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AI/MLOps GPU accelerated solutions in cloud computing environments, such as AWS, GCP, Aure and OCI. Experience with virtualization and/or cluster management tools, such as Docker/Containers/ Kubernetes.
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Professional certifications related to data architecture (e.g., TOGAF, AWS Certified Solutions Architect) are a plus. Strong knowledge of various database technologies (SQL, NoSQL), data integration (ETL/ELT application integration) frameworks, and cloud services (AWS, Azure, GCP.
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Familiarity with at least one of the following cloud providers: Amazon Web Services (AWS), Google Cloud Compute (GCP), or Microsoft Azure. Set direction on the design, development, testing, deployment, and support of stateful microservices and lambdas in a multi-region cloud environment.
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Experience working with modern data engineering tech stack and platforms (Databricks, Snowflake, AWS Services, DBT) In-depth knowledge of Data management concepts, data modeling techniques and methodologies in an all-cloud ecosystem dealing with Big Data.
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Infrastructure and monitoring, including CI/CD construction and maintenance, hands-on experience with AWS (preferred) or GCP, experience with IAAS technologies such as terraform (preferred), k8s, puppet, chef, ansible and the like.
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Hands-on experience with Google Cloud/AWS and cloud-native tooling such as Kubernetes, Docker, Helm and Terraform. You will be part of the team responsible for engineering the next generation of platforms to enhance fan experiences and engagement on streaming media products.
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Hands-on Technical Experience with Telecommunications, Networking, Security Solutions (Firewalls, IDS/ IPS, SIEM, Vulnerability Assessment Tools), Access Control Systems, Cryptography, Physical Security Systems, and Secure SDLC Methodologies.
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Knowledge of cloud platforms such as Microsoft Azure, GCP, AWS. Stay up to date and informed on changes and evolution of industry topics; support POV development and provide thought leadership on data privacy laws, third-party measurement tools and space, consumer marketplace, vertical expertise etc.
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Utilize programming languages like Java, Python, SQL, Ruby and Go, Container Orchestration services including Docker and Kubernetes, CM tools including Ansible and Terraform, and a variety of AWS tools and services.
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Experience in any of the following on-demand cloud computer platforms: AWS, GCP, and Azure. Data Scientists on FTI's AI Build Team should have a pragmatic approach to problem-solving and be capable of developing end-to-end solutions that clients can rely on in production.
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Prior experience/knowledge in the ad-tech measurement space, data manage platforms, cloud databases (AWS, GCP, Snowflake, etc.) Research on cutting edge media measurement methodologies, run test queries on sample data and synthesize research findings to senior leadership.
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Application Security Architect Reston, VA, 20190 (no visa - Remote Acceptable) Profile:Technologist with hands on yet leadership and strategic ability to architect solutions for information security application development.
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Having previously served in a senior role as a Director of Business Development or Director of Capital Raising, you have specific, hands-on experiencing strategically executing a successful capital raising program, including identifying, sourcing, managing,overseeing, and onboarding of prospective clients for a leading Hedge Fund or Family Office.
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This includes live and on-demand video processing, live content insertions, and creating custom. Participate in a on-call rotation to support time sensitive and demanding software platforms.
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Hands on experience with AWS cloud computing including hands on experience. Responsible for system design, as well as maintaining a hands-on role in subsequent purchase, configuration and support of all broadcast systems.
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hands on aws cloud architect jobs Title: data architect in Garden City, NY
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