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Experience with Azure cloud services, Microservices, Kubernetes, IAC, Github actions, Terraform, and API Management Systems, ensuring efficient deployment, management, and scaling of backend applications preferred.
$130,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Infrastructure : ARM, Azure Pipelines, Docker, Kubernetes, Terraform. Base de données : SQL Server, Cosmos DB, Redis Cache, MongoDB, NoSQL, Base de données Graph. Développement front-end : Vue.js, React, Angular, TypeScript, LESS.
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You will have the opportunity to utilize an almost endless number of interesting and useful technology stacks, including: Spring Boot, React, Docker, Kubernetes, Helm charts, OpenFaaS, MinIO, Keycloak, Quarkus, PostgreSQL, ElasticSearch, MongoDB, CI/CD pipelines, Anaconda, Kibana, and much more.
ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Strong familiarity with Java, Docker, Kubernetes, React, NodeJS, MongoDB ? - Kubernetes (plus) Client is looking for a Full-Stack Developer to play a lead role in the design, development, and deployment of applications, microservices, APIs, and web applications to a true DevSecOps-enabled hybrid cloud environment.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Are experienced with container-centric architectures built with tools like Docker, Kubernetes (EKS, GKE, AKS, OpenShift, etc.) Are Experienced contributing to full-stack applications built using software like React, Node.js, and MongoDB or PostgreSQL.
ExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Familiarity with data storage technologies such as Delta Lake, HBase, Cassandra, and MongoDB. Experience with containerization technologies like Docker and/or Kubernetes. Familiarity with Apache Hudi, Apache Beam, Apache Flink, Google Cloud Dataflow, Amazon Kinesis Data Analytics, and/or Azure Databricks.
$105,000 - $145,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Experience with data integration tools like Apache Kafka, Flume, and NiFi. Experience with Hadoop, Spark, Hive, and/or other big data technologies. Build data processing and exploration pipelines along with ML infrastructure to power our intelligence using tools like Spark and Flink.
$105,000 - $145,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Solid experience with Spring framework, Rest API, MongoDB, ElasticSearch, Kubernetes and Docker. We are looking for a Principal Engineer to join the team that is building our latest cloud security product - Data Loss Prevention (DLP.
$170,000 - $275,000 a yearFull-timeExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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Database; Aerospike, Yugabyte, Cockroach, MongoDB, Cassandra, HBase, Couchbase, etc. Docker and Kubernetes. Customers like Airtel, Experian, Nielsen, PayPal, Snap, Verizon Media, Wayfair, and many others rely on Aerospike as the data foundation for the future to help them act in the microsecond moments that matter.
Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience in container and resource management technologies (Kubernetes, Docker, Apache Mesos), a plus. Experience in data architecture and modeling of analytical systems using Apache Hadoop and MongoDB, No-SQL technologies, highly desirable.
$112,930 - $173,756 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Devops (Docker, Kubernetes, Jenkins, etc) Database systems (PostgreSQL, MongoDB, Oracle, MSSql, etc) Minimum 5 years’ experience implementing high performant data ingestion pipelines using one or more ETL/ELT tools (Talend, Informatica, etc) or workflow tools (Argo, AirFLow, etc.
Full-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Extensive experience in web technologies like RESTful APIs, Spring boot based microservices development, and Kubernetes frameworks, as well as experience in technologies such as MongoDB, Elastic Search, Redis, Kafka.
Full-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Develop clean, testable, and scalable systems, using Java, Spring, MongoDB, Cassandra, JavaScript, Typescript, ReactJS, Storybook, Backend for Frontend, GraphQL, Kafka, RabbitMQ, Kubernetes, Github Actions, and other technologies.
Full-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Strong experience in one or more SQL and NoSQL database development ( MS SQL Server, PostgreSQL, Couchbase, MongoDB) Experience with Docker, Kubernetes. Experience with one of more CI/CD/CM tools (Azure DevOps / Atlassian DevOps.
ExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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3 years of experience with DevOps tools and processes such as ADO, GitHub, Docker or Kubernetes. 3 years of experience with relational and nonrelational databases such as SQL, MySQL, MongoDB, DynamoDB, etc.
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When Rage Applying Strikes: How to Identify Unserious Candidates
As the job market remains highly competitive, we have seen a surge in "rage applying." This is when candidates apply to multiple jobs, often without considering whether they are truly interested in the role. Rage applying goes hand-in-hand with quiet quitting. Often, employees want to entertain the thoughts and feelings of leaving their job, but they aren't necessarily serious about leaving yet. Meanwhile, other employees engaging in this trend are actually trying to find a better role. As a recruiter, it can be hard to identify who are the real applicants in a sea full of quiet quitters, but understanding rage applying and identifying red flags will certainly help.