strategic perspective

Self-drivenwith ability to work in a fast-paced, research-oriented environment

Strong problem-solverwith a systematic approach to complex challenges

Excellent communicatorable to articulate complex technical concepts to diverse audiences

Collaborativewith experience working across teams (engineering, design, product, business)

Curiousabout emerging technologies with commitment to staying current

Pragmaticwith ability to balance ideal solutions with practical constraints and timelines

Comfortable with ambiguityand ability to make progress with incomplete information

Quality-focusedwith strong attention to detail and commitment to engineering excellence

Why Join Us?

Cutting-Edge Technology: Work with the latest AI/ML infrastructure, modern backend frameworks, and emerging cloud-native technologies

Enterprise Scale: Build systems serving users globally with real business impact

Innovation Culture: Research-driven environment encouraging experimentation and rapid prototyping

Technical Excellence: Collaborate with world-class engineers and AI researchers

Career Growth: SVP-level technical leadership role with visibility to senior leadership

Meaningful Work: Build backend systems powering AI transformation across a global financial institution

Work Environment

We embrace a hybrid work model with a mix of in-office and remote work. We value innovation, technical excellence, and operational discipline. We operate with agile methodologies adapted to our specific needs, with two-week sprints, regular releases, and continuous improvement cycles.

Education

Bachelor's degree in Computer Science, Software Engineering, or related technical field, or equivalent practical experience

Technical Environment

Backend: Go microservices with clean architecture patterns

Frontend: React 19+ with TypeScript, modern state management (Zustand),TanStackQuery

Infrastructure: OpenShift/Kubernetes with Helm deployments, Istio service mesh

Data Storage: MongoDB, Redis, S3-compatible object storage

APIs: REST,gRPC,WebSockets, Server-Sent Events

AI/ML: Integration with multiple LLM providers (Claude, Gemini, proprietary models), vector search, prompt engineering

Security: OAuth/JWT, Vault, document classification

Testing: Comprehensive testing strategies (unit, integration, E2E)

Build Tools: Modern CI/CD pipelines,GitOpsworkflows

Observability: Metrics, traces, logs, monitoring and alerting

Performance: High-throughput, low-latency distributed systems optimization

Ready to Apply?

If you're passionate about building scalable, intelligent backend systems at the intersection of AI and modern cloud-nativedevelopment, andwant to shape the future of enterprise AI platforms at global scale, we'd love to hear from you.

Job Family Group:

Technology

Job Family:

Applications Development

Time Type:

Full time

Most Relevant Skills

Please see the requirements listed above.

Other Relevant Skills

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

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.

Apply Now

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