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- Cloud platform (AWS, Azure, GCP) , relational and NoSQL databases
- Strong understanding of design patterns, particularly Domain-Driven Design
- Minimum of 7 years of experience in cloud architecture, with a strong background in designing and implementing cloud and data solutions.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
- Develop and refine cloud-based architectures, focusing on scalability and reliability across major platforms (AWS, Azure, GCP).
- Design and implement robust data solutions utilizing a mix of relational and NoSQL databases to support large-scale applications and data processing needs.
- Utilize best practices in system design such as Domain-Driven Design to build cohesive and highly functional cloud applications.
- Engineer solutions that ensure high availability and disaster recovery across multiple cloud environments.
- Actively participate in and lead design and code reviews, ensuring adherence to industry best practices and maintaining a high standard of quality.
- Work closely with cross-functional teams to understand system interdependencies and focus on successful outcomes for customers and products.
- Cloud architecture certifications (AWS Certified Solutions Architect, Google Cloud Professional Architect) are preferred.
- Exceptional leadership and communication abilities
- In-depth knowledge of designing scalable, high-availability systems and data solutions in cloud environments
- Join Technix to work on pioneering technology that transforms industries through AI, enjoy competitive compensation with benefits and be part of a dynamic, inclusive, and intellectually stimulating workplace.
Senior Cloud Architect - Patna, India - Technix Technology
Description
Location: PatnaOpening: 27-Apr-2024
Skills Required:
DescriptionWe are seeking a Senior Cloud Architect to join our dynamic team, focused on designing and implementing cutting-edge cloud solutions. We're dedicated to democratizing AI, transforming business descriptions into actionable insights across enterprise data landscapes. The role involves creating scalable data solutions, building high-availability systems, and leveraging both relational and NoSQL databases to drive innovation and efficiency in cloud data management.
Responsibilities: