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Experience in implementing containerized solution using Docker, Kubernetes etc. Added advantage if he/she has Azure and snowflake certifications. Experience in implementing containerized solution using Docker, Kubernetes etc.
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Knowledge of Security Testing and containers (Docker, Kubernetes) This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI.
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Should have at least 1 years of experience in deploying application in kubernetes/docker. Full stack developer / Cloud UI Application developer with Proficiency with fundamental front end languages such as HTML, CSS ,JavaScript, Typescript.
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Utilize programming languages like 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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Docker / Kubernetes o SQL (PostgreSQL is preferred) We are committed to diversity, equity, and inclusion as a pillar of our success and hope that those from all backgrounds and experiences apply, regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status, even if you feel like you may not meet 100% of the listed requirements.
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Deployment: Airflow, Docker, Kubernetes, Jenkins, AWS. Dog-friendly office (CAM office) Deployment: Airflow, Docker, Kubernetes, Jenkins, AWS. Kensho is a Machine Learning (ML) and Natural Language Processing (NLP) company, centered around providing cutting-edge solutions to meet the challenges of some of the largest and most successful businesses and institutions.
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Work on public cloud infrastructure, Big data technologies, 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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Solid understanding of microservices architecture, containerization (Docker, Kubernetes), and one or more public cloud technologies (e.g., AWS, Azure, GCP) Solid understanding of microservices architecture, containerization (Docker, Kubernetes), and one or more public cloud technologies (e.g., AWS, Azure, GCP.
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Comfortable with Linux, Docker, AWS, GIT, Artifactory in terms of both tools and systems administration. Extensive hands-on experience with performance engineering, including the use of JMeter, LoadRunner or similar tools, as well as profiling tools.
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Practical experience with Docker containerization and clustering (Kubernetes/ECS) Proficiency with AWS (e.g. IAM, EC2, VPC, ELB, ALB, Autoscaling, Lambda) Practical experience with Docker containerization and clustering (Kubernetes/ECS) Proficiency with AWS (e.g. IAM, EC2, VPC, ELB, ALB, Autoscaling, Lambda.
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Working experience and knowledge in Containerization, Docker, Jenkins, Kubernetes, DevOps pipelines. Experience in Splunk, AppDynamics, Git, Nexus and their integration with Cloud platform. Experience working on Java, J2EE Technologies, Spring boot, Microservices, REACTJS, AWS, CI-CD Full Stack.
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Knowledge on AWS Code Pipeline, CI-CD Pipeline, Docker, Kubernetes and Monitoring tools, SRE (Site-reliability Engineering) Knowledge on AWS Code Pipeline, CI-CD Pipeline, Docker, Kubernetes and Monitoring tools, SRE (Site-reliability Engineering.
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Experience with many or all of the following: Python, R, Bash/Unix scripting, common bioinformatics tools (samtools, bwa, RNAseq specific tools), workflow management systems (snakemake, nextflow), relational databases (SQL), GraphQL, Tableau, cloud computing platforms and tools (AWS/Google Cloud), Docker, software version control (git), CI/CD.
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Support practices like Continuous Integration, Continuous Deployment, Test Automation, Build Automation and Test-Driven Development to enable the rapid delivery of working code utilizing tools like Jenkins, Nexus, Terraform, Git and Docker.
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Experience with cloud deployment technologies: Docker, Kubernetes, Google Cloud Platform/AWS/Azure or other cloud providers, Terraform, or related tools. Experience with cloud deployment technologies: Docker, Kubernetes, Google Cloud Platform/AWS/Azure or other cloud providers, Terraform, or related tools.
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docker job in Boston, MA
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