Java, C, Javascript, MLops, Python, cloud technology layers, distributed systems design

software design patterns , Google Cloud Platform (GCP), model development , Java, Software Engineering, Software Architecture, Python, Ml, Version Control, Azure, Ai, Hybrid-cloud environment

Java, Python, Gcp, Azure, AWS, AI tools, infrastructure as code

OpenShift), Containerization (EKS, S3), AWS infrastructure (EC2, Terraform, Cloud Infrastructure, MLops, RDS, LBs, DevOps concepts, Microservices architecture, Continuous integration and continuous deployment

Automated Testing, Microservices, Devops, Incident Management, distributed enterprise applications, recovery practices, architecture and modernization, CI CD, asynchronous processing, AI-assisted engineering tools, reliability engineering, complex system integrations, observability, resilient APIs, modern application development, capacity performance management, service levels, secure software development, event-driven architectures, cloud platform infrastructure, document data technologies, Production Operations, event-streaming, root-cause analysis

Java, Hibernate, MySQL, Restful Services, Spring MVC, Relational Databases, J2EE frameworks

Java, C, Objective C, Javascript, Ruby, Python, C#, C++, Go, Large-scale distributed systems or web services, AI/ML technologies

Ml, Databases, Distributed Systems, Design and Architecture for large scale systems, Cache layer, Front-end, Back-end, Ai, Web stack, Hands-on software development, Real-time data

Java, Devops, Gcp, Node.js, Spring Boot, Azure, AWS, CI CD

PostgreSQL, Kafka, Redis, Gcp, Docker, MongoDB, Azure, Kubernetes, AWS, Schema Design, Incident Management, Microservices, Event-driven architecture, Distributed systems design, Query optimisation, Failure recovery patterns, Consumer group management, CI/CD pipeline ownership