solve complex real-world problems Drive innovation in fraud analytics, data engineering, and AI applications What You Bring Proven experience in Java or a similar OOP stack (e.g., C#, Kotlin, Scala) Strong grasp of REST APIs, microservices, and containerisation (Docker/Kubernetes) Agile mindset with strong software engineering fundamentals Passion for innovation, learning, and leading by example Familiarity with More ❯
problem-solving, and communication skills Comfort working with remote teams and distributed delivery models Additional skills that are a plus: Programming languages such as Scala, Rust, Go, Angular, React, Kotlin Database management with PostgreSQL Experience with ElasticSearch, observability tools like Grafana and Prometheus What this role can offer Opportunity to deepen understanding of AI and Data Science applications Mentorship More ❯
to demonstrate a deep understanding of user needs and contributing to the overall product vision. Our tech stack is diverse, encompassing (but not limited to) Python, Go, Java/Kotlin, TypeScript, React, Kubernetes, Mongo, and Generative AI features requiring adaptability and a willingness to learn. Responsibilities: Work with a wide variety of Citi teams (not limited to Technology) and … in teams and remotely Experience: Proven experience as an Engineering Lead, Software Engineering Manager, or similar role Strong expertise in multiple programming languages (preferably Python, Go, Java/SpringBoot, Kotlin and TypeScript), frameworks, and tools Strong understanding of both SQL and NoSQL databases Proven experience with distributed systems, event-driven architectures, container-based micro-services, distributed logs, SQL and More ❯
