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:
5-8 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
Frontend (Required): 1. Solid and hand-on experience working as a React developer.2. Solid knowledge of JavaScript, CSS, HTML, and front-end languages including Node JS. 3. Knowledge of React tools including React.js, Web pack, Bootstrap, SASS, Express, Redux, and Flux. 4. Have thorough knowledge of E2E deployment of an UI application. 5. Developing and implementing highly-responsive user interface components using React concepts. 6. Reviewing application requirements and interface designs. 7. Proficiency with browser based debugging and performance testing.9. Experience building responsive and highly accessible applications complying to AODA/WCAG/ADA and knowledge of using web accessibility tools such as NVDA/JAWS/AXE.10. Ability to take initiative to research, learn and recommend emerging technologies. 11. Ability to work with global teams and lead them on critical project initiatives. 12. Responsible for peer code reviews, unit testing, leveraging CICD pipeline of an application. 13. Understanding of integrating WS with third party libraries/vendors and handle the security around it. Backend ( 1. Experience in developing low latency and high throughput APIs using Java and Spring Boot. 2. Strong Core Java and functional programming experience. 3. Strong experience in data modeling and experience with relational and no-sql database, Oracle and MongoDB. 5. Responsible for server side design & development. 6. Development of common, reusable components and services. 7. Knowledge ofKotlinOther areas 1. Experience using Git/BitBucket. 2. Good communication skills, both written and verbal. . Good troubleshooting skills.Other areas (Good to have1. Unix shell scripting. . Knowledge of ElasticSearch, and GraphQL. . Knowledge of OpenShift Container Platform. . Knowledge of Hazelcast or Redis. . Java memory management. 6. Prior experience with building distributed, multi-tier applications is highly desirable. 7. Experience with building apps which are highly performant and scalable will be great. 8. Knowledge of AI/ML, LLMS Education:
Bachelor’s degree/University degree or equivalent experience