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We are looking for hands-on full-stack senior engineer who is passionate about solving business problems through innovation and engineering practices. The senior Engineer plays a significant role in crafting and maintaining the strategic partnership between business needs and technology delivery within the construct of an Agile team. The role is to plan, design, develop, and launch efficient systems and solutions in support of our core organizational functions. Lead Analyst is a strategic professional who stays abreast of developments within own field and contributes to directional strategy by considering their application in own job and the business. Recognized technical authority for an area within the business. There is also an expectation to contribute to the codebase and deliver solutions against the sprint-level commitments.
Job Responsibility:
Architect, design, and personally implement highly complex and critical architectural components, foundational services, and advanced AI agentic proofs-of-concept
Direct teams on how to develop and deliver systems that are efficient with resource usage such as hardware, runtime, performance, load, and memory requirements
Provide the corresponding architectural guidance, and conduct design reviews and code reviews based on the projects assigned to your LOB
Effectively communicate progress, manage bottlenecks, assess and mitigate risks, ensuring compliance and safeguarding Citigroup interests
Leverage AI tools and Python-based agentic frameworks to enhance development efficiency and optimize software solutions
Stay updated on the evolving AI landscape to propose and implement innovative product features
Analyze and troubleshoot complex coding, performance, and design challenges, including AI model integration and agent orchestration
Requirements:
Minimum of 10 years in software development
Strong expertise in Java, Python, Spring Boot, React, Oracle, and Postgres/Oracle
In-depth knowledge of modern application architecture, Data Structures, and Object-Oriented Principles (Java, Python)
Proven experience in architecting and building scalable, highly available, resilient, and low-latency applications
Practical experience with AI tools and AI agentic frameworks for development workflows
Proficiency in Microservices (Spring Boot, Python frameworks like Flask/Django), Event-Driven Services, and Cloud-Native Development, including REST and GraphQL
Experience with Container Orchestration tools (Docker, Kubernetes, OpenShift)