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Familiarity with Conditional Access, Just-in-Time, EMS, MCAS, Azure Sentinel Exposure to Docker, Kubernetes. Designs incorporating Cloud Adoption Frameworks, Security Center, Azure Cost Manager, PowerShell, Terraform, ARM, JSON, Azure ASR, Azure Migrate.
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Comfortable with DevSecOps enablers such as Terraform (policies), Docker, Kubernetes, and secret stores such as Hashicorp Vault and Azure Key Vault. Explore more InfoSec / Cybersecurity career opportunities Find even more open roles in Ethical Hacking, Pen Testing, Security Engineering, Threat Research, Vulnerability Management, Cryptography, Digital Forensics and Cyber Security in general - ordered by popularity of job title or skills, toolset and products used - below.
$83,000 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Should have experience in Jenkins, Maven, Ansible, Docker and Kubernetes. Do you have experience in Jenkins, Maven, Ansible, Docker and Kubernetes? · Experience with Jenkins, Maven, Ansible, Docker, and Kubernetes.
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Experience with containerization and orchestration tools (e.g., Docker, Kubernetes) is a plus. Experience with modern data warehouse technologies (e.g., Snowflake, Redshift, BigQuery) and data modeling techniques.
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Proven experience building enterprise-grade software in a cloud-native environment (GCP or AWS) using cloud services such as GCS/S3, Dataflow/Glue, Dataproc/EMR, Cloud Function/Lambda, BigQuery/Athena, BigTable/DynamoExperience with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes.
$180,000 - $247,500ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Familiarity with containerization technologies like Docker and Kubernetes, and related AWS services such as ECS. Utilize infrastructure as code (IaC) practices, such as CloudFormation or Terraform, to automate provisioning and configuration management.
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Advanced knowledge of Linux operating systems and experience with current releases of RHEL/CentOS. Experienced working with Kubernetes, container-d and Docker Strong domain knowledge with web and database application performance engineering and capacity planning activities Understanding of Routing and Switching, Software defined networking, VXLAN technology, UDP encapsulation.
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Cloud experience and architectural understanding of Azure, Docker, and Kubernetes. Similar Jobs (1) Product Software Architect | Application Architect | Vue.js | SQL locations 10 Locations time type Full time posted on Posted 18 Days Ago.
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Familiarity with the modern data stack and serverless frameworks (e.g., Snowflake, dbt, fivetran, databricks, K8s, Docker, Terraform, etc) as well as familiarity with system integrations, API frameworks, and databases.
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Familiarity with high-performance computing (HPC) environments and parallel computing techniques and/or experience with cloud computing platforms (e.g., AWS) and containerization technologies (e.g., Docker, Singularity.
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Drive the integration or application of advanced technologies, machine learning and artificial intelligence across organizations in our vertically integrated business. Acting as the bridge between cross-functional teams, you synthesize business needs into well-defined initiatives, harness new opportunities, and ensure utmost data integrity.
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Experience with Docker, Kubernetes, Helm, Terraform. Basic sysadmin skills for Linux, Windows, MacOS. Experience with, and in order of preference, NodeJS, Java, Groovy, Shell, Powershell, Ruby, or Kotlin.
Full-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Meaningful DevOps experience having deployed via CI/CD, automated configuration management, Docker containers and Kubernetes, Helm. As pioneers of the virtual data room, SS&C Intralinks enables and secures information flow, facilitating strategic initiatives such as mergers and acquisitions, capital raising, and investor reporting.
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Demonstrated experience with scalable ML deployment methods (Docker, K8s, Ansible, Terraform) Experience with storage and data transformation technologies (S3, GCS, Airflow, Spark) Demonstrated experience with scalable ML deployment methods (Docker, K8s, Ansible, Terraform.
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