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Proficiency with infrastructure (AWS, Terraform) and UI (HTML, CSS, Figma) is optional, but nice to have. minware's aims to eliminate waste from software engineering by helping engineers write less bad code.
$120,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are seeking a Software Engineer - Full Stack with a deep understanding of both backend and frontend technologies, including Go, AWS Lambda, Terraform, React, Next.js, MUI, and Tailwind CSS. The ideal candidate will have experience with distributed systems, serverless architectures, and AWS infrastructure.
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C#, developer, devops, java, matlab, php, software development engineer, software engineer. Solid experience with cloud-based API platforms, preferably AWS. c#, developer, devops, java, matlab, php, software development engineer, software engineer.
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You will have experience with continuous integration and deployment automation tools such as Jenkins, Harness, AWS CloudFormation, Salt, or Puppet, Chef, Ansible. We are seeking a Site Reliability Engineer who will improve and maintain software development, test and live infrastructure and services.
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Work with our business partners to identify requirements and architecture and implement scalable, open solutions using Cloud Native technologies, including and leveraging AWS services, Machine Learning techniques, GIT, Jenkins, Docker containerization and virtualization, and Terraform.
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3+ years’ experience with Data Science Tools, AWS Redshift, SQL, Python and data modeling. Competency with Agile, Scrum, DevOps and associated software including JIRA and Microsoft Office.
Full-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Craft and execute campaigns and leverage organic channels to reach our customers and help grow their understanding and usage of AWS Developer Tools services. As a Senior Product Marketing Manager for our Next Generation Developer Tools, you will have the opportunity to define and drive the marketing and go-to-market strategy for current and future, cutting-edge, next-generation developer services including generative AI technologies that are aimed at increasing developer productivity, accelerating modern software development and release processes, and removing developer friction.
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Familiarity with popular MLOps tooling from cloud vendors like GCP (Vertex AI), AWS (SageMaker) or Azure Machine Learning and MLFlow, Kubeflow, etc. AWS Advanced Networking/ AWS Security/ DevOps / Solution Architect Professional Certifications.
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With Amazon SageMaker, AWS is building customer-facing services to empower data scientists and software engineers in their deep learning endeavors. At AWS AI, we want to make it easy for our customers to train their deep learning workloads in the cloud.
$134,500 - $261,500 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Senior Software Engineer - Machine Learning Infrastructure. Former experience in public cloud systems, particularly in AWS or GCP environments, is a great plus. Familiarity with a diverse set of technologies, including but not limited to Spark, Flink, Kafka, Iceberg, and Ray, in the data and machine learning ecosystem.
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Cloud Infrastructure Deployment: Lead the deployment and management of AI services on cloud platforms such as AWS, Google Cloud, and Azure for scalability, security, and cost optimization. Experience developing cloud infrastructure services such as AWS, Google Cloud and/or Azure.
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Professional-tier certification in AWS (Solutions Architect or DevOps Engineer), GCP (Cloud Architect or Cloud DevOps Engineer) or Microsoft Azure (DevOps Engineer Expert or Azure Solutions Architect Expert.
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Experience developing and deploying resources with a cloud provider (I.e., Azure, AWS, Cloudflare, GCP) As a Cloud Engineer, you will deploy and maintain infrastructure as a service (laaS) and platform as a service (PaaS) resources to public cloud providers in order to host and support our world-class software.
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Experience with infrastructure automation tools such as Gitlab, Jenkins, AWS Cloud, Terraform, Ansible, Docker, and Kubernetes. As a Test Automation Software Engineer at our client, you will have one of the most important and visible roles in the company.
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Lead and manage a global team of architects, software engineers, network engineers, project managers, QA, Test and Support Specialists. AWS, GCP or Azure. Evaluate emerging technologies and existing software and hardware tools to ensure the right selection to maintain a competitive edge in the sector and overall efficiency.
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