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Clear Understanding of Cloud Databases Security involving AWS IAM Users and access, IAM Roles and Policies, Federated Users and permissions. Experience with AWS Database Migration Service (AWS DMS) and migrating RDBMS (SQL Server/Oracle) from On-premise to AWS (Aurora/Redshift.
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Skill Set: Azure or AWS Cloud platform, AI/ML & MLOps, Java, Spring, Microservices, Bigdata, Streaming, Security, Application tiers & Network tiers, Azure Architect, Synapse, AI/ML, MLOps.
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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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Manage and provision resources within AWS, Azure, GCP, and other cloud environments Automate with code utilizing popular DevOps tools and scripting languages, including Terraform, Packer, Salt, Ansible, Python, Powershell, Bash, Javascript, and Go.
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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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4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) Our CI/CD pipelines are implemented on top of Jenkins and deployed to AWS. Some of the other technologies we have in our ecosystem are Glue, S3, Lambdas, ALBs, Snowflake and Databricks.
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Experience with AWS cloud services : EC2 , EMR, RDS, Redshift , Modern data platforms, Snowflake , dbt , Fivetran and Airflow. Must have hands on Snowflake, AWS and Airflow. 3+ years of experience with Cloud based DW such as Redshift , Snowflake etc.
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Certification in any of the following is a plus - OSCP, OSCE, PCNSE, Google Cloud Architect, AWS Cloud Architect, CISSP-ISSEP - Sec. Eng. Professional, GIAC Certified Enterprise Defender (GCED), CCSP, Splunk Cert. Enterprise Security Administrator.
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Lead Software Engineer- Cloud Platform. Proven experience with enterprise-scale technical delivery experience with AI Services including OpenAI, Schematic Kernel, AWS Bedrock, Machine Learning (or equivalent), Generative AI, LLM customization, NLP, Search, MLOps, Open-source AI frameworks, AI Infrastructure, architecture design.
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Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment. As a Capital One Lead Software Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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Experience with public cloud services (Azure, AWS, Alibaba). Experience with implementing and managing Web Application Firewalls (Fortinet FortiWeb, Imperva Cloud WAF, Cloudflare WAF, Akamai Kona, MS Azure WAF, AWS WAF, etc.
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Cloud certifications such as AWS Solutions Architect Associate/Professional, AWS SysOps Administrator, AWS Developer, or AWS DevOps Engineer. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and securing cloud-based applications and services.
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Authoring and maintaining IaC with Terraform and using IaC to deploy resources in AWS, Azure, GCP, or any other public cloud providers; Cloud services (AWS, Google Cloud, Microsoft Azure, etc.
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Key Words: Java | Angular | TypeScript | AWS Cloud | SQL | Big Data | Spring Boot | Databricks | Cassandra | Kubernetes | Microservices | Spark | Databricks |. Familiarity with cloud technology stacks including AWS, Kubernetes, Spring Boot, Kafka, SSO, and Cassandra.
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Hands-on experience with AWS cloud services, including Databricks/Spark, Terraform, Docker containers, ECS, CloudFront, DynamoDB, S3, and Kinesis. Utilize AWS cloud services, including S3, Databricks/Spark, CloudFront, DynamoDB, ECS, Kinesis, to build scalable and resilient solutions.
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aws cloud jobs Title: devops engineer Company: Oracle
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