Padmi

Enterprise Architect ( Banking )

HyderabadPosted 2 months ago
Software engineeringSeniorFull Time; Regular
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Job Title - Enterprise Architect ( Banking ) Candidate Specification 20 + years, Hybrid model Location Bangalore, Hyderabad, Pune Job Description Proven experience in enterprise architecture, solution design, and system integration. Strong understanding of architectural frameworks (TOGAF, Zachman, etc.). Hands-on experience with modelling tools (e.g., ArchiMate, Enterprise Architect, Visio). Expertise in cloud platforms such as AWS, Azure, and GCP. Experience with microservices architecture, API management, and containerization (Docker, Kubernetes). Proficiency in enterprise integration patterns, messaging systems (Kafka, RabbitMQ) etc. Familiarity with DevOps practices and tools (CI/CD pipelines, Jenkins, GitHub, Terraform, etc.). Knowledge of data architecture, including relational and NoSQL databases (Oracle, SQL Server, PostgreSQL, MongoDB, Redis). Experience with security architecture, identity management (OAuth2, SAML), and compliance standards. Good understanding of AI/GenAI/Agentic AI platforms, tools, LLMs and their integration with on-prem /cloud native systems. Job Title - Enterprise Architect ( Banking ) Candidate Specification 20 + years, Hybrid model Location Bangalore, Hyderabad, Pune Job Description Proven experience in enterprise architecture, solution design, and system integration. Strong understanding of architectural frameworks (TOGAF, Zachman, etc.). Hands-on experience with modelling tools (e.g., ArchiMate, Enterprise Architect, Visio). Expertise in cloud platforms such as AWS, Azure, and GCP. Experience with microservices architecture, API management, and containerization (Docker, Kubernetes). Proficiency in enterprise integration patterns, messaging systems (Kafka, RabbitMQ) etc. Familiarity with DevOps practices and tools (CI/CD pipelines, Jenkins, GitHub, Terraform, etc.). Knowledge of data architecture, including relational and NoSQL databases (Oracle, SQL Server, PostgreSQL, MongoDB, Redis). Experience with security architecture, identity management (OAuth2, SAML), and compliance standards. Good understanding of AI/GenAI/Agentic AI platforms, tools, LLMs and their integration with on-prem /cloud native systems.

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