Lead Full Stack Engineer (M&A Technology & AI)

Key Responsibilities:

• Design, develop, and maintain high-performance, scalable, and secure full-stack applications using Java, Angular, microservices, and event-based architectures.
• Lead the integration of AI capabilities into existing and new applications, focusing on creating and deploying agentic AI solutions for M&A business use cases.
• Architect and implement microservices and event-driven systems that are resilient, fault-tolerant, and performant.
• Develop front-end user interfaces using Angular, ensuring an intuitive and responsive user experience.
• Contribute to the entire software development lifecycle, including requirements gathering, design, coding, testing, deployment, and operational support.
• Promote and implement best practices in software engineering, including code quality, testing, CI/CD, security, and documentation.
• Stay abreast of emerging technologies and trends in full-stack development, AI, and agentic systems, recommending and implementing innovative solutions.
• Mentor junior developers and actively participate in code reviews, fostering a culture of technical excellence and continuous learning.

Experience:

• 10+ years of hands-on experience in full-stack software development.
• Proven experience in designing and building scalable, high-performance microservices.
• Demonstrated experience with event-driven architectures (e.g., Kafka, RabbitMQ).
• Solid experience with modern front-end frameworks, specifically Angular.
• Experience with AI technologies, including machine learning, natural language processing, or other AI domains.
• Specific experience with agentic AI development, including designing, building, and deploying intelligent agents for business applications.
• Languages: Expert proficiency in Java and TypeScript/JavaScript
• Strong expertise in Java development, including Spring Boot, Spring Cloud.
• Extensive experience with microservices architecture principles and patterns.
• Hands-on experience with message brokers and event streaming platforms (e.g., Apache Kafka, RabbitMQ).
• Proficiency with relational and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra)
• Experience in Angular framework (versions 2+), including NgRx or other state management patterns.
• Strong understanding of HTML5, CSS3, and responsive web design.
• Experience with containerization technologies (Docker) and orchestration (Kubernetes).
• Proficiency with CI/CD pipelines (e.g., Jenkins, GitLab CI, Azure DevOps).
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and their relevant services.
• Experience deploying GenAI and LLM enabled systems in regulated, enterprise environments, including evaluation, guard-railing, monitoring, and compliance.
• Direct experience in developing, integrating, and deploying agentic AI systems.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and collaboration skills, with the ability to articulate technical concepts to both technical and non-technical audiences. A self-starter with the ability to work effectively in teams and remotely with a growth mindset and willingness to learn and adapt in a fast-paced environment.
• Serve as the senior point of accountability for environment readiness and risk.
• Partner with Architecture, Security, Risk, and Business stakeholders.

Technical Skills:

• Languages: Expert proficiency in Java and TypeScript/JavaScript
• Back-end:
• Strong expertise in Java development, including Spring Boot, Spring Cloud.
• Extensive experience with microservices architecture principles and patterns.
• Hands-on experience with message brokers and event streaming platforms (e.g., Apache Kafka, RabbitMQ).
• Proficiency with relational and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra)
• Front-end:
• Experience in Angular framework (versions 2+), including NgRx or other state management patterns.
• Strong understanding of HTML5, CSS3, and responsive web design.
• DevOps & Cloud:
• Experience with containerization technologies (Docker) and orchestration (Kubernetes).
• Proficiency with CI/CD pipelines (e.g., Jenkins, GitLab CI, Azure DevOps).
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and their relevant services.
• AI/ML:
• Experience deploying GenAI and LLM enabled systems in regulated, enterprise environments, including evaluation, guard-railing, monitoring, and compliance.
• Direct experience in developing, integrating, and deploying agentic AI systems.
• Leadership & Soft Skills:
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and collaboration skills, with the ability to articulate technical concepts to both technical and non-technical audiences. A self-starter with the ability to work effectively in teams and remotely with a growth mindset and willingness to learn and adapt in a fast-paced environment.
• Serve as the senior point of accountability for environment readiness and risk.
• Partner with Architecture, Security, Risk, and Business stakeholders.

Preferred Qualifications:

• Experience in the financial services industry.
• Knowledge of domain-driven design and clean architecture principles.
• Experience with observability tools (e.g., Prometheus, Grafana, ELK stack).
• Contributions to open-source projects or active participation in developer communities.
• Education:
• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field.
• Technology
• Applications Development
• Full time
• Irving Texas United States
• $156,160.00 - $234,240.00
• In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
• Most Relevant Skills
• Please see the requirements listed above.
• Other Relevant Skills
• For complementary skills, please see above and/or contact the recruiter.
• Oct 23, 2026
• Automated Processing and AI
• We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.
• Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.
• Illinois residents – AI Notice and Right
• Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
• If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
• View Citi’s EEO Policy Statement and the Know Your Rights poster.

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Automated Processing and AI