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Experience with deploying in Kubernetes (EKS preferred); experience with Infrastructure as Code (Terraform) a plus. A pioneer of the geo-location space, Foursquare's location tech stack is being utilized by our mobile apps CityGuide and Swarm, as well as the world's largest enterprises and most recognizable brands, like Amazon, Microsoft, Samsung, Spotify, Uber, Airbnb and others.
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Experience around DevSecOps including docker and Kubernetes. Good to have knowledge of docker and Kubernetes. Experience with machine learning tools such as mlFlow, Databricks AI/ML, Azure ML, AWS sagemaker,etc.
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Experience with one of the many infrastructure-as-code tools such as Terraform (our favorite), Kubernetes, CloudFormation, Docker, Ansible, Salt, Packer, Puppet, Chef, or similar. You have built and deployed containerized applications and services to Kubernetes (e.g. GKE, EKS.
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Skills: AWS / AZURE / GCP, Python, Linux, Puppet / Chef / Ansible, Terraform, Docker/ Kubernetes, CI /CD (Automation, Metrics), Observability (Datadog / Dynatrace / Sysdig / Aqua), SEIMIn this role, you can expect to:Work with engineering teams to propose features that solve recurring patterns of customer complaintsDesign and implement scalable, secure, distributed, fault-tolerant systems that satisfy sophisticated requirements.
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You previously worked with Container technologies such as Docker, Kubernetes, AWS and Virtualization Certifications. You have solid hands-on experience (5+ years) with Cisco ASR routers, Cisco Cat 8k virtual routers, Nexus switches (N7k, N5k, N2k), Catalyst switches, Cisco ASA firewalls (virtual and physical.
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Experience with containerization/orchestration technologies, such as Docker, Elastic Container Service (ECS), Kubernetes, etc. Proficiency in Spring Framework, including Spring Core and Spring Boot Working experience with SQL and NoSQL databases, along with ORM frameworks Desired Qualifications Bachelor's degree in computer science, engineering, information systems, or related field/work experienceFamiliarity with Kafka or other streaming technologiesExperience with cloud-based security principles and protocols include OAuth2, JWT, encryption, hashing data, secret management, etc.
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Utilize tools like Airflow for workflow management and Kubernetes for container orchestration to ensure seamless deployment, scaling, and management of data processing applications. Expertise in workflow management tools like Airflow and container orchestration systems such as Kubernetes.
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Experience using big data technologies (Snowflake, Airflow, Kubernetes, Docker, Helm, Spark, pySpark) Experience using big data technologies (Snowflake, Airflow, Kubernetes, Docker, Helm, Spark, pySpark.
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Market-relevant, complementary technologies e.g. Apache Kafka, Kubernetes. Other Tools and connectors - Ops/Cloud Manager, Compass, Connector for BI, Connector for Spark. Modern and popular architecture design patterns, methodologies and concerns e.g. microservices, event-driven architectures, DevOps, cloud, security.
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Familiarity with container and container orchestration such as ECS, EKS, Kubernetes, and Docker. Experience with continuous integration and continuous delivery tools like Jenkins, Spinnaker or Terraform.
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Hands-on experience in developing and deploying Cloud Native Applications utilizing Azure PaaS Capabilities such as App Services Plans, Key Vault, SQL Azure DB, Azure Functions, Containers, AKS (Azure Kubernetes Service), Logic Apps, Service Bus, Event Grid, and API Management.
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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.
$17 - $19 an hourInternExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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They have a portfolio of dockerized microserve applications, and are seeking to build a fully automated platform for application deployments - working with Terraform, Kubernetes and Continuous Delivery (ArgoCD.
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Knowledge of microservices architecture, RESTful APIs, and containerization (e.g., Docker, Kubernetes). Design and develop scalable microservices and APIs leveraging AWS cloud services such as EC2, S3, Lambda, and RDS.
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Strong experience with Azure services, including but not limited to Azure Active Directory, Azure Kubernetes Service, Azure Data Factory (ADF), and Azure DevOps. Exposure to Kubernetes, microservices architecture, and cloud architecture.
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kubernetes job in Chicago, IL
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