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описание
EPAM builds enterprise software products, open source solutions, and accelerators. The role supports a strategic oversight platform that manages and monitors trade-generation activities for one of the world’s largest hedge funds, combining trading, technology, and AI.
задачи
Design, build, and support mission-critical applications for trading and investment teams;
Develop modern frontend applications using React for sophisticated users;
Build scalable backend services with Java, Scala, Go, or Python;
Design and optimize APIs, data models, and database solutions;
Develop and maintain cloud-native infrastructure and deployment pipelines using Kubernetes and Terraform;
Contribute to architecture, engineering standards, and best practices across the technology stack;
Leverage AI-powered development tools to enhance productivity and code quality;
Partner with investors and traders to solve complex business and technical challenges;
Drive reliability, scalability, and operational excellence in distributed systems;
Evaluate and help implement emerging AI capabilities across engineering workflows.
требования
10+ Years of professional software development experience in high-performance engineering environments;
Strong computer science fundamentals, including algorithms, data structures, distributed systems, concurrency, and design principles;
Exposure to AI-assisted development workflows and interest in AI adoption within engineering processes;
Extensive backend development experience with Scala and/or Java;
Strong frontend development experience with React;
Proficiency with SQL and database-driven application design;
Hands-on experience with Kubernetes, Terraform, CI/CD pipelines, and cloud platforms;
Familiarity with Agile methodologies and a solid understanding of SDLC and engineering best practices;
Experience building and operating large-scale production systems;
Ability to work across frontend, backend services, infrastructure, and DevOps practices;
Nice to have: Knowledge of Go and Python, passion for optimizing performance and scalability in distributed architectures.