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DUTIES: DIRECTV, LLC is seeking a Senior Software Engineering in El Segundo, CA (and various unanticipated locations throughout the U.S.; may work from home ) to build cutting-edge scalable, cloud solutions for our video streaming platform that delivers over 100,000 on-demand titles to our DirecTV customer.
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As a DevOps Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. Senior Software Engineer, DevOps. 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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AWS certification (Solutions Architect, DevOps Engineer or Database Speciality) Center 1 (19052), United States of America, McLean, VirginiaSenior Software Engineer, DevOps (Python, Microsoft SQL)Do you love building and pioneering in the technology space.
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5 years of experience: working with video and wireless software technologies; building a CI/CD platform utilizing GitLab, Kubernetes; and deploying software within a DevOps environment using Ansible.
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What you will need: Extensive public cloud experience within (AWS or Azure) Experience with containerization technologies, Docker, Kubernetes, AKS, EKS, etc Experience with serverless Technolgies and use cases, Fargate , Lambda, Functions, etc Knowledge of Akamai, WebSphere, Tomcat, JBoss, Kafka, ESB, IIS Experience with SaaS, PaaS and IaaS environments Ability to analyze how a system should work and how changes in conditions, operations, and the environment will affect outcomes.
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Practical understanding of cloud services, architectures, and security best practices, with CSP level certifications (e.g., Certified Solutions Architect, Certified DevOps Engineer) preferred.
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Strong understanding of cloud services, architectures, and security best practices, with CSP level certifications (e.g., Certified Solutions Architect, Certified DevOps Engineer) preferred.
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Familiarity with container technologies (Docker, Kubernetes) and the security considerations associated with them. Continuously monitor news related to new & emerging cloud security threats.
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DevOps certifications (e.g., AWS Certified DevOps Engineer, Certified Kubernetes Administrator, Certified Jenkins Engineer). Technical Skills: Proficiency in cloud platforms (e.g., AWS, GCP, Azure), containerization (e.g., Docker, Kubernetes), automation tools (e.g., Ansible, Terraform), CI/CD pipelines, and scripting languages (e.g., Bash, Python.
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Technical Skills: Proficiency in cloud platforms (e.g., AWS, GCP, Azure), containerization (e.g., Docker, Kubernetes), automation tools (e.g., Ansible, Infrastructure Management: Take ownership of our infrastructure, including cloud environments (e.g., AWS, GCP, Azure), servers, networks, and deployment pipelines.
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At least 5 years of experience in a DevOps/SRE role, AWS cloud administrator. Role: DevOps Engineer. Maintain and Scale cloud infrastructure on AWS using Infrastructure as Code (IaC) tools such as Terraform or AWS CloudFormation.
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MID level AWS Devops Engineer- Remote. AWS cloud services, implementing and managing AWS-based applications, optimizing, Deployment and Migration, best practices and guide decision-making, Develop automation scripts and workflows using Infrastructure-as-Code (IaC) tools, Must to have AWS Certification (e.g., AWS Certified Solutions Architect, SysOps Administrator, etc.
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Ein Unternehmen aus München mit insgesamt rund 4500 Mitarbeiter weltweit sucht aktuell nach DevOps- Cloud- Engineer (m/w/d). Senior DevOps-Engineer- Cloud (m/w/d) in München – 100% remote.
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Understanding of CI/CD pipelines, containerization (Docker, Kubernetes), and experience implementing MLOps practices using Azure DevOps. Deep understanding of Azure Cloud services relevant to AI, such as Azure Kubernetes Service (AKS), Azure GPU VMs, and Azure networking and security services tailored for AI applications.
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As the first Infrastructure Engineer you will lead the development of scalable, secure, and innovative cloud infrastructure working across cloud environments including Azure, AWS or GCP and also Kubernetes, Flux, Terraform, Temporal, and OpenTelemetry.
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