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Manage an enterprise-wide software deployment strategy using Microsoft Endpoint Manager/Intune. You will be playing many roles at once (IT support, systems administration, security assessor, compliance auditor, network engineer) daily.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Hands-on experience in SAP CRM and hybris commerce including design, configuration, testing and production deployment. Understand & perform SAP CRM & hybris configuration including Customer/User master data, Catalog Management, Content Management, Workflows, Promotions/Vouchers, Shopping Cart & checkout, Search and guided navigation, Returns Management, Payments, Customer specific Pricing, Sync & Async Order Mgmt with SAP etc.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Experience using container-based deployment technologies and frameworks (Docker, Mesos, Nomad, Kubernetes, etc.) Experience with the Agile development process, secure infrastructure designs and deployment principles, infrastructure as code, continuous integration and delivery, configuration management techniques and modern, container-delivered code deployment in a cloud-based DevOps environment.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Technology in every direction using the globe’s largest AWS deployment. CCSP (Certified Cloud Security Professional) or CEH (Certified Ethical Hacker) or CFR (CyberSec First Responder) or Cloud+ or CySA+ (CompTIA Cybersecurity Analyst) or GCED (GIAC Certified Enterprise Defender) or GICSP (Global Industrial Cyber Security Professional) or PenTestAmazon is committed to a diverse and inclusive workplace.
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Have built production grade services on cloud platforms like GCP, AWS with knowledge of Kubernetes, Terraform and other tools used in deployment pipelines, streaming services, security management, etc.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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The Site Reliability Engineering team is responsible for the deployment, configuration, maintenance and monitoring of Sentry's hosted platform. As Senior Site Reliability Engineer, you will work with a multitude of technologies and have a direct impact on how Sentry evolves to handle 100x our current event volume.
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Contribute across the data science and machine learning development stack: idea development, opportunity sizing, prototyping, testing, and deployment. Build and help set direction across the entire machine learning development process to implement machine learning algorithms in production, including exploratory data analysis, data modeling, feature engineering, model training and tuning, testing, deployment, and monitoring.
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Experience with cloud platforms such as AWS, Azure, or Google Cloud, and proficiency in using relevant tools and services for deep learning development and deployment. Model Deployment: Architect scalable and reliable deep learning pipelines for deployment in production environments, collaborating with DevOps engineers to ensure seamless integration and monitoring.
$150,000 - $230,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Proficiency in Large Language Model (LLM) inference deployment, with knowledge in relevant technologies and packages, such as ONNX, FasterTransformer/TensorRT-LLM, llama-cpp, Triton Inference Server and VLLM.Participation in Kaggle competitions focused on NLP, demonstrating your in-depth understanding of problems and data, as well as your ability to experiment with a diverse set of NLP techniques / models to find an effective solution.
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Js, MongoDB, and redis stack on a resilient AWS deployment all coordinated by Rancher, Terraform, and running on Docker. Use your experience running highly scalable systems to improve our development and deployment processes.
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Desired: Experience with containerization technologies like Docker and Kubernetes for microservices deployment and management. Minimum 3 years of experience in building and managing high-performing teams in a remote setup, with a focus on operating large-scale data pipelines leveraging technologies such as Scala, Spark, ML, Protocol Buffers, Kafka, Airflow and Elasticsearch.
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What we look for:7+ years of data science, machine learning, advanced analytics experience in high velocity, high-growth companiesExtensive experience in applying Data Science / ML for the end-to-end development and deployment of data-driven products for solving business problems.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Experience working fluently with standard containerization & deployment technologies like Kubernetes, Terraform, Docker, etc. Experience with data warehouses (Snowflake, Firebolt) and data pipeline/ETL tools (Dagster, dbt.
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E complex pre-sales, and/or deployment of complex enterprise solutions, especially in a SaaS sales environment. Cyberhaven is also backed by founders, executives, and security leaders who have built transformational technologies at Nutanix, Palo Alto Networks, Facebook, Google, Slack, Akamai, Cloudera, AsterData and others.
Full-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Must have more than 1 year of hands-on experience in professional development and production deployment of Custom PowerApps using MS PowerApps Suite. User-Centric UI and UX front-end design experience using PowerApps Canvas and responsive forms.
$80,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago
deployment job in San Francisco, CA
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