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Showing 10 jobs
Skills:
relevance , architecture reviews , Ml, Dsp, Kafka, Devops, Spark, Big Data, Personalization, Quality, SRE, DMP, Ai, SSP, real-time auctioning, bid optimization, measurement and attribution, AI-first engineering practices, large-scale batch and streaming data processing, distributed computation, responsible AI, audience targeting, real-time bidding
Skills:
.NET, Automated Testing, Microservices, Cloud Technologies, Distributed Systems, Cicd, Python, AWS, Databases, Java, Apis, Node.js, Devops, Gcp, Containers, Azure, Kubernetes, GenAI, frontend technologies, deployment automation, code quality, integration patterns, fullstack architecture, backend technologies, event-driven architectures, Git-based dev build pipelines, security scanning

Skills:
Apis, Data Quality, Predictive Analytics, Metadata Management, Machine Learning, Distributed Systems, Data federation, Master data management, Generative AI, Cloud-native data platforms, Data ingestion platforms, Lineage cataloging, Streaming technologies, Operational reporting platforms, AI-ready data foundations, Data Lake Modernization, Real-time data processing, Enterprise data lifecycle management, Operational Data Engineering, Event-driven architectures
Skills:
Change management, Transformation, Digital fluency, Diversity and inclusion, gamification, Organization Design, Design Thinking, AI adoption
Skills:
Agentic AI, Data Pipeline Protection, Prompt Injection Mitigation, Runtime Protection, Security Architecture Patterns, Security Operations

Skills:
Java, Unix, Grafana, Gcp, Linux, Dynatrace, Splunk, Azure, Python, AWS, ITSI, Go, Amazon Q
Skills:
Agentic AI, Prompt Injection Mitigation, Data Pipeline Protection, Runtime Protection, Security Architecture Patterns, Security Operations
Skills:
Agentic AI, Data Pipeline Protection, Prompt Injection Mitigation, Runtime Protection, Security Architecture Patterns, Security Operations
Skills:
Azure, Java, Microservices, AWS, Python, Gcp, Apis, LLMs, multi-agent systems, fine-tuning, cloud-native platforms, event-driven systems, vector databases, MLOps practices, Agentic AI, Generative AI, prompt engineering, AI orchestration platforms
Skills:
Kubernetes, Java, Data Analytics, Microservices, Google Cloud, Javascript, Docker, Terraform, Agile Methodologies, Azure, Python, AWS, DevOps practices, ML integration, Ai, CI CD pipelines, Security Protocols
