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описание
Citi provides financial services, including core banking and reporting solutions. The role supports application development, platform integration, AI enablement, and production support across its reporting technology estate.
задачи
Design, build, and maintain full-stack application components, services, and RESTful APIs using Python and Java
Develop, enhance, and schedule financial and operational reports using SAP BusinessObjects and relational databases
Build and integrate AI-enabled tools, machine learning pipelines, and automated processing workflows for reporting
Implement data exchange and system integration pipelines connecting core banking platforms, data warehouses, and reporting tools
Participate in level-2/level-3 production support, analyze incidents, identify root causes, and implement bug fixes
Write clean, modular, maintainable code and develop unit and integration tests
Write and optimize SQL queries, stored procedures, and data models for reporting and data retrieval
Collaborate with cross-functional teams, business analysts, and senior engineers in an Agile/Scrum environment to deliver sprint objectives
Maintain documentation for system architectures, data flows, codebase changes, and operational runbooks
Investigate and resolve application issues and defects; support automated testing and quality assurance
Analyze BusinessObjects report logic, filters, prompts, and business rules; support report migration to modern platforms
Validate and reconcile reports, analyze variances, and resolve reporting discrepancies and data issues
Build and optimize Oracle SQL queries and database components; analyze reporting data models and apply data validation, reconciliation, and quality controls
Support reporting performance optimization, data extraction, reporting solutions, and batch- and service-based reporting
Develop REST APIs and enterprise integrations between core banking platforms and downstream reporting consumers
Contribute to reporting modernization initiatives
Support deployments, releases, production monitoring, operational controls, incident investigations, and root cause analysis
Develop AI-enabled utilities, automation, and reporting solutions; build and maintain AI agents for reporting, analysis, and operational processes
Develop Python-based AI integrations and automation workflows; support RAG implementations and integrate AI services with reporting platforms and enterprise applications
Participate in prompt engineering, testing, and evaluation of AI solutions; support governance and monitoring controls for AI-enabled applications
Identify manual processes that can be automated using AI; support Copilot-based solutions and AI-powered productivity tools
Contribute to experimentation and adoption of emerging AI engineering practices
требования
1–5 Years of software development experience
Hands-on experience with Python and Java development
Experience with SQL and relational databases, including Oracle
Exposure to SAP BusinessObjects development or reporting
REST API and integration experience
Linux/Unix and Git experience
Strong analytical, problem-solving, and troubleshooting skills; attention to detail and data accuracy
Understanding of software engineering and object-oriented programming principles
Experience developing or supporting reporting applications
Exposure to AI-assisted development tools such as GitHub Copilot, Microsoft Copilot, or equivalent technologies
Degree or equivalent experience in Computer Science, Software Engineering, Information Technology, Mathematics, Engineering, or a related technical discipline
Collaborative and team-oriented, with good communication skills and the ability to work with architects, business analysts, SMEs, and development teams
Strong ownership and delivery focus; willingness to learn and develop technical skills; strong interest in AI, automation, and modern engineering practices; commitment to quality, reliability, and operational resilience
Будет плюсом: FLEXCUBE, core banking platforms, financial services, Spring Boot, Pandas, AutoSys, CI/CD, Docker, Kubernetes/OpenShift, Kafka, AI agents, LangChain, Semantic Kernel, AutoGen or similar frameworks, Azure AI or OpenAI services, RAG solutions, vector search concepts, Copilot Studio or equivalent AI platforms, AI governance, responsible AI practices, data quality and reconciliation, regulatory reporting, experience in financial services, enterprise reporting environments, AI-enabled development, core banking platforms, or SAP BusinessObjects solutions
условия
Hybrid model with up to 2 days working at home per week
Employer-paid Defined Contribution Pension Plan contribution of 6% of employee’s pensionable earnings
Employer-paid private medical care for employees; preferential rates for certain family members
Employer-paid life insurance for employees; preferential rates for certain family members
Employer-financed Employee Assistance Program
Paid parental leave, including statutory leave and 2 additional paid weeks of paternity leave
Employee Sport Card subsidized via the Social Benefits Fund; preferential rates for certain family members
Additional Social Benefit Fund benefits, including holiday allowance, support for sport and cultural activities, and team-building events
Additional day off for volunteering
Flexible benefits cafeteria allowing employees to select and purchase benefits through a provider platform
Opportunity to receive an annual discretionary incentive award
Special offers and discounts for employees
Competitive base salary may be offered, subject to the final offer
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