EPAM - Solution Architect - Python Technologies

Key Responsibilities :- Define end-to-end solution architecture for complex enterprise applications using Python.- Lead architecture, design, technology selection, and technical strategy for large-scale platforms.- Design scalable, secure, highly available, and resilient Python-based solutions.- Provide technical leadership across application development, integration, cloud, data, and modernization initiatives.- Develop architecture standards, design principles, reusable frameworks, and technical guidelines.- Review existing applications and identify opportunities for modernization, optimization, and performance improvement.- Design RESTful APIs, microservices, event-driven architectures, and distributed systems.- Work closely with business stakeholders, product teams, engineering teams, and enterprise architects to translate business requirements into technical solutions.- Define integration strategies across internal and third-party enterprise systems.- Evaluate emerging technologies and recommend appropriate solutions based on business requirements.- Provide technical guidance to engineering teams and conduct architecture and design reviews.- Drive technical governance, code quality, security, scalability, and maintainability across projects.- Identify technical risks, dependencies, and bottlenecks and define appropriate mitigation strategies.- Support cloud adoption, application modernization, containerization, and DevOps initiatives.- Mentor senior developers, technical leads, and architects and establish engineering best practices.Technical Skills:- Strong expertise in Python and enterprise Python application development.- Deep understanding of Python frameworks such as Django, Flask, or FastAPI.- Strong experience with microservices and distributed application architecture.- Expertise in REST APIs, API gateways, asynchronous processing, and event-driven architecture.- Strong understanding of databases including relational and NoSQL technologies.- Experience with messaging technologies and distributed systems.- Strong knowledge of application security, scalability, performance optimization, and high availability.- Experience with cloud platforms and cloud-native architecture.- Strong understanding of Docker, Kubernetes, CI/CD, and DevOps practices.- Experience with system integration, enterprise architecture, and application modernization.- Knowledge of AI/ML integration and GenAI architectures will be an advantage.Preferred Profile:- 1822 years of overall IT experience with significant experience in architecture and technical leadership.- Proven experience designing large-scale enterprise solutions.- Strong stakeholder-management and communication skills.- Ability to make technology decisions and influence senior technical and business stakeholders.- Strong analytical and problem-solving skills. (ref:hirist.tech) .