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You will be developing and extending a control plane to scale and secure Kubernetes deployments and their traffic ingress requirements on various cloud computing platforms (Amazon AWS, Google Cloud Platform, Microsoft Azure.
$146,400 - $201,300 a yearRemoteExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service.
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Familiarity with cloud platforms, preferably Google Cloud Platform (GCP) Knowledge of Google Cloud services such as Compute Engine, CloudSQL, Kubernetes, PubSub, FileStore, and App Engine is a plus.
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Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Experience with Google Cloud Platform (GCP), Python, and Terraform are preferred. The AI Factory Product Build team is responsible for developing and supporting the AI Factory product for clinicians and researchers to access AI tools for model training and serving utilizing Google Cloud Platform (GCP) and Mayo Clinic Cloud (MCC.
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Expertise working with one of AWS/GCP/Azure cloud platforms. Our current tech stack includes AWS/GCP, Kubernetes, Go, Kafka, RocksDB and Rust. You will be part of a world-class team from companies like Amazon, Google, Databricks, and Splunk.
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7+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go. Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment.
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At least 6 years of experience in software engineering (Internship experience does not apply) West Creek 1 (12071), United States of America, Richmond, VirginiaManager, Full Stack Software Engineer Manager, Software Engineering, Full Stack (People Manager - ITSG51) Do you love building and pioneering in the technology space.
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The Multi-Cloud Engineering team builds secure cloud infrastructure to support the entire Capital One organization with a primary focus on GCP, Azure and AWS platforms. 9+ years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go.
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Experience in securing, developing detections, and responding to incidents in one major public cloud infrastructure, such as Amazon Web Services (AWS) or Google Cloud Platform (GCP.
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Working knowledge of: Linux; Docker; Web frameworks, Django preferred; PostgreSQL or MySQL, BigQuery; gRPC/Thrift, protobuf, and Swagger; Google Cloud Platform (GCP) Experience in Golang, prior experience with Python a plus.
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Prior working experience in a cloud computing environment like AWS/GCP is highly desired. Experience with AI technologies like SageMaker, Google Vertex AI, LangChain, Large Language Models, Prompt Engineering, DialogFlow, Python.
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Therefore, we prioritize individuals coming from the following communities: Refugee, Neurodivergent, Single Parent, Blind or Low Vision, Deaf or Hard of Hearing, Black, Hispanic, Asian, Military Veterans, the Elderly, the LGBTQ, and Justice Impacted individuals.
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Proficiency in one or more general purpose programming languages such as Python, Ruby, Go, or Rust. Develop detections and other analytics to identify threats across cloud, corporate, and edge environments.
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4+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service. 4+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service. At least 8 years of experience in software engineering (Internship experience does not apply.
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