React, Gcp, Software Engineering, AWS, distributed backend data pipelines, data-intensive analytics, data quality observability, GraphQL API, cloud data infrastructure, performance at scale

data products , automation, API products, Reliability, architecture, Ai, engineering standards

Java, Docker, Spring Boot, Kafka, Rest Apis, Kubernetes, Microservices, CI/CD pipelines, Event-Driven Systems

Servicenow, Distributed Systems, Grafana, Jira, Kubernetes, AWS, Logicmonitor, Infrastructure as Code, monitoring and observability platforms

Distributed Systems, Scalability, Cloud-native Systems, Generative AI, Software Development Practices, Compliance, Conversational Experiences, Recommendation Engines, AI Governance, Architecture Design, Platform-first Engineering, Security, Product Platform Integrations, AI-powered Workflows, Intelligent Automation, Data and AI Initiatives, Reliability, Observability, performance standards

Java, Tensorflow, Pytorch, Docker, Distributed Systems, Python, Kubernetes, LLMs, Go, vector databases, model serving infrastructure, microservices architecture, ML pipelines, transformer architectures, RAG, high availability production environments

snowflake , containerization , Databricks, Devops, Data Warehousing, Gcp, Terraform, Edi, Mulesoft, AWS, Kubernetes, Azure, Docker, AWS API Gateway, Spark, Looker, AI ML systems, Azure API Management, dbt, Agentic AI frameworks, LangChain, CrewAI, CI CD pipelines, EHR EMR integrations, infrastructure-as-code, BI tooling, data analytics platforms, AutoGen, API gateways, MLOps practices

Apis, Version Control, Git, Distributed Systems, System Design, Agile, Scrum, Software Engineering, data pipelines, LLMs, Engineering Management, CI CD, AI integrations, external SDKs, third-party platforms, analytics systems

Gcp, AWS, Open Source, Java, Kubernetes, Python, Azure, Devops, Docker, Linux, Go