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Deploy solutions across multiple cloud providers, primarily AWS and Azure, with a preference for experience in GCP. Experience with multiple cloud providers, including AWS, Azure, and GCP.
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Proficient in a Cloud Provider such as AWS/Azure/GCP with experience working with services(or the equivalent) EC2, EKS or ECS, IAM, VPC networking, S3. As a Senior Software Engineer in the Platform Delivery Security team you'll be responsible for applying cloud security best practices across the Rapid7 platform.
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We Are Nextira, now part of Accenture, builds cloud-based solutions and services with cutting-edge engineering skills, artificial intelligence (AI), machine learning (ML), and data analytics that enable clients to design, build, launch and optimize high-performance computing environments.
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Hands on experience with security tools such as Qualys, Nessus, SonarQube, Veracode, Burp Suite, Nexpose, Snort, or MetasploitExperience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes.
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Experience creating designs in either AWS, Azure, or GCP Experience with Cloud Security products and following secure design principlesExperienced in the development of policy and operational processes to insure high availability and service of entire technology stack, from front-end web traffic to back-end big-data infrastructure.
$133,600 - $296,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a Staff Engineer on our growing DevOps team, you will be a technical leader, evolving and managing our AWS-based cloud infrastructure, focusing on our internal platform and control plane.
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Experienced in building SaaS solutions with agile principles and a strong background in cloud infrastructure technologies (i.e. Microservices Architecture, RESTful APIs, AWS, Kubernetes, Kafka, MySQL, NoSQL.
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Extron Tripp-Lite APC Avixa CCT CWS CWT Fortinet NSE I-II Microsoft Fundamentals AWS Cloud Practitioner. Detailed Description The Engineer Technician-II will perform installation of network hardware infrastructure in educational and professional environments while working to perform more senior level instructional tasks in the workplace.
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Experience with AWS cloud services and running Apache Spark applications. Machine learning libraries: TensorFlow, PyTorch, Scikit-learn, Deploying and optimizing different pipelines that support various data science processes.
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Establish and set up model life cycle management with tools like MLFlow , etc · Developing and deploying Spark/Databricks jobs with enterprise tool stack including Jenkins, GitHub Actions · Deployment utilizing containerization solutions like Docker and Kubernetes · Experience with AWS cloud services and running Apache Spark applications.
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AWS: EC2, Lambda, Batch, SageMaker, Redshift, Athena, Data wrangler, boto3, SQS, SNS, IAM, etc. Python (XGBoost, H2O, Scikit Learn, Numpy, Pandas, NLTK, Stats models, Deep Learning), Natural Language Processing.
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Azure Data Engineering or Databricks Certification, and expertise with other cloud data platforms (AWS, Snowflake) preferred. We are searching for a Sr. Data Engineer who will lead the design and implementation of complex cloud solutions.
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Machine Learning Engineer with 7+ years of experience in designing, building, and maintaining machine learning models and pipelines. Machine Learning Engineer. Proven ability to work with a variety of data sources, including structured and unstructured data.
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AWS, Azure, Google Cloud Platform); and their key technologies, including: Observability, AIOPs, APM; Certification(s) from a leading cloud service provider (AWS, Azure, GCP.
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learning hands aws cloud jobs Title: data engineer Company: Grotech Search in Austin, TX
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