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At least 2 years of experience with Cloud Native technologies (Amazon Web Services, Microsoft Azure, Google Cloud Platform) As a DevOps Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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Senior DevOps Engineer. 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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At least 4 years of experience in DevOps Engineering (Internship experience does not apply) 2+ years of experience with container orchestration services including Docker or Kubernetes. New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Software Engineer.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Senior Software Engineer, DevOps. Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment.
InternExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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We are seeking DevOps Engineers who are passionate about marrying data with emerging technologies to join our team. 2+ experience with coding and scripting (Python, SQL, Java, JavaScript, Golang, Bash, Perl or Ruby.
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Experience in one of the public cloud providers – GCP, Azure, AWS.Experience with relational SQL and NoSQL databases, including Postgres and MongoDB.Experience with workflow management tools: Airflow, AWS data pipeline, Google Cloud Composer, etc.
$77,400 - $160,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Knowledge of cloud platforms (Google Cloud, AWS or Azure) and containerization (Docker, Kubernetes) is a plus. Hands-on experience with cloud deployment and management tools (AWS CloudFormation, Google Cloud Deployment Manager, etc.
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Strong knowledge of Linux operating systems, Amazon Web Services (AWS), and/or Google Cloud. We are seeking a talented Site Reliability Engineer with experience in building and maintaining continuous integration, automating programmatic tasks, deploying applications, configuration management, and monitoring and maintaining the uptime of the platform.
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Experience with GCP products like Cloud run, Cloud Data fusion, Apigee, Cloud pub-sub-Alloy DB and Google Kubernetes engine. Experience in cloud technologies like Kubernetes, Docker etc.
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Experience with cloud platforms such as AWS, Azure or Google Cloud Platform. Terraform, Ansible, Kubernetes. Implement virtual machines in the cloud using AWS CloudFormation or Terraform.
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Knowledge of cloud platforms (AWS, Azure, Google Cloud) and experience deploying scalable machine learning solutions in the cloud. Senior MlOps Engineer Remote Up to $300,000 Production System for Machine Learning Want to work on a product that helps AI teams to Deploy, Observe, Test and Optimise ML in the cloud.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Proficiency with Google Cloud Platform (GCP) Deploy applications on Google Kubernetes Engine (GKE) cluster. As part of a full-stack team, you'll work alongside experts in product and portfolio leadership, data engineering, infrastructure and DevOps, data/metadata/knowledge platforms, and AI/ML and analysis platforms.
$50 - $75 an hourExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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Design, develop, and implement solutions built on our stack, which consists (mainly) of Python, Django, Celery, PostgreSQL, InfluxDB, and Kubernetes, running on Google Cloud. As part of the backend team, your work will primarily focus on API development, but we also have projects in other areas, like DevOps and machine learning.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Nice-to-Have Skills and Experience AWS certifications (e.g.: Developer Associate, SysOps Administrator Associate, Solution Architect Associate) Certified Kubernetes Application Developer (CKAD) Experience with Terraform Enterprise and Terraform Cloud Experience with HashiCorp's overall product portfolio (e.g.: Vault, Consul, Boundary) Implement static and dynamic code analysis tools within CI/CD pipelines Use code analysis tools such as AWS X-Ray, AppDynamics, Dynatrace, etc.
ExpandApply NowActive JobUpdated 9 days ago
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