Overview of the Role
Citi, the leading global bank, has approximately 200 million customer accounts and does business in more than 160 countries and jurisdictions. Citi provides consumers, corporations, governments, and institutions with a broad range of financial products and services, including consumer banking and credit, corporate and investment banking, securities brokerage, transaction services, and wealth management.
As a bank with a brain and a soul, Citi creates economic value that is systemically responsible and in our clients’ best interests. As a financial institution that touches every region of the world and every sector that shapes your daily life, our Enterprise Operations & Technology teams are charged with a mission that rivals any large tech company. Our technology solutions are the foundations of everything we do from keeping the bank safe, managing global resources, and providing the technical tools our workers need to be successful to designing our digital architecture and ensuring our platforms provide a first-class customer experience. We reimagine client and partner experiences to deliver excellence through secure, reliable, and efficient services.
Our commitment to diversity includes a workforce that represents the clients we serve from all walks of life, backgrounds, and origins. We foster an environment where the best people want to work. We value and demand respect for others, promote individuals based on merit, and ensure opportunities for personal development are widely available to all. Ideal candidates are innovators with well-rounded backgrounds who bring their authentic selves to work and complement our culture of delivering results with pride. If you are a problem solver who seeks passion in your work, come join us. We’ll enable growth and progress together.

SUMMARY:

We are seeking a highly motivated and skilled Full Stack Developer to join our dynamic Production Management AIOps team. This role will be instrumental in designing, developing, and implementing cutting-edge software solutions that automate routine production tasks, enhance predictive capabilities, and integrate AI into existing operational workflows. The ideal candidate is a passionate technologist with a strong understanding of both front-end and back-end development, and a desire to work with the latest technologies in a fast-paced, collaborative environment. The Engineering Lead Analyst is a senior level position responsible for leading a variety of engineering activities including the design, acquisition and deployment of hardware, software and network infrastructure in coordination with the Technology team.

QUALIFICATIONS:

• Technical Skills:
• 8+ years of proven experience as a Full Stack Developer.
• Strong proficiency in JavaScript, including experience with ReactJS and NodeJS.
• Experience with NoSQL databases, such as MongoDB.
• Proficiency in Python and essential data science libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow, PyTorch).
• Solid understanding of RESTful APIs and microservices architecture.
• Familiarity with cloud native environments (Google Cloud, AWS) and API Gateway technologies is a plus.
• Experience with CI/CD pipelines and DevOps practices is highly desirable.
• Knowledge of version control systems like Git.
• Familiarity with agile development methodologies.
• Soft Skills:
• Excellent problem-solving and analytical skills.
• Strong communication and interpersonal skills.
• Ability to work independently and as part of a team.
• Ability to manage multiple tasks and prioritize effectively.
• Passion for technology and a desire to learn and grow.

EDUCATION:

• Bachelor’s degree/University degree or equivalent experience
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MOST RELEVANT SKILLS

Please see the requirements listed above.
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OTHER RELEVANT SKILLS

For complementary skills, please see above and/or contact the recruiter.
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• Development & Implementation:
• Design, develop, and implement scalable and maintainable full-stack applications using a variety of technologies (JavaScript, ReactJS, NodeJS, MongoDB or other NoSQL databases, Python, etc.).
• Collaborate with the Engineering Lead Analyst and other team members to translate business requirements into technical specifications and deliver high-quality solutions.
• Implement and adhere to rigorous quality standards throughout the software development lifecycle, from initial concept to final implementation.
• Write clean, well-documented, and efficient code, adhering to industry best practices.
• Data Engineering & Pipelines:
• Design and implement data pipelines to collect, process, and transform data from various sources.
• Work with both structured and unstructured data, ensuring data quality and integrity.
• Collaborate with data engineers to integrate data science solutions into existing systems.
• Collaboration & Communication:
• Participate actively in agile development processes, including daily stand-ups, sprint planning, and retrospectives.
• Communicate effectively with team members and stakeholders, providing regular updates on progress and addressing any technical challenges.
• Contribute to a positive and collaborative team environment by sharing knowledge and supporting colleagues.
• Continuous Learning & Improvement:
• Stay abreast of emerging technologies and industry best practices, particularly in areas such as automation, AI, and cloud computing.
• Proactively identify opportunities for improvement within existing systems and processes.
• Demonstrate a commitment to continuous learning and professional development.