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You will be utilizing Snowflake and/or Databricks tools, cutting-edge DevOps technologies, developing advanced analytics products, and applying data and statistical programming tools to enterprise data to advance and enable key mission outcomes within cloud environments (GCP, AWS, Azure.
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Experience in the Design and implementation of AI/ML models and solutions using Google Cloud Platform technologies, including but not limited to Vertex AI , BigQuery, AI Platform, TensorFlow Extended (TFX), Dataflow, and Compute Engine.
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7+ years of experience in DevSecOps field, Cloud Solutions/Automation & DevSecOps PrinciplesProblem Solving/LeadershipProven hands-on experience in cloud solutions and design for secure and compliant integration of applications on Microsoft Azure.
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Experience with some of the following technologies and concepts is not required but would be a plus: Microsoft Operating systems, PostgreSQL (AWS Aurora), MongoDB (Atlas), Linux Operating systems, Active Directory, SSIS, OLTP data environments, Data Archiving, Snowflake, Wait Statistics, Solarwinds DPA/DPM, Policy Based Management, PowerShell, MySQL, DB2, Agile Methodologies, Amazon cloud database technologies, VMWare, Cloud Automation.
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Experience with DevOps processes and platforms such as GitHub, Terraform, Kubernetes, Helm, as well deployment in major cloud environments (AWS, Microsoft Azure, Google Cloud Platform.
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Proficiency in SQL and multiple programming languages for building data pipelines including Python, Scala, Spark, and Java. Experience in multi-threaded, concurrent programming and synchronization Cloud technology experience on platforms like AWS, Microsoft Azure, Google Cloud Experience developing Big Data applications using java, Spark, Kafka is a huge plus.
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Years) as a Marketing Automation Manager, with a focus on Salesforce Marketing Cloud. Design and architect Salesforce Marketing Cloud solutions, including CDP integration. In-depth knowledge of Salesforce Marketing Cloud and Customer Data Platform (CDP.
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Experience with open-source, cloud-native products supporting complex applications and services (e.g., Service Mesh, Service Discovery, Routing, Logging Infrastructure, CI/CD tools, etc. Expertise in designing and engineering highly-available public cloud services, with a preference for Azure IaaS/PaaS.
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Preferred 2 years - Hold one or more Cloud certifications such as AWS Certified Solutions Architect, or Microsoft Azure Architect Design and/or equivalent work experience. Required 5 years - Broad, domain level architectural understanding of: •Modern Application Architecture •Cloud Computing •DevSecOps •IT Infrastructure •Network •IT Governance •IT Security.
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Java & Spring Boot microservices architectures, Cloud Architectures, Cloud Adoption and Kafka platforms. Experienced in delivering highly scalable solutions across Java, Big Data & Cloud Platforms (AWS, PCF, Kubernetes.
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We have an immediate need for a contract DevOps AWS Cloud Engineer to join a premier management consulting firm. The DevOps AWS Cloud Engineer will play a crucial role in designing, implementing, and maintaining the infrastructure and deployment pipelines on the AWS cloud platform.
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Falcon is the CrowdStrike platform purpose-built to stop breaches via a unified set of cloud-delivered technologies that prevent all types of attacks — including malware and much more. CrowdStrike is looking for a Sr. Cloud ML Engineer to join the Charlotte AI LLM Ops Engineering Team. Our new colleague will be responsible for building the LLM Ops platform which provides data scientists, software engineers, product managers and other team members with a collaborative environment that facilitates iterative data exploration and annotation for training purposes, as well as experimentation, models evaluation and monitoring of Large Language Models.
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What you will likely bring:Strong experience in Microsoft Azure Proficiency in data processing frameworks such as Azure Spark, or cloud-native data processing services (Azure Data Lake, Azure Data Factory, Azure Databricks, Azure Synapse, Snowflake, CosmosDB) Experience with data integration and ETL (Extract, Transform, Load) processes, including tools like cloud-native orchestration services.
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Develop & Implement Cloud Solutions: Design and deploy serverless backend solutions using AWS Lambda, API Gateway, DynamoDB, and other AWS services for real-time sports analytics and fan engagement.
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Experience with SOAR, XDR, HIPAA/HITRUST compliance, deploying cloud architectures, DevSecOps principles, and automation. Design and recommend best-fit combinations of our XDR, SIEM, MDR, and CSPM products, tailoring them to specific customer needs and cloud platforms (AWS, GCP, Azure.
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