Apis, Graphql, Elk, PostgreSQL, Grafana, Redis, REST, Incident Management, Python, AI tools, ClickHouse, Go, Data Lakehouse concepts, SLOs

Java, Machine Learning, Kafka, Tensorflow, Hive, Pytorch, Spark, Kubernetes, Python, Airflow, Ray, Kubeflow

Java, Gcp, Docker, Scala, Azure, Kubernetes, Python, AWS

Java, Python, AWS, embeddings, LLMs, multimodal AI pipelines, Go, RAG-based systems, vector databases, AI ML systems, GenAI systems

Databases, Java, Ml, Rust, Kotlin, Distributed Systems, Cloud Infrastructure, Containers, Python, LLM-based systems, production observability, workflow orchestration, event processing, Go, generative-AI, Caching, backend systems, queues, Scheduling

Java, Graphql, Scala, Kafka, TigerGraph, MLops, Docker, Neo4j, XGBoost, Spark, Kubernetes, Python, AWS, Airflow, pgvector, Qdrant, LightGBM, Go, MLflow, Flink, Neptune, Kubeflow, Milvus

release management, Apis, Data Transformation, Automated Testing, Microservices, Rest Services, Data Quality, Git, Python, data pipeline development, AI Agents, DevOps practices, enterprise integrations, Generative AI technologies, Relational Databases, MLOps practices, Azure services, non-relational databases, Copilot technologies

MongoDB, Rtp, Java, concurrency, Postgres, Sentry, Kafka, Datadog, System Design, Distributed Systems, AWS, Redis, Webrtc, Python, Kubernetes, Docker, Gcp, scalable high-availability APIs, Pub Sub, SIP, streaming systems

Pytest, Spring Boot, Microservices, React, JUnit, MySQL, Sonarqube, Postgres, AWS, Java, Ml, Veracode, Dynamodb, Redis, Devops, Cloudwatch, Dynatrace, MongoDB, Rest Apis, Sumo Logic, OAuth2.0, OpenID Connect, Ai, Cloud-native development, GitHub Copilot