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Showing 8 jobs
Skills:
data engineering , Hipaa, Microservices, Ehr, Application Development, Agile, Scrum, Integration, Emr, Devops, Hl7, Healthcare Interoperability Standards, Delivery Governance, FHIR, Executive Stakeholder Management, Cloud-native technologies, Financial Management, modernization, Commercial Negotiations, API Ecosystems, Mobile Data Platforms, HIS, Digital Personal Data Protection Act, PMS, Production Support, AI-assisted engineering
Skills:
AWS, Splunk, Java, Azure, Elk, Nlp, MongoDB, React, LLMs, Gainsight, Generative AI
Skills:
containerization , Java, Cloud Infrastructure, Docker, Flask, Kubernetes, Python, Airflow, MLOps principles
Skills:
Gcp, Distributed Systems, System Design, Azure, micro-services architecture, Cloud native distributed system development, telemetry features, engineering excellence
Skills:
OpenStack, Gcp, Distributed Systems, Azure, Kubernetes, Multi-cluster lifecycle management, PCI environment compliance, VM orchestration, Container orchestration, ARM64 compute adoption, Workflow orchestration engines, Platform infrastructure, Continuous profiling, Java lifecycle automation, Process orchestration, Cloud and hybrid environments, Cloud-native platform internals, Device management platforms, Cost Optimization, SLO and SLA frameworks
Skills:
Retrieval Augmented Generation (RAG), Java, Databases, Performance Engineering, Distributed Systems, Python, Cost optimization in cloud environments, Agent architectures and memory systems, Go, Vector search and indexing, Data and AI infrastructure concepts, LLM and inference systems, Production SaaS services at scale, Embedding pipelines, Reliability
Skills:
Agile Methodologies, Cloud Architecture, Technical Leadership, Data Analytics, DevOps Practices, Project Management, Microservices Design, System Scalability
Skills:
containerization , Microservices, Data architecture principles for AI-ready systems, Vector databases, Semantic search technologies, API design and integration patterns, Agentic design patterns, AI-assisted development practices, Responsible AI practices and governance, Engineering modernization, AI ML technologies and frameworks
