containerization , Data Modelling, Cloud Technologies, Sql, Sdlc, Nosql, Restful Apis, Kubernetes, LLMs, UI technologies, CI CD, data stores, agentic AI systems, microservices development, Production Operations, messaging systems such as Kafka, AI productivity tools such as Claude or GitHub Copilot, AI ML technologies, modern deployment practices, observability

domain driven design , rackspace , Java, Node, Unit Testing, Continuous Delivery, Continuous Integration, Agile Scrum Methodology, Gcp, React Native, Azure, J2ee Technologies, Restful Services, Performance and scalability engineering, Go, Automated integration tests, Static Analysis

data engineering , Automated Testing, Microservices, Identity And Access Management, DevSecOps, Distributed Systems, Containers, Kubernetes, API-first design, NoSQL databases, event-driven integration, CI CD, ML AI engineering, cloud-native engineering, full stack application engineering, Responsible AI, domain-driven design, infrastructure as code, serverless patterns

.NET, operational readiness , Java, Microservices, Containers, Azure, Kubernetes, Python, networking fundamentals, Go, cloud-native technologies, Site Reliability Engineering, security and compliance, observability

.NET, Terraform, Selenium, Azure DevOps, AWS, Cloudformation, Jenkins, Ansible, Postman, Azure, Devops, GitHub Actions, Playwright, GitLab CI, Cypress

Java, Application Performance Management, PostgreSQL, Reactjs, Agile Scrum, Sql, Python, Observability

data engineering , containerization , ipaas, BI, Mern Stack, Microservices, ELT, Devops, Distributed Systems, AWS, Etl, event-driven systems, Analytics, connector frameworks, API integrations

containerization , Java, Javascript, Gcp, Azure, Python, AWS, Agile, Scrum, DevOps practices, microservices architecture

Ml, Java, PostgreSQL, Kafka, Redis, Aerospike, Elasticsearch, MongoDB, AWS, SaaS platforms, distributed microservices, LLM integration, hexagonal architecture, Ai, AI-native product architectures, backend systems, agentic pipelines, event-driven architecture

Gcp, MLops, Spark, Databricks, Azure, AWS