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At least 7 years of experience in IaC (Infrastructure as Code) set up on cloud, Azure DevOps on Cloud, Terraform, Infrastructure as Code, Azure Kubernetes Services, Kubernetes Clustering, Azure Container Registry, Docker, Jenkins, Experience working with containers, Docker, Kubernetes, CI-CD Pipeline, Monitoring tools, SRE (Site-reliability Engineering.
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Solid experience with Terraform, Python, Docker Kubernetes. We have an immediate need for a contract DevOps AWS Cloud Engineer to join a premier management consulting firm. The DevOps AWS Cloud Engineer will play a crucial role in designing, implementing, and maintaining the infrastructure and deployment pipelines on the AWS cloud platform.
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Experience using any one of container technologies: VMware Tanzu (previously Pivotal Cloud Foundry) or Kubernetes based container technologies like OpenShift and AWS EKS. Minimum 8 years of hands-on experience in backend technology stack (Java, Spring/SpringBoot, databases etc) and platforms (Kubernetes, Cloud Foundry, OCP, etc.
$138,870 - $169,730 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Strong understanding of container orchestration (Nomad, Kubernetes) Utilize scripting languages like Python, SQL, Ruby and groovy, Container Orchestration services including Docker and ECS, CM tools including Ansible and Terraform, and a variety of AWS tools and services.
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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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Technologies we use include React, Javascript, TypeScript, Cypress, Go, PostgreSQL, Redis, Kubernetes, Kafka, Quicksilver. Experience with containers (Docker & Kubernetes) Technologies we use include React, Javascript, TypeScript, Cypress, Go, PostgreSQL, Redis, Kubernetes, Kafka, Quicksilver.
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Experience with Docker, Kubernetes, and a major cloud provider (Google Cloud Platform and/or Amazon Web Services) is a plus. Solid understanding of machine learning methods, ideally deep learning, with experience using at least one of the following frameworks: Pytorch, TensorFlow, JAX.
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Deployment: Airflow, Docker, Kubernetes, Jenkins, AWS. Dog-friendly office (CAM office) Deployment: Airflow, Docker, Kubernetes, Jenkins, AWS. Kensho is a Machine Learning (ML) and Natural Language Processing (NLP) company, centered around providing cutting-edge solutions to meet the challenges of some of the largest and most successful businesses and institutions.
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Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes). Architect and develop large-scale, distributed data processing pipelines using technologies like Apache Spark, Apache Beam, and Apache Airflow for orchestration.
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Experience with Cloud Computation Platform production experience on AWS and/or Azure: EC2, S3, Lambda, Aurora RDS, Docker + Kubernetes to orchestration. Familiar with IT security/cybersecurity domains is a bonus, including but not limited to cyber engineering, Vulnerability Management, Cyber asset management, SAST/DAST, IAM (Identity Access Management), SSO, MFA, cyber threat intelligence, security operation, access control, network security, security vulnerability, insider threat, data loss protection, etc.
$120,000 - $202,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficiency in VMWARE, Kubernetes, AWS, Azure, Linux, Windows, and standard network protocols. Expert knowledge in cloud architecture, DevSecOps, vulnerability management, and familiarity with regulatory frameworks such as SOC, ISO, and FedRAMP.
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Implementing containerized solutions using Docker and deployment to orchestrators such as AWS ECS/EKS, Kubernetes etc. Certified AWS Cloud Practitioner is strongly preferred. Leveraging Java, Spring Boot, Python, SQL and shell scripting as core programming languages and frameworks for development.
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Experience with container technology (Docker, Podman, Kubernetes, OpenShift, Rancher, Tanzu) Experience with container technology (Docker, Podman, Kubernetes, OpenShift, Rancher, Tanzu) Experience installing and supporting server-based DevOps tools such as Jira, Git, BitBucket, GitLab, Confluence, Coverity, Jenkins, IBM Rational products, and Microsoft Azure DevOps Server.
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Experience with two or more of the following: Python, Silk, JSON, Data Analytics, MongoDB, Elastic Search, Postgress, Ansible, Vue.js, React, HTML, Kubernetes, Docker, Podman, AWS, View Jazz Framework, Process Automation, UI Development, CI/CD knowledge.
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Knowledge of microservices and containerization technologies like Docker, Kubernetes. o Our Quincy office has an onsite dining facility and a fully equipped state of the art gym that offers daily Cross Fit, Mixed Martial Arts, and Yoga classes available to employees at zero cost.
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