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Date: Mar 12, 2023
Location: US
Company: LTIMindtree
Technical Architect :-
· Years of Experience: 12 (Level 4)
· Experience in leading team effort, personnel, and or group deliverables and selected as lead
· Expert level knowledge in IT business analysis, data modeling & design, application modeling & design, development, integration and delivery, application maintenance and support functions
· Proven experience applying data principles to application integration or services oriented architecture design patterns
· Expert Level knowledge of Data Security and Data Classification in enterprise environments
· Experience in designing infrastructures to support cloud-native distributed applications that leverage microservice architecture, REST APIs, API Gateways, relational and NoSQL stores and loosely coupled messaging
· Understanding of a Global Traffic Management and Load Balancing
· Understanding of security related concepts/concerns within a full stack web application
· Expertise in cloud hosting and storage technologies such as AWS/EC2/S3, Azure, Rackspace, Google, etc.
· Expert level technical knowledge in end-to-end telematics products (including in-car embedded components)
· Expert level knowledge of processes relevant to operate and build telematics solutions
· Expert in Agile software development methodology, Service Oriented Architect design
· Expert in Cloud technology and relevant automation platforms
· Experience with systems modelling
· Solid understanding of the entire software development life cycle
· Expert level knowledge in data management and reporting including high volume Internet of Things (Iot) streaming data, stream analysis and applications
· Very good understanding of concepts and tools for (predictive) analytics, data visualization and unstructured data
· Deep knowledge in modern information systems architecture, service-based architecture, enterprise application architecture
· Knowledge of configuration management and version control processes
· Strong understanding of integration of connected service applications into Big Data projects
· Strong familiarity with working and managing of large Docker environments and their deployment e.g. Kubernetes and Mesos
· Experiences in design of Docker images and Docker multi host networks
· Experiences with log management in large Docker and cloud environments
· Experience in the design and implementation of Internet of Things (IoT) solutions that leverage high volume telemetry ingestion, stream analytics and data visualization
· Experience with systems integration across multiple organizations
· Good understanding of relational, unstructured, and streaming database design
· Good understanding of data designs for analytics
· Mobile applications, Java server applications, web applications, and portal technologies
· Expert level knowledge in data modeling and database design through the concept, production and optimization phases of projects
· Skilled to efficiently implement clean, maintainable, and testable software code
· Experienced with Agile Methodologies
· Strong familiarity with cloud architecture and different cloud hosting provider cloud concepts
· Experience with Open Source Middleware solutions (HAProxy, NGINX, Redis, Kafka, etc.)
· Experience in common middleware issues such as virtualization, high availability active-active solutions, service availability, patching without service downtime, etc.
· Experience in agile development methodology and DevOps
· Experience with Continuous Integration/Automation technologies like Atlassian Bamboo, Jenkins, Puppet, Chef etc.
· Good understanding of wireless telecommunications (SIM card management and provisioning processes), call centers and automotive manufacturing technologies
· Understanding of integration of wireless carrier technologies (3G, 4G, LTE), wifi, Call Centers,
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