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Strong Experience in either of the Cloud platforms - AWS, GCP or Azure. Strong Hands on Security Tooling and Cloud experience - Cloud Security, Vulnerability Management, Malware Detection/ Analysis, SIEM, DLP, CASB, SASE, ZTNA, Privilege Access, DAST, WAF, IPS/IDS, Firewall, Email Security.
$190,000 - $250,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Proficiency in data engineering tech stack; Snowflake / PostgreSQL / Python / SQL / GitLab / AWS / Airflow/ DBT and others. Proficiency in relational database platforms and cloud database platforms such as Snowflake, Redshift, or GCPStrong in Python and/or another data centric language.
$77 - $118Full-timeExpandUpdated 3 months ago - UpvoteDownvoteShare Job
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Technology partners include Snowflake, Databricks, AWS, Azure, Google Cloud, and Starburst. The Immuta Data Security Platform provides sensitive data discovery, security and access control, and data activity monitoring and has deep integrations with the leading cloud data platforms.
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Azure - hybrid, on/off prem cloud services, will consider experience with AWS or Google as alternative. The Production-Application Support Manager will be responsible for leading and coordinating Infrastructure and business projects from a technology perspective, ensuring that infrastructure development activities are consistent with client’s internal best practices and standards.
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Qualifications Basic Qualifications 10 or more years of work experience with a Bachelor’s Degree or at least 8 years of work experience with an Advanced Degree (e.g. Masters/ MBA/JD/MD) or at least 3 years of work experience with a PhD Experience in SaaS and public cloud with strong knowledge of development environments like AWS, Azure, GCP, plus virtual machines, containers, cloud security, optimization, and continuous integration/delivery.
$163,800 - $213,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience building and driving enterprise level data architecture across sophisticated platforms in the cloud - Azure, AWS or GCP. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.
$143,200 - $253,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with cloud-based services and platforms (e.g., AWS, Azure, GCP) and distributed systems. Familiarity with DevOps practices, containerization, and orchestration tools (e.g., Docker, Kubernetes.
$130,000 - $145,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Building Test automation solution using Selenium, Cypress, RestAssured framework in on prem and AWS Cloud environments. Strong comprehension, training, and experience in demonstrating complex test environments, cloud technologies, test data management strategies and test infrastructure design.
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The Account Manager works collaboratively with all appropriate AWS resources (Executives, Partner, Support, Solution Architect) to support customer interests, and will understand how to strongly advocate for the customer in harmony with what the AWS business needs.
$136,000 - $252,900 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Develop UiPath scripts to automate SAP BI Reports test cases (data comparison) as well as AWS Cloud test scenarios. AWS Cloud testing experience is required. Develop UiPath scripts to automate SAP BI Reports test cases (data comparison) as well as AWS Cloud test scenarios.
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AWS or GCP) and developing machine learning models in a cloud environment. Experience working with cloud technology stack (eg. Strong skills in NLP, LLMs and deep learning. Strong high-level programming skills (e.g., Python), frameworks and tools such as DeepSpeed, Pytorch lightning, kuberflow, TensorFlow, etc.
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Experience with cloud infrastructure such as AWS, Google Cloud, or Azure. Experience with at least one programming language, such as Golang, Python, or Node.js. Experience with Data Warehouses such as Snowflake.
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Lead communications for our advanced AI research and strategic partnership organizations (strategic partners include AWS, Google Cloud, and others). Lead communications for our Einstein AI, Data Cloud, and Einstein 1 Platform technologies.
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Driving cloud security privacy and compliance decisions through design and technical discussion concerns for size performance agility and HA DR. Configure and manage customer AWS Azure cloud environment for clients.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Experience with cloud-based infrastructure and deployment technologies, such as AWS and API design. Experience with Kotlin or Java. Experience with containerization tools, such as Docker and Kubernetes.
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