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Experience developing enterprise cloud-native solutions involving Kubernetes, Docker, Cloudera, AWS, Jenkins, or RHEL Systems. Leverage expertise in Kubernetes, Ansible, AWS Cloud Migration, Cloudera, and IaC, while assisting junior engineers and broadening your knowledge base.
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Hands on experience developing enterprise cloud-native solutions involving Kubernetes, Docker, Cloudera, AWS, Jenkins, or RHEL Systems. Leverage your expertise in Kubernetes, Ansible, AWS Cloud Migration, Cloudera, and IaC.
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7+ years of advanced knowledge and experience as an AWS Cloud Engineer in all core services and offerings. AWS Certified Cloud DevOps Engineer, DevSecOps Engineer, Architect, Administrator Certifications preferred.
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Comfortable with DevOps tools like AWS Cloud Formation/Terraform, Docker and Git for CI/CD development. Hands-on experience in implementing Data Lake/Data Warehouse with technologies like – Databricks, Azure Synapse Analytics, SQL Database, AWS Lake formation.
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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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Extensive hands-on experience implementing data migration and data processing using AWS services: VPC/SG, EC2, S3, Autoscaling, CloudFormation, Lake Formation, DMS, Kinesis, Kafka, Nifi, CDC processing Redshift, Snowflake, RDS, Aurora, Neptune, DynamoDB, CloudTrail, CloudWatch, Docker, Lambda, Spark, Glue, Sage Maker, AI/Client, API GW, etc.
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At least 2 years of experience with Cloud Native technologies (Amazon Web Services, Microsoft Azure, Google Cloud Platform) 2+ years of experience with container orchestration services including Docker or Kubernetes.
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Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, 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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Cloud: AWS, GCP, Microservices, Containers, Docker, Kubernetes. Data Publishing technologies and building highly scalable systems to stream data to/from on-prem and different cloud platforms.
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Provide innovative solutions toward cloud migration. Experience with Big Data stack using Hadoop, Spark, Accumulo or MongoDB, and Solr or Elasticsearch. SoSACorp has an immediate need for an experienced Cyber Risk Analyst who will use their experience to work with DoD programs to discover their cyber risks, understand policies, and develop mitigation plans.
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Proficiency with Kubernetes, Google Cloud Run (or similar), Google Cloud Functions (AWS Lambda or similar), and Docker are a must. Over 5 years of experience developing microservices to GCP, AWS, or similar cloud environments.
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Technology - 5 to 10 years of demonstrated experience leading and developing complex applications using Terraform, Python/Java, setting up CI/CD pipelines, AWS/Azure/Google Cloud Platform ecosystem, Kubernetes, Cloud security tools, and Agile framework.
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Possess in-depth knowledge and hands-on experience with DevOps tools and technologies, including but not limited to GitHub, Jenkins, Terraform, Docker, Ansible, Kafka, AWS, Apigee. Experience with cloud-based systems such as AWS, Azure, or Google Cloud, including expertise in infrastructure-as-code tools such as Terraform or CloudFormation.
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Utilize programming languages like JavaScript, Java, Vue, and Python, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, Data Warehouse services like Snowflake, and a variety of AWS tools and services.
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service.
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