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As part of the DPA practice, get ready to carve out an accelerated career development path to take increasing scope of responsibilities across the full spectrum of DPA consulting value chain: business and IT strategy, digital transformation solutioning, delivery management, enterprise architecture, functional design and implementation, CX/UX, mobility, integrated platforms (RPA/ML/IoT/Block Chain/Analytics) and DevOps.
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Experience integrating containerized applications with cloud infrastructure (e.g. ELB, RDS, S3, EFS/EBS) Implement and manage DevOps infrastructure for a cutting-edge satellite ground system.
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Job Title: Spanish speaking – REMOTE AWS DevOps Cloud Architect. The ideal candidate will have extensive experience with AWS cloud infrastructure and a deep understanding DevOps best practices.
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Experience with Cloud Computing practice, DevOps, CI/CD tools & process (GIT/Bitbucket, Maven, Ant, Jenkins, Sonar), and Docker. Experience with Cloud Computing practice, DevOps, CI/CD tools & process (GIT/Bitbucket, Maven, Ant, Jenkins, Sonar), and Docker.
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Manager is looking for a mid-level to senior DevOps engineer with demonstrated experience working with Azure DevOps to build/deploy cloud services on Azure. 3+ years of experience in cloud operations, site reliability engineering (SRE), software engineering, or systems administration.
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1-3+ years of development experience with data ingestion, integration, analysis, and presentation working within a Cloud Data Lake environment using Azure Data Factory, Snowflake and Power BI technologies.
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Experience in secret management solutions including understanding of DevOps (Ansible, Jenkins, Gitlab, Kubernetes, terraforms) and cloud (Azure, AWS and GCP) solutions sets. CISSP, CISM, CISA, CIPT, CIPM, CRISC or other relevant certification desired; non-certified hires are required to become certified within 1 year from the date of hire.
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Experience with cloud computing services such as Microsoft Azure, Amazon Web Services and/or Google Cloud Platform Familiarity with different data science techniques: statistics, machine learning, or cognitive AI. Minimum Qualifications, Knowledge, and Skills Bachelor's degree in software engineering, computer science, data science, mathematics, or a related field.
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Experience in Microsoft Azure cloud resource management, cloud architecture and cloud security. Experience with CI/CD platforms (Git, Azure DevOps) Develop and implement automation roadmap for Azure cloud data processing.
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Employing Containers & Orchestration including Docker, Swarm and Kubernetes; and CI/CD (Jenkins, Azure DevOps); Continuous integration/continuous deployment (e.g. Git, Jenkins, TFS, Puppet, Chef, Maven, Gradie, Ant.
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Requirements: 4+ years selling enterprise solutions, process-oriented mindset, Cloud Security and DevOps proficiency, familiarity with CSPM, CWPP, and VM tooling, knowledge of IaaS and IaC, SaaS experience, willingness to travel, and bonus startup experience.
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Power BI and DAX programming experience (star schema data modeling, measure design) Deep understanding of ETL, ELT pipelines, with the ability to design, optimize and orchestrate (SSIS, Data Factory.
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Azure DevOps Engineer (Release Management) o 5+ years of experience in a DevOps role with a focus on Security, Change Release Management, and Azure DevOps components. o Proficiency in Azure DevOps services, including Boards, Repositories, Pipelines, Artifacts, and Test Plans.
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Proficient with Infrastructure as Code, Configuration as Code, GitOps, Continuous Integration, Delivery and Deployment (CI/CD) practices and tools (Azure DevOps, GitHub, Jenkins, Atlantis, Ansible, Packer, Python, CloudFormation/Terraform, etc.
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