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Hands-on experience designing and developing applications on AWS cloud services, particularly Lambda, API Gateway, DynamoDB, and S3. Position Overview: As an AWS Cloud Developer at GTA you will play a crucial role in designing, developing, and maintaining scalable cloud solutions on the AWS platform.
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They are seeking a Cloud Database Engineer who will be instrumental in optimizing our cloud-based database solutions hosted on AWS. This role is central to ensuring high performance, availability, and cost-effectiveness of our database operations supporting innovative applications.
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Exposure to Cloud Services (Azure, AWS, etc,) Safe Software FME Desktop, FME Server, FME Cloud or KNIME Esri ArcGIS/ArcGIS Pro products (ArcMap, ArcCatalog, ArcToolbox) Linear referencing toolsets Extensive familiarity with enterprise database environments, including versioning concepts (Oracle, SQL Server) Demonstrating progressive and analytical problem-solving skills.
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Experience with cloud computing on at-least one of major providers (Google Cloud Platform, AWS or Azure). Experience in building cloud native microservices using Spring Boot or equivalent.
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You will lead a distributed team in US and UK that currently supports our applications built on top of Azure, AWS and GCP. You will manage vendor relationships for these cloud vendors.
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Proficiency in data analytics and machine learning techniques, with hands-on experience in developing and implementing predictive maintenance and optimization solutions including relevant certifications in AI or related fields (e.g., AWS Certified Machine Learning Specialty, Google Cloud AI/ML certifications) are desirable.
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Knowledge of enterprise web technologies, security, on-premise and cloud platforms Knowledge of established customer experiences (CX) is used to solve common IAM use cases Knowledge and experience in Identity and Access Management (IAM) and Security space preferred Experience implementing cloud computing solutions, including AWS, GoogleApps, Salesforce etc.
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The Data Lake Architect will utilize various on-prem and cloud systems to populate and manage the growing Azure & AWS Infrastructures. DOA Collaboration on Data Ingestion/ Storage Needs (Data from APIs, On Prem, Cloud, Legacy Systems.
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A broad understanding of API design and REST principles, know how to derive and communicate a good designExperience with Cloud Services (AWS, Google Cloud, Microsoft Azure, etc)Experience with SQL databases and designing schemasWilling and able to learn unfamiliar languages and technologiesExperience in the deployment of production-quality, scalable softwareA focus on coding standards and code quality with speed.
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As an AWS Cloud Developer at GTA you will play a crucial role in designing, developing, and maintaining scalable native cloud software applications on the AWS platform.
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As an AWS Cloud Developer you will play a crucial role in designing,developing, and maintaining scalable native cloud software applications on the AWS platform. Position Overview: As an AWS Cloud Developer at you will play a crucial role in designing, developing, and maintaining scalable cloud solutions on the AWS platform.
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3+ years of experience with cloud native capabilities including terraform, AWS lambda, S3 buckets, and/or API Gateways. That is why we created our Total Rewards Program, a comprehensive benefits package that extends beyond time spent at work to offer benefits focused on your health, wellbeing and financial security—as well as your professional development—to bring peace of mind to you and your family.
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CSS, HTML, Javascript, Python, RDBMS like Oracle and PostgreSQLExperience on Project Management / ITSM tools like ServiceNOw, Jira etcWorking experience on cloud platforms like AWS, GCPDevelop new features and test scripts.
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Experience in designing and implementing complex integration solutions and custom software builds on an AWS Cloud platform. Certifications in relevant technologies (e.g., AWS, Microsoft Azure, Agile/Scrum) are desirable.
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This new position aligns with the strategic direction to provide both cloud and on-premise IT infrastructure to meet the growing computing and analysis needs of its research and teaching community, particularly in the multi-disciplinary field of AI and its applications to many domains of scientific inquiry.
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