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Relevant certifications (e.g., AWS Certified Solutions Architect, Google Cloud Professional Cloud Architect) preferred. Familiarity with major Public Cloud platforms (AWS, Azure, Google Cloud) and their respective services (networking, storage, security.
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Experience with cloud-based systems such as AWS, Azure, or Google Cloud, including expertise in IaC and CaC; Ansible, Terraform. Desing Develop release and support, Cloud Native applications running on Containers Kubernetes and Docker within AWS.
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Build, maintain, improve, scale, and secure cloud infrastructure and resources using IaC tools (Terraform, CloudFormation, Ansible); As a Senior Site Reliability Engineer at Circle, you will design, build, and maintain Circle's infrastructure estate to meet the growing worldwide customer base on public cloud providers across multiple regions.
$147,500 - $227,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The successful candidate will manage our Git workflows, execute CI/CD pipelines, and be responsible for the integration and management of systems built on technologies like Node.js, Google Cloud, and Microsoft Azure.
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Hands on experience with Amazon Web Services, Google Cloud Platform, or Azure; namely choosing platform components and assembling application and runtime architecture. Were doing this by leveraging the power of patterns (Anti-Corruption Layering, Strangler fig, Microservices, Event Sourcing, etc) and technologies (Kafka, Solace, Change Data Capture, Node.js, Go, Containerization, PaaS) to build cloud-native solutions for the enterprise based on modern event driven architectures.
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Use configuration management tools (Ansible and Terraform) to build and maintain a hybrid infrastructure hosted both at colocation facilities and in the public cloud. Use your infrastructure and networking knowledge to maintain cloud-based infrastructure (predominantly on AWS) involving EC2, S3, RDS & VPC.
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Technical Expertise: Deep hands-on experience with relevant cloud and infrastructure technologies (GCP is a strong preference), Kubernetes, Databases (MySQL, PostgreSQL, Redis, Kafka), Jenkins.
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Familiarity with cloud platforms that offer specific support for deploying and scaling generative models, such as Google s Vertex AI, Azure s AI tools, and AWS s Machine Learning services.
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Experience with Microsoft Defender for Cloud, AWS Cloud Security Hub, or Google Cloud Security. Deep experience in building, configuring, operating and/or securing cloud infrastructure and applications in Azure or AWS, either with native cloud service provider capabilities or 3rd party vendor tools.
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Technical knowledge in Wifi, Load Balancing and Application Delivery, Ethernet Switching, ACI, API, Two Factor Auth, Malware Sandboxes, Mail Gateways, Web Application Firewalling, Cloud (AWS, Azure, etc), SDN, NFV, Virtualization, Centralized Management, SIEM, and Data Center redundancy are considered assets.
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The Global Infrastructure and Project Finance Group (GIG) covers approximately 550 credits primarily across transportation (airports, toll roads, seaports and rail), energy (thermal and renewable power, oil & gas and transmission), social infrastructure, sports facilities and UK whole business securitization.
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Maintain knowledge of the latest technologies and trends regarding various Cloud technology and infrastructure. Any level of experience with Utilize technical skills including Spark, Python, Java, Scala, SQL, RESTful APIs and Cloud Services including EMR, Keyspaces, Elasticache, Terraform, Data Lake formation, Redshift and data streaming technologies including Apache Kafka, Kinesis to develop and manage multiple assignments, including large and critical data pipeline projects to assure timely and cost-effective deliveries.
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Experience writing and optimizing complex SQL statements in a cloud data warehouse environment such as Snowflake, Google BigQuery, or Redshift. Develop curated data sets to advance our reporting and analytics infrastructure.
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A crucial role in CME's Cloud data transformation, the data SRE will be aligned to data product pods ensuring the firm's data infrastructure is reliable, scalable, and efficient as the GCP data footprint expands rapidly.
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Experience with cloud database technologies such as Azure, Snowflake, Databricks, Google, AWS or similar. Experience deploying data pipeline infrastructure on cloud technologies.
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infrastructure google cloud jobs Title: product manager in Chicago, DE, Canada
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