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Proficiency in MLOps architecture tools (Docker, Kubernetes, Airflow, Kubeflow) and experience designing and implementing APIs in a Python stack. Familiarity with advertising targeting and measurement technologies, digital marketing analytics, and platforms like GCP, BQ, and Elastic/SOLR/Vector Search.
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Cloud Architecture Certification (AWS, GCP, or Azure) or strong architecture experience on Cloud. Displays strong thought leadership in pursuit of modern architecture principals and technology modernization.
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Any Azure, AWS, GCP, Nutanix, Meraki, Cisco, or security certifications. The AWS Cloud Infrastructure Analyst is a hands-on role planning and managing AWS cloud infrastructure delivery, including daily management, capacity planning, and participating in defining the Company's global infrastructure architecture.
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Designing and developing large scale data solutions using GCP services like DataProc, Dataflow, Cloud Bigtable, BigQuery, Cloud SQL, Pub/Sub, Cloud Data Fusion, Cloud Composer, Cloud Functions, Cloud storage, Compute Engine, Looker and Cloud IAM.
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Expertise in cloud architecture/platforms (i.e., AWS, Azure, GCP), Azure Cloud products (i.e.: Monitor, Databricks, Data Factory, Data Lake, Function, Serverless/Managed Compute/SQL, Key Vault, Sentinel, VMware, etc.
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Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, Application Architecture like microservices, API, and realtime streaming, ETL and Data Engineering technologies like PySpark, Glue, Snowflake, and a variety of AWS tools and services.
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Requires experience providing top-tier support for 3 or more of the information security technology areas: 1) Access Control, 2) Application Security, 3) Business Continuity and Disaster Recovery Planning, 4) Cryptography, 5) Information Security and Risk Management 6) Legal, Regulations, 7) Compliance and Investigations, 8) Operations Security, 9) Physical (Environmental) Security, 10) Security Architecture and Design, 11) Telecommunications and Network Security.
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General knowledge of engineering concepts of cloud platforms (e.g. AWS, GCP, Azure, GovCloud, OCI & DISA cloud) is a plus. Configuring virtual [Linux] servers, AWS, GCP & Azure resources to complete database activity compliance.
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You are results-driven and bring strong Architecture and engineering skills and a deep understanding of modern technologies including Cloud-native, APIs, AI, and ML. You are a person of high integrity, who believes in challenging the status quo when needed, while always first seeking to understand.
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3 years' cloud experience (DISA Cloud, DoD/Government Cloud, AWS, GCP, Azure certifications) is helpful. Coordinates and prepares the reporting of data security events and incidents; provides system and network architecture support for information and network security technologies.
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Domain expertise: Methodologies, System Tools, Cloud, Virtualization, Languages, OSs. Technical skills: Agile (Scrum & Kanban), Active Directory, Red Hat Satellite, Chef, Ansible, Terraform, Nexus, GitHub, Jenkins, ServiceNow, Jira, Confluence, Graylog, AWS, GCP, Azure, VMware ESXi, PowerShell, Python, Ruby, bash, YAML, Groovy, Windows, Linux-RHEL, Linux-CentOS, and Linux-Ubuntu.
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Experience must include a minimum of 3 years experience in a support & operations or design & engineering role in any of the following areas: access management or network security technologies, servers, networks, Network communications, telecommunications, operating systems, middleware, disaster recovery, collaboration technologies, hardware/software support or other infrastructure services role; or any combination of education and experience, which would provide an equivalent background.
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1+ years of experience working with cloud architecture network designs, implementations, and support (AWS, Azure, GCP, OCI) Deep understanding of virtual network appliance offerings and how to apply them to public cloud providers (Amazon AWS, MS Azure, Google GCP.
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Containerization (Kubernetes - AWS: ECS, EKS - GCP: GKE)Amazon AWS cloud technologies: S3, Redis, RDS, ECS, SQS/SNS, Kinesis, Terraform, and Localstack. 8+ years of experience in back-end development in Java, Spring, Spring Boot, Rest services and distributed technologiesKnowledge of databases design and optimization techniquesProven experience in microservices architecture and API design.
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2+ years' experience with Kafka, Streaming ,and Event-Driven Architecture. At least 2 years' experience with public cloud technologies (AWS, GCP, Azure) You will collaborate with Architecture, Card Product, Card Technology and Enterprise stakeholders to drive this critical project forward.
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