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In-depth experience with development in Commercial Cloud Platforms (ex, AWS, Google Cloud, Azure) · Participate in software programming initiatives to support innovation and enhancement, using HTML, CSS, JavaScript, Java, Python, SpringBoot, Hibernate, and Angular.
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Experience with cloud platforms and services (e.g., AWS, Azure, and Google Cloud). Ability to create and test REST APIs and work using Java Spring boot. We provide primary contract support in multiple Technology Services including Software Development, Cyber Security, Data Analytics, Cloud Solutions, Machine Learning and Business Services including Program and Financial Management, Business Process Re-engineering and Quality Assurance.
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Experience with development in Commercial Cloud Platforms (ex, AWS, Google Cloud, Azure) Participate in software programming initiatives to support innovation and enhancement, using HTML, CSS, JavaScript, Java, Python, SpringBoot, and Hibernate.
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Preferred Certifications: AWS Certified Solutions Architect – Associate, Architect with Google Cloud Platform: Infrastructure. In particular, the successful candidate will help drive GAM1’s efforts to support NOAA’s National Weather Service Office of Dissemination 24x7 Cloud support operations.
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Working experience with serverless technologies in Kubernetes, Java, Python, AWS, Google Cloud or other widely used Cloud Platform. We solve challenging problems across a wide range of industries, but our superpower is cloud-based geospatial data processing, remote sensing, and Earth science systems.
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Watch the below videos of us participating at Industry events with the Top companies in Technology at Oracle Cloud world /Oracle Java one (Las vegas) and at Gartner Data Analytics Summit (Florida.
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An in depth understanding of Cloud solutions (AWS, Azure and/or Google Cloud Platform) and experienced in integrating into traditional hosting/delivery models. Experience with two or more of the following areas including Oracle 11g, Oracle Exadata, traditional data marts, Hadoop, Databricks, Snowflake, Data Stage, ETL, Tableau, Qlikview, AI/Client techniques, Java, Impala, Hive etc.
ExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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Experience with cloud-based data warehousing solutions such as AWS Redshift or Google BigQuery. Proficiency in at least one programming language such as Python, Java, or Scala. Experience with cloud-based data warehousing solutions such as AWS Redshift or Google BigQuery.
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Expertise working with Amazon Web Services, Microsoft Azure, and Google Cloud Platform. Support the customer infrastructure: Windows/Linux servers, SQL Server/MySQL databases, Java web-based apps, ETL, and reporting systems.
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We also are a Google Cloud partner company. We provide strategic and technical advice, and we have expertise in areas covering Artificial Intelligence, Cloud Migration, Custom Software Development, Data Analytics Infrastructure & Cloud Solutions, Cyber Security Services, etc.
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Leverage cloud services (AWS, Azure, or Google Cloud) for scalability, reliability, and resource optimization. In-depth knowledge of cloud-native concepts and experience deploying applications on platforms like AWS, Azure, or Google Cloud.
$160,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Drive the development of a comprehensive generative AI SDK, integrating Large Language Models like OpenAI and Google AI with popular programming languages such as Python, Java, c# etc., using platforms like AWS Bedrock or Azure Semantic Kernel or Google’s Vertex AI.Own and drive extensive technical efforts across multiple teams, ensuring projects are executed seamlessly and meet high standards.
$174,000 - $218,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Cloud-based solutions (e.g. AWS, Azure, Google Cloud) Object-oriented programming languages, like Python, Java, and Scala. Data pipelines and workflow management tools (e.g. Airflow.
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Cloud Computing: AWS (EC2, S3, RDS, Lambda), Azure, Google Cloud Platform, IAM, EC2 Auto Scaling, Amazon Redshift, CloudFormation. AWS Cloud Engineer. Programming: Python (Pandas, NumPy, PySpark), SQL, Java, Scala, Bash Scripting.
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Data Storage: Hadoop, Apache Spark, Apache Kafka, Elasticsearch, Cassandra, DynamoDB, MySQL, PostgreSQL. DevOps & Monitoring: Docker, Jenkins, Ansible, Terraform, Prometheus, Grafana. Certifications in AWS Certified Data Engineer and AWS Certified Big Data.
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