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Job Description: Senior application developer with 7+ years of experience to support application development of Time & Pay Data Analytics in Google Cloud Platform. knowledge and proven use of contemporary data mining, cloud computing and data management tools including but not limited to Microsoft Azure, AWS Cloud, Google Cloud, hadoop, HDFS, mapr and spark.
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Looking for a Cloud DevSecOps Engineer who hast at least three years of professional experience in the DevSecOps space. Excellent knowledge of Cloud Infrastructure – Compute – Amazon Elastic Compute Cloud (EC2), Virtual Machines (VM’s), SQL – Amazon Relational Database Service (AWS RDS) or Azure SQL, Document Data Store (DynamoDb,Mongo), Security Groups, Subnets.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Ideal candidates will have a mix of container security, cloud exposure, and DevOps/security experience. Experience integrating security capabilities in cloud and application lifecycle management platforms, especially in a DevOps model.
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Information for applicants with a need for accommodation: Cloud Data Engineer (Snowflake/Databricks) 3+ years of experience designing and building solutions utilizing various Cloud services such as EC2, S3, EMR, Kinesis, RDS, Redshift/Spectrum, Lambda, Glue, Athena, API gateway, etc.
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One or more certifications: OCI Associate Architect, OCI Architect Professional, AWS Certifications: AWS Solutions Architect, AWS Security Specialist, Microsoft Certified: Azure Security Engineer, Associate, Microsoft Certified: Azure Solutions Architect, GCP Cloud Architect Certification, Oracle Database, CompTIA Security +, ISC/2 CISSP.
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Create cloud data models and database architecture using database deployment, monitoring automation code, and for long term technical viability of cloud master data management integrated repositories.
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Join SADA as a Senior Enterprise Cloud Architect, Software EngineeringYour MissionAs a Senior Enterprise Cloud Architect at SADA, with a specialization in Software Engineering, your main responsibility is to lead a team of architects and engineers in designing, prototyping, developing, and deploying scalable software solutions for our customers on the Google Cloud Platform (GCP.
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Experience with AWS cloud services : EC2 , EMR, RDS, Redshift , Modern data platforms, Snowflake , dbt , Fivetran and Airflow. 3+ years of experience with Cloud based DW such as Redshift , Snowflake etc.
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Sales Territory or Remote (Regardless of Location): $170,700 - $194,800 for Lead Machine Learning Engineer. San Francisco, California (Hybrid On-Site): $213,400 - $243,500 for Lead Machine Learning Engineer.
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I'm currently looking for a Senior to Staff-level FPGA Engineer for a start-up EV charging and microgrid company based in Atlanta. Senior / Staff FPGA Engineer. I'm currently looking for a Senior to Staff-level FPGA Engineer for a start-up EV charging and microgrid company based in Atlanta.
$160,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Cloud DevOps Engineer, Senior. As a DevOps engineer, you know how to set up cloud environments and provision computer networking, storage, and virtual networks—ultimately, how to “harness the cloud.
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The Electrical Engineer is responsible for performing basic electrical power, lighting, and low voltage system engineering tasks for electrical construction projects, under the direct supervision of an upper level Engineer, Senior Electrical Designer, or Engineering Team Leader as assigned by the Corporate Engineering Manager.
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Other technical skills needed could include Python, Docker, Kubernetes/EKS, Argo CD, GitHub Actions, IaC: Terraform, Cloud Formation, Helm, Splunk, Dynatrace. You will apply mature engineering principles and build modular services on the cloud.
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Hands on experience with security tools such as Qualys, Nessus, SonarQube, Veracode, Burp Suite, Nexpose, Snort, or MetasploitExperience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes.
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Lead the design, development, and deployment of ML pipelines and data solutions in cloud environments such as AWS, Microsoft Azure, and Google Cloud Platform (GCP), with a focus on AWS.
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cloud engineer gcp jobs Title: senior software engineer in Georgia
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