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The Digital S/W Eng Lead Analyst is a strategic professional who contributes to the development of Java-based microservices architecture and secure API solutions. The role involves driving innovation, mentoring team members, adopting Agile SDLC practices, and ensuring compliance with Citigroup’s governance standards. Applicants should have extensive experience in API development and the financial services industry.
Job Responsibility:
Lead the end-to-end development of Java & API solutions, focusing on Java-based microservices architecture and API management platforms (e.g., APIGee, DataPower)
Architect, design, and implement secure, scalable, and high-performance APIs to support Citigroup’s banking and financial services
Drive the adoption of modern SDLC practices, including Agile methodologies, CI/CD pipelines (Jenkins, Git/BitBucket), and secure coding standards
Collaborate with stakeholders, including product managers, business units, and global technology teams, to align API solutions with business objectives
Mentor and guide junior developers, fostering a culture of technical excellence and continuous improvement
Explore and implement AI-driven solutions to enhance banking applications, such as intelligent automation, predictive analytics, or personalized customer experiences
Ensure adherence to Citi’s security, compliance, and governance standards in all API development initiatives
Optimize API lifecycle management, including governance, versioning, and monitoring, using platforms like APIGee
Stay updated on emerging technologies and industry trends to drive innovation in API and microservices development.
Requirements:
Minimum 10+ years of IT experience, with at least 5 years in API development and Java microservices
Strong proficiency in Java (J2EE, Spring Boot) and microservices architecture (REST, GraphQL)
Hands-on experience with API management platforms like APIGee and IBM DataPower for API gateway implementation and optimization
Deep understanding of SDLC processes, including Agile, DevOps practices, and tools like Jenkins, Git, and SonarQube
Familiarity with containerization and cloud technologies (e.g., Docker, Kubernetes, AWS/GCP)
Knowledge of secure coding practices and tools to ensure robust, secure API solutions
Demonstrated ability or strong interest in learning and implementing AI-driven solutions in banking (e.g., AI for fraud detection, customer insights, or process automation)
Experience with AI/ML frameworks or tools (e.g., TensorFlow, Python) is a plus
Proven ability to work collaboratively with cross-functional teams and stakeholders
Strong communication skills (written and verbal) to articulate technical concepts to non-technical audiences
Self-starter with the ability to work independently and manage multiple priorities under pressure
Experience mentoring and developing junior team members
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related STEM field (or equivalent experience)
Experience in the banking or financial services industry, particularly in capital markets, risk management, or customer-facing applications, is preferred.
Nice to have:
Experience re-engineering monolithic applications into microservices architectures
Familiarity with additional API gateways or middleware platforms
Exposure to regulatory and compliance requirements in banking technology
Prior leadership experience in delivering large-scale, business-critical API solutions.
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