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Virtualization or container technologies: VMware, OpenShift, Kubernetes, docker. Build, configure, coordinate and monitor production critical application servers using technologies including VMware, nginx, squid, apache, docker, OpenShift, and other open-source, 3rd party and proprietary software.
$94,500 - $125,200 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Automate and optimize processes, using tools like Jenkins, Azure (DevOps) Pipelines, Maven, Ant, Gradle, Chef, Puppet, Docker, and Urban Code. Automate and optimize processes, using tools like Jenkins, Azure (DevOps) Pipelines, Maven, Ant, Gradle, Chef, Puppet, Docker, and Urban Code.
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Our Tech Stack: Python, Flask, React with Remix and Chakra UI, Vue.js, GCP, Elasticsearch, Redis, SaaS, CloudSQL/MySQL, Terraform, OpenTelemetry, Docker, Kubernetes, Splunk, SignalFx, Sentry, New RelicWho you areWe recognize that there are a variety of personalities and work styles.
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GCP, Kubernetes, GitLab, CloudSQL/MySQL, Helmfile, Terraform, Ansible, Docker, Nginx, Redis, Python, Flask, React, Vue.js, Snowflake, Looker, Matillion. 6+ years experience with k8s, IaC, Terraform and Docker.
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6 years An equivalent of 6 years experience with big data, database query and analysis languages (e.g. Python, SQL, Snowflake SQL, R, Scala, SAS, Azure DataBricks) and data visualization tools (e.g. Power BI, Tableau) required.
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GraphQL, React Native, GeoDjango/Google Maps, Docker, Kubernetes, Jenkins, Git, and/or Prisma preferred. GraphQL, React Native, GeoDjango/Google Maps, Docker, Kubernetes, Jenkins, Git, and/or Prisma preferred.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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In this role, you will help define and build the data tech stack including Snowflake, AWS Redshift, Databricks, Python, Scala, SQL, SparkSQL, Talend, Airflow, AWS Glue, Tableau, AWS Sagemaker. 2+ programming experience developing data solutions in Python, Java, Scala or similar.
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Experience with large-scale distributed data processing systems, cloud infrastructure such as AWS or GCP, and container systems such as Docker or Kubernetes. Knowledge of the Python/Scala/Java data ecosystem.
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As a part of this team, you will use technologies like Java, Python, MySQL, PostgreSQL, Kafka, Elasticsearch, Terraform, Docker and native AWS resources such as Lambda, Kinesis, SQS/SNS and DynamoDB.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Others : MySQL | PostgreSQL | MongoDB | Docker Kubernetes | Microservices Architecture | EMR. Others : MySQL | PostgreSQL | MongoDB | Docker Kubernetes | Microservices Architecture | EMR. Python, AWS Services | ApacheSpark | ApacheAirflow | DBT | AWS Glue | Redshift Terraform.
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Proficient with Java, Python, Scala, Spark, SQL, large scale ML/DL platforms and processing tech stack. Experience with PyTorch, Tensorflow, Kubeflow, Sagemaker or Databricks. Our tenet is to build a strong cross-domain team to deliver E2E solutions covering tech areas ranging from machine learning, big data, microservices to data visualization.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Experience with cloud computing and deploying cloud infrastructure (e.g., AWS, GCP) using containers and orchestration (e.g., Docker, Kubernetes), managed using infrastructure as code (e.g., Terraform, Ansible.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Experience with cloud computing and virtualization technologies and containerized applications and frameworks (Jupyter, Docker, Kubernetes, Helm). MUST HAVE Active U.S. Top Secret/SCI Security Clearance with Counterintelligence polygraph.
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Knowledge of Time Series databases, Data Lakes, Docker, AWS EKS (Kubernetes), Airflow will be pluses, but not required. Knowledge of Time Series databases, Data Lakes, Docker, AWS EKS (Kubernetes), Airflow will be pluses, but not required.
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Aware of various tools, techniques, and hands-on knowledge on some of the tools, techniques (e.g. Python, Scala; data mining, predictive analytics, machine learning, etc) Aware of various tools, techniques, and hands-on knowledge on some of the tools, techniques (e.g. Python, Scala; data mining, predictive analytics, machine learning, etc.
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