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Multiple certifications such as AWS Solutions Architect Pro, AWS DevOps Engineer Pro, Microsoft Azure Solutions Architect Expert, Azure DevOps Engineer Expert, Terraform Associate, Etc. Hands-on experience designing and implementing Platform core services around Compute, Storage, Networking, Databases, Containers, Security, Identity, etc.
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Oversee multi-cloud platform automation efforts across AWS, Azure, and GCP, leveraging orchestration tools (Terraform/Open Tofu, Circle CI, Docker, Ansible, Chef/Puppet, Azure DevOps, etc.
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Broad hands on experience in AWS Cloud serverless components and ability to build and maintain cloud data processing systems (i.e. ECS, EKS, S3, Lambda, SQS/SNS, PostgreSQL, Dynamo, Sagemaker, Athena, etc.
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Broad technical understanding of modern cloud technologies (AWS, Azure, GCP) and their incident and problem management practices. Broad technical understanding across IT infrastructure, networks, applications and their incident and problem management practices.
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Experience with AWS cloud services : EC2 , EMR, RDS, Redshift , Modern data platforms, Snowflake , dbt , Fivetran and Airflow. Must have hands on Snowflake, AWS and Airflow. 3+ years of experience with Cloud based DW such as Redshift , Snowflake etc.
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Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree in Computer Science, Computer Engineering or a technical field At least 7 years of experience designing and building distributed computing HPC and large-scale ML systems At least 5 years of experience developing AI and ML systems using Python or golang At least 3 years of experience with the full ML development lifecycle using AI and ML frameworks and public cloud.
$332,300 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Strong technical knowledge of security controls, including but not limited to access controls, encryption, network security, cloud security, databases, and vulnerability management. Knowledge of cloud security best practices and technologies (e.g., AWS, Azure, GCP.
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Experience in deploying LLM models in cloud environments (e.g., AWS, Azure, GCP) and on-premises infrastructure. Alongside our colleagues, Cloud & AI Infrastructure builds the sales strategy, activates sellers and technical communities, and accelerates selling.
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Required knowledge of the following tools: GitHub, GitHub Actions, Workflows, Jira, AWS DevOps, Visual Studio Code/Professional, Salesforce, and IntelliJ w/ Illuminated Cloud. As a Sr. Dev Ops CICD Pipeline Engineer, you will have an essential role in integrating the project functions and resources across the product life cycle: planning, building, testing, deployment, support, and management of technology-based business solutions to meet business and technical requirements for Georgia DHS Child Welfare OIT program initiatives.
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Knowledge, Skills & Abilities Experience designing, implementing, and supporting applications in Amazon Web Services (AWS) cloud, including traditional server applications and serverless services such as AWS Lambda, AWS Fargate, AWS SQS, and Amazon API Gateway.
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Expert in Functional Programming approaches, preferably in Java Experience working with containers, and managed container orchestrators (Kubernetes/OpenShift) in the cloud (For example AWS Elastic Kubernetes Service, Azure Kubernetes Service, Red Hat OpenShift) Experience with microservices management like istio Knowledge of Authentication and Authorization protocols like oAuth2.0 and openID Connect etc.
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That traditionally run alongside Nvidia products, cloud providers (AWS, Azure, GCP) in a virtualized or containerized environment. The Analytics & AI FSAs are highly motivated technical sales resources whose goal is to provide guidance, enablement, and support for all things Analytics & AI focusing on opportunities and partnerships across a sales region.
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Look upstream and downstream to see around corners and anticipate future consequences for immediate technical choices. Enhance and maintain on prem and internal PAAS applications, and actively rework these to AWS along project timelines.
$120,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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O Familiarity with other Cloud computing services like AWS, GCP etc., o Provide technical thought leadership and be a strong collaborator with domain SMEs, application. o Experience with various Azure Cloud resources.
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We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure.
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