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Job Overview

The Applications Development Senior Programmer Analyst is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities.

Responsibilities:

• Conduct tasks related to feasibility studies, time and cost estimates, IT planning, risk technology, applications development, model development, and establish and implement new or revised applications systems and programs to meet specific business needs or user areas
• Monitor and control all phases of development process and analysis, design, construction, testing, and implementation as well as provide user and operational support on applications to business users
• Utilize in-depth specialty knowledge of applications development to analyze complex problems/issues, provide evaluation of business process, system process, and industry standards, and make evaluative judgement
• Recommend and develop security measures in post implementation analysis of business usage to ensure successful system design and functionality
• Consult with users/clients and other technology groups on issues, recommend advanced programming solutions, and install and assist customer exposure systems
• Ensure essential procedures are followed and help define operating standards and processes
• Serve as advisor or coach to new or lower level analysts
• Has the ability to operate with a limited level of direct supervision.
• Can exercise independence of judgement and autonomy.
• Acts as SME to senior stakeholders and /or other team members.
• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

Qualifications:

• 8-10 years of relevant experience
• Experience in systems analysis and programming of software applications
• Experience in managing and implementing successful projects
• Working knowledge of consulting/project management techniques/methods
• Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements

Education:

• Bachelor’s degree/University degree or equivalent experience

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

Mandatory Skills:

Java Development Expertise:
Extensive hands-on experience in Java development, with a deep understanding of core Java concepts and design patterns.
Hands-on experience in Java, Spring MVC, Spring Batch and Spring Boot

RESTful APIs: Deep understanding and hand-on experience in RESTful APIs.

Relational Databases: Solid experience with relational databases such as Oracle and Sybase.

DevOps Practices:
Familiarity with DevOps practices and tools, including continuous integration, continuous delivery, and automated testing. Working experience in using DevOps Tools like BitBucket, GitHub, Jenkins, TeamCity, Tekton, Harness and uDeploy.

AI Tools: Usage of AI Tools such as Copilot, etc. in IDE in SDLC processes like development, SONAR fixes, addressing CVM issues, etc.

Preferred Skills:

Messaging & Event Platforms:
Hands-on experience in messaging and event platforms such as Solace, Kafka. Experience designing and implementing event-driven architectures.

RESTful APIs & Microservices: Deep understanding of RESTful APIs and microservice architecture. Experience building and deploying microservices in a cloud environment.

Distributed Systems Experience:
Experience in working on complex, distributed systems in a global context.
Hands-on experience in Distributed Cache like Redis, Hazelcast, etc. and Streaming frameworks like Apache Flink, Apache Spark, etc.
Understanding of distributed system concepts like fault tolerance and scalability.

Non-Relational Databases: Hands-on experience in NoSQL databases like MongoDB.

AI Adoption:
Working Knowledge of any AI Tools using established AI Models like Gemini, GPT, Claude, etc.
Involved in AI Adoption strategy and standardization of best practices in SDLC (Ex: Creating / Using AI Playbooks).
Experience in developing AI Agents.

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