Apps Development Group Manager at Citi

Jersey City, New Jersey, United States -

Full Time

Start Date

Immediate

Expiry Date

08 Apr, 26

Salary

0.0

Posted On

08 Jan, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SAFe Agile, Cloud-Native Architecture, Java, Python, Angular, Microservices, RESTful APIs, Event-Driven Architectures, Data Engineering, ETL/ELT, Data Storage, Big Data Technologies, Generative AI, DevOps, CI/CD, Containerization

Industry

Financial Services

Description

Align engineering initiatives with SAFe Agile principles, ensuring predictable delivery and continuous improvement. Architect scalable, high-performing systems using cloud-native architecture and proven design patterns. Build foundational frameworks across middleware and UI to accelerate development and reduce maintenance overhead. Actively contribute to product requirements analysis and solution architecture. Lead proof-of-concepts, design of critical components, and code reviews,. Implement foundational components across Java, Python, and Angular for enterprise-grade applications. Champion AI-based code generation tools to automate repetitive engineering tasks. Collaborate with DevOps teams to optimize CI/CD pipelines, containerization (Docker/Kubernetes), and observability. Mentor and lead a global team of engineering leads and senior developers. Foster a culture of innovation, technical excellence, and accountability. Ensure compliance with security, regulatory, and performance standards. 10+ years in software engineering, with 6+ years in hands-on leadership roles. Proven experience in cloud-native architecture and public cloud platforms (AWS, Azure, GCP). Strong expertise in microservices, RESTful APIs, and event-driven architectures. Hands-on coding experience with Angular, TypeScript, and modern front-end frameworks. Deep experience in data engineering, including pipelines (ETL/ELT), data storage (warehouses, lakes), batch/stream processing, data modeling, governance, and big data technologies. Familiarity with Generative AI technologies (LLMs, prompt engineering, AI integration patterns). Strong understanding of SAFe Agile framework and enterprise-scale agile delivery. Knowledge of DevOps, CI/CD, container orchestration, and observability tools. Experience in large-scale financial services enterprise environments. Excellent communication, stakeholder management, and executive reporting skills. Experience with Financial Risk and Data. Certifications in Cloud Architecture (AWS/Azure/GCP) and SAFe Agile. Experience with AI/ML platforms and advanced data engineering. ------------------------------------------------------ For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Anticipated Posting Close Date: Jan 14, 2026 ------------------------------------------------------

Responsibilities

Align engineering initiatives with SAFe Agile principles and architect scalable systems using cloud-native architecture. Lead a global team, mentor engineers, and ensure compliance with security and performance standards.