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About
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
The Applications Development Technology Lead Analyst is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to lead applications systems analysis and programming activities. Responsibilities: Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation Develop comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary 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
6-10 years of relevant experience in Apps Development or systems analysis role Extensive experience system analysis and in programming of software applications Experience in managing and implementing successful projects Subject Matter Expert (SME) in at least one area of Applications Development Ability to adjust priorities quickly as circumstances dictate Demonstrated leadership and project management skills Consistently demonstrates clear and concise written and verbal communication Education
Bachelor's degree/University degree or equivalent experience Master's degree preferred This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. We are looking for an experienced Senior Solution Architect to design and lead enterprise-grade technology solutions across application, data, and cloud platforms. The ideal candidate combines strong hands-on technical expertise with architectural vision—building scalable, secure, and intelligent systems using Java, Angular, Spark, Python, Oracle, MongoDB, AWS, and AI frameworks. Key Responsibilities
Design and deliver end-to-end, cloud-native solutions leveraging Java (Spring Boot, WebFlux), Angular, and Python. Architect and integrate high-performance data pipelines across Oracle, MongoDB, and AWS ecosystems. Lead microservices and API architecture, ensuring scalability, reliability, and best practices. Provide technical leadership, mentorship, and governance across development teams. Deploy and optimize workloads using AWS services (EC2, ECS/EKS, Lambda, RDS, S3, CloudFormation). Incorporate AI/ML capabilities using AWS AI services and Python ML frameworks. Drive DevOps automation with CI/CD, Docker, Kubernetes, Jenkins, and GitHub Actions. Enforce enterprise security, performance, and compliance standards. Collaborate with cross-functional teams to align business needs with technical strategy. Required Skills
Backend: Java, Spring Boot, WebFlux, Microservices, Python. Frontend: Angular, REST/GraphQL API design. Data & Analytics: Apache Spark, Oracle, MongoDB, SQL/NoSQL, AWS Glue/EMR/S3. Cloud: AWS (ECS, Lambda, RDS, IAM, CloudFormation). AI/ML: Experience with AWS AI services and Python frameworks (TensorFlow, Scikit-learn). DevOps: CI/CD, Jenkins, GitHub Actions, Docker, Kubernetes. Security & Performance: OAuth2, JWT, encryption, and system optimization. Experience: 10+ years in software engineering and architecture with full-stack and data expertise.
Languages
- English
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