
Search by job, company or skills
Showing 10 jobs
Skills:
Java, Ml, Devops, Gcp, Python, AWS, generative AI, Go, Ai, Security, infrastructure as code, observability
Skills:
Incident Response, API security, Application Security, cloud security, network security, Identity And Access Management, cloud landing zones, Security Architecture, AI ML security, LLM security, data privacy regulations
Skills:
snowflake , Docker, Databricks, Kubernetes, DevSecOps and Platform Engineering Practices, API Gateways, Agentic AI Frameworks, Azure AI Foundry, Security by Design and Zero Trust Architecture, AI Governance and Responsible AI Frameworks, LLM Platforms, MLOps and AI Operations
Skills:
TOGAF Certification, LLMs, AWS Solutions Architect, AI models, AI governance, RAG implementations
Skills:
data engineering , Data Warehousing, Databricks, Data Modeling, Azure, AWS, LLMs, enterprise data architecture, Microsoft Fabric, AI architecture
Skills:
Java, Github, Google Cloud Platform, Maven, Mariadb, Json, Sql, TestNG, Git, Mockito, JUnit, Gradle, Docker, Bitbucket, MySQL, Gitlab, Restful Apis, Azure, Kubernetes, Python, AWS, AI Tools, microservices architecture
Skills:
S3, Lambda, Docker, Sqs, Sns, Kubernetes, Python, AWS, LLM evaluation and observability tooling, LangGraph, ETL optimization, Agentic AI LLM applications, RAG architectures
Skills:
Kibana, Servicenow, Elk, Prometheus, Grafana, Datadog, Rest Api, Javascript, Docker, Terraform, Elasticsearch, AWS, Itsm, Logstash, New Relic, Jenkins, Appdynamics, Gcp, Ansible, Dynatrace, Nagios, Azure, Helm, Kubernetes, CI CD, BigPanda, ScienceLogic, OpenTelemetry, Moogsoft, AIOps, Observability, HPE OpsRamp, Agentic AI
Skills:
S3, Lambda, Docker, Sqs, Sns, Kubernetes, Python, AWS, LLM evaluation and observability tooling, LangGraph, ETL optimization, Agentic AI LLM applications, RAG architectures
Skills:
Python, Apis, knowledge graphs, AI development stack, retrieval logic, Vertex AI, production AI monitoring, agent workflows, Agentic AI frameworks, document intelligence, experiment tracking, secure AI architecture, autonomous AI systems, data pipelines, multimodal systems, deployment designs, automated tests, cloud-native architectures, GCP services, responsible AI
