Gcp, Apis, Azure, Microservices, engineering best practices, cloud platforms AWS, Agile delivery models, AI-driven engineering practices, modern architecture patterns, platform modernization initiatives

Kubernetes, Spring Boot, Java, Docker, Typescript, React

Uipath, Sql, Dynamodb, DevSecOps, Devops, Postgres, RDS, Typescript, Machine Learning, MLops, AWS, Power Automate, Automation, Python, Test Driven Development, SRE, Ai, Aurora, AWS CDK, Security, Generative AI

Replication, PostgreSQL, Redis, Lucene, Kubernetes, Docker, metrics, Elasticsearch, MRR, search result evaluation, microservice orchestration, Infrastructure, vector-based hybrid, BM25, ranking algorithms, real-time systems, indexing strategies, inverted indexes, NDCG, sharding, vector datastores, knowledge search, cloud-native architecture, containerized services, query understanding, backend systems, relevance tuning, SCALE, data systems, PRECISION, search infrastructure, recall

containerization , Pulumi, Cloud Migration, solution architecture, Terraform, automation, AWS, Cloudformation, Devops, Gcp, DevSecOps, Ansible, Iam, Azure, Kubernetes, Infrastructure as Code, Resource Optimization, multi-tenant cloud environments, observability, FinOps, serverless, multi-cloud architectures, cloud cost management, cloud governance, cloud monitoring, AI-driven operations, cloud migration strategies, CI/CD

Data Analytics, Design, Development, Large Scale Backend Systems, Applied ML, Gen AI, architecture, Platform Engineering

Amazon Web Services (AWS), CSS, Sap Successfactors, RDS, Dynamodb, Node.js, Sql, Test Driven Development, Nosql, Sap Hcm, Typescript, DevSecOps, Javascript, Html5, Postgres, Agile Methodologies, Scaled Agile, Jira, Angular16, AWS CDK, Aurora, Resource management tools, Serverless software, FinOps, Cloud managed services, Automation of quality compliance and testing frameworks

Java, Gcp, Python, AWS, AI tools, DevOps practices, CI CD pipelines, Go, monitoring observability tools