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Certifications like Azure and AWS architects, network professional, Cisco/Palo Alto, ZScaler, etc., and Network & Security Certifications like CEH, CISSP, CCSP, CISA, CISM, etc. Solid understanding of cloud services like Azure/AWS/GCP, native controls, security center, DDOS protection, cloud firewalls, CASB, express route, cloud data storage, cloud storage, Kubernetes, data sharing related technologies, NetApp, Site recovery, CDN, MS defender, MS Sentinel, AWS EC2, AWS Guard, AWS KMS, Cloud Watch, Lambda, cloud containers, etc.
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Advanced knowledge and prior experience in Python, SQL, distributed computing tools such as Databricks, AWS or other Cloud platforms. You will design, implement and deploy high-performing machine learning/AI models and create API endpoints in AWS or Databricks.
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DevOps-related certifications, such as AWS Certified DevOps Engineer, Azure DevOps Engineer Expert, or DevOps Institute certifications (e.g., DevOps Foundation, DevSecOps Engineer) Cloud platform certifications, such as AWS Certified Solutions Architect - Professional or Azure Solutions Architect Expert.
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Experience with AWS and Azure Cloud platforms to include, server containerization technologies (e.g., Docker, AWS ECS, and Fargate). Experience with Unix/Linux system administration (e.g., Ubuntu and AWS Linux): bash scripting, OS configuration and administration.
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Industry relevant professional certifications including but not limited to: CISSP, CCSP, GIAC Cloud Security Automation (GCSA), GIAC Cloud Penetration Tester, (GCPN), SANS GIAC Public Cloud Security (GPCS), CCSK, AWS Solutions Architect - Associate, AWS Solutions Architect - Professional, AWS Certified Security - Specialty.
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AWS, AlienVault, Azure, Bash, Confluence, EKS, GSuit, Github, Golang, HTML, Hashcat, JIRA, JWT, Java, Javascript, Jenkins, Kubernetes, Metasploit, New Relic, Nmap, NodeJS, OWASP, Okta, PCI-DSS, PagerDuty, Python, Rails, Ruby, SAML, SQL, SQLMap, SignalScience, SignalSciences, Slack, Snyk, Sumologic, tenable.io, Twistlock, TypeScript, Wireshark, tcpdump.
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Experience with AWS + Databricks Unity Catalog / Model serving. Infrastructure: AWS, Terraform, Elastic Container Service, Elastic Load Balancer, API Gateway, SQS, SNS, Step Functions. Frameworks: Flask, React, Tailwind, REST.
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Google Certified Cloud Architect, Google Certified Data Engineer, AWS Certified Solutions Architect, Azure Solutions Architect. Leveraging experience in database management, migration, and transformation to cloud native DBs like Cloud SQL, Spanner, AWS Aurora, AWS RDS, etc.
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Sr. AWS Cloud Engineer (2197)at SMX(View all jobs) ( Manage AWS services such as IAM, EC2, S3, VPC, Lambda, SNS, Cloudwatch, Redshift, RDS, Config, ECS, EKS, ALB, security groups. Sr. AWS Cloud Engineer.
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AWS, Python, IAC, Infrastructure as Code, CloudFormation, CDK, Redshift, Glue, Lambda, DMS, Storage Gateway, Transfer Family, S3, Redshift, SQL, Terraform. We are looking for a bright, enthusiastic Cloud Engineer to be part of a lean team responsible for the maintenance and optimization of our AWS Data Lake infrastructure, including AWS Redshift, DMS, Glue, Storage Gateway, Transfer Family, Lambda, and S3.
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5+ years of experience in building data engineering solutions utilizing AWS services (S3, Kinesis, Lambda, Glue, SNS) or Data platforms like Databricks/Cloudera. AWS solution architect certification a huge plus.
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Automate, deploy, and test by leveraging webhooks and status checks from software development platforms (Azure, GCP, AWS CodeDeploy, AWS CodePipeline, GitHub, Jira, and Postman). Experience using a CI/CD tool like CircleCI, Jenkins, Azure DevOps, or AWS CodePipeline.
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Database / Warehouse: PostgreSQL, DynamoDB, Databricks Unity Catalog. Distributed Compute: Spark/Databricks. causal modeling, NLP, time series, deep learning, etc. Develop and Enhance ML Models: You’ll design, build and deploy sophisticated machine learning models that improve our credit decisioning, fraud detection and other processes.
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The Senior Cloud Engineer is a leader in AWS and will drive our AWS environment forward while mentoring co-workers on using Infrastructure as code (IaC) and DevOps practices. Deploy and manage AWS services, including but not limited to AWS DevOps tools (e.g., CodeBuild, CodePipeline, CodeCommit, CodeDeploy, AWS Config, AWS Systems Manager, CloudWatch, Lambda.
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JBoss, Apache HTTPS, AWS Security Hub, Crowdstrike, Red Hat Enterprise Linux (RHEL), Red Hat OpenShift or other Kubernetes platforms. CGI Federal is seeking an AWS DevOps Engineer to join an existing engineering team focused on implementation of financial systems and other services in AWS GovCloud.
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aws job Company: Advantis Global
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