Sr Programmer Analyst Core Java Developer with Spring SQL with AI driven development tools

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Job Overview

The Applications Development Senior Programmer Analyst is an intermediate-level position responsible for participating in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. This role requires a combination of advanced Java development skills and experience in leveraging AI-driven development tools, such as GitHub Copilot, for code generation, optimization, and automated testing to accelerate the software development lifecycle. The overall objective for this role is to contribute to applications systems analysis and programming activities.

Responsibilities:

• Conducting tasks related to feasibility studies, time and cost estimates, IT planning, and risk analysis for applications development.
• Establishing and implementing new or revised applications systems and programs to meet specific business needs.
• Monitoring and controlling all phases of the development process, including analysis, design, construction, testing, and implementation.
• Integrating and deploying machine learning models and AI-powered features into Java-based enterprise applications.
• Collaborating with data scientists and AI specialists to build scalable and secure AI solutions.
• Applying Generative AI (GenAI) tools and techniques to accelerate development, optimize code, and improve documentation.
• Providing user and operational support on applications to business users.
• Utilizing in-depth specialty knowledge of applications development to analyze complex problems, provide evaluation of business processes, and make evaluative judgments.
• Recommending and developing security measures in post-implementation analysis of business usage to ensure successful system design and functionality.
• Consulting with users, clients, and other technology groups on issues and recommending advanced programming solutions.
• Ensuring essential procedures are followed and helping define operating standards and processes.
• Serving as an advisor or coach to new or lower-level analysts.
• Operating with a limited level of direct supervision and exercising independence of judgment and autonomy.
• Acting as a Subject Matter Expert to senior stakeholders and other team members.
• Appropriately assessing risk when business decisions are made, demonstrating 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:

• 5-8 years of relevant experience in systems analysis and programming software applications.
• A strong background in Java development is essential.
• Experience in managing and implementing successful projects.
• Working knowledge of consulting and project management techniques/methods.
• Demonstrated ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements.
• Proficiency in leveraging AI-powered coding assistants (e.g., GitHub Copilot) to enhance and streamline the software development lifecycle, including tasks such as code generation, refactoring, debugging, unit test creation, and documentation.

Education:

• B.Tech from a top engineering college/university, preferably in Computer Science, EE, or ECE branches.
• Candidates with a passion for coding and systems development from other disciplines may also apply.
• A substantial part of experience should be in top-notch IBs/Banks and product companies.

AI Co-pilot / AI Tools for Development

Experience with AI co-pilot and other AI-driven development tools is highly valued. The ideal candidate will be proficient in leveraging these tools to enhance productivity, code quality, and accelerate development cycles. This includes:

• Efficient Prompting: Demonstrating expertise in crafting clear, concise, and effective prompts to maximize the utility of AI co-pilots for code generation, debugging, refactoring, and documentation.
• Code Optimization: Utilizing AI tools to identify and implement performance improvements, security enhancements, and adherence to best practices within Java/J2EE applications.
• Automated Testing Support: Employing AI capabilities to generate test cases, analyze code coverage, and streamline testing processes for faster and more reliable deployments.
• Knowledge Sharing: Promoting the adoption of AI development tools within the team and contributing to best practices for their efficient and accurate use.