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Deep understanding of AWS/GCP/OCI cloud services and how to leverage them for compute, storage, and managed services including, but not limited to databases, managed Kubernetes, and Python/Django application services.
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Utilize programming languages such as Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, 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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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.
$135,700 a yearRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Azure Cloud Infrastructure Engineer – Python, Kubernetes, Terraform, Networking. Title: Azure Cloud Infrastructure Engineer – Python, Kubernetes, Terraform, Networking. have experience in Networking, Kubernetes, Python, Terraform and PowerShell.
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2+ years of experience with coding and scripting ( Python, SQL, Java, JavaScript, Golang, Bash, Perl or Ruby ) 2+ years of experience with coding and scripting ( Python, SQL, Java, JavaScript, Golang, Bash, Perl or Ruby.
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At least 2 years experience with coding and scripting (Python, SQL, Java, JavaScript, Golang, Bash, Perl or Ruby) Strong understanding of container orchestration (Nomad, Kubernetes) At least 2 years experience with coding and scripting (Python, SQL, Java, JavaScript, Golang, Bash, Perl or Ruby.
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2+ experience with coding and scripting (Python, SQL, Java, JavaScript, Golang, Bash, Perl or Ruby) Senior Software Engineer Back End (Java, Python, Spring Boot, AWS) 2+ years of experience with container orchestration services including Docker or Kubernetes.
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Strong proficiency in programming languages and scripting tools used in data engineering (e.g., Python, SQL, Scala). Familiarity with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes.
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Software Engineering & DevOps: Version Control: Familiarity with tools like Git. Continuous Integration/Continuous Deployment: Knowledge of pipelines and tools like Jenkins, Travis CI. Containerization: Familiarity with Docker, Kubernetes, etc., for scalable deployment of data science applications.
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This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). At least 2 years of experience with Cloud Native technologies (Amazon Web Services, Microsoft Azure, Google Cloud Platform.
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Our tech stack: Javascript, React, React Native, Redux, Python, Django, Flask, Kubernetes, AWS, Docker and more. Experience with AWS, Docker, and Kubernetes is nice to have. Our tech stack: Javascript, React, React Native, Redux, Python, Django, Flask, Kubernetes, AWS, Docker and more.
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Proficiency in programming languages like Java, Python, SQL, Go, Rust and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Nomad and Kubernetes. Proficient in Python, TensorFlow, PyTorch, or other AI frameworks and libraries.
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Application Management:Apache, NGINX, HAProxy, Varnish, MySQL, MariaDB, Postgres, Virtuozzo, OpenVZ, Cacti, Elasticsearch Logstash Kibana (ELK), Docker, KVM, cPanel, Magento, WordPress, WooCommerce, Drupal, Cobbler, Ansible, Git, Bitbucket, Asterisk, FreePBX, Redis, Memcache, CloudFlare, NFS, Firewall, Iptables, SELinux, Samba, Kubernetes, Drone, Jenkins.
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3+ years hands-on experience with AWS or GCP, EC2 (GCE), IAM, S3 (GS), Docker, Kubernetes pods, Jenkins, Prometheus, CloudWatch (Stack Driver), Linux, Ansible. Support infrastructure components, data streaming frameworks and databases, such as Kubernetes, Flink, Storm, Spark, Kafka, Cassandra, Elasticsearch, Redis, Postgres, ArangoDB, and many others.
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