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Sr. Director, Software Engineering - SRE. Capital One is seeking a Senior Director of Software Engineering to lead, manage, mentor, and build extremely talented software engineering teams to deliver game changing technologies.
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Toyota Financial Services is launching a new Site Reliability Engineering (SRE) team, and we are seeking a Senior Manager to spearhead this initiative. Deep understanding of cloud platforms (e.g., AWS, GCP, Azure) and container orchestration technologies (e.g., Kubernetes.
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Highly experienced Full stack Engineer with expertise in cloud engineering, data engineering, and data warehousing, particularly within the AWS and google cloud ecosystem. Cloud Platforms : AWS (EC2, S3, RDS, Lambda, CloudFormation, VPC, IAM, Redshift.
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Good experience with cloud services (AWS), cloud engineering, architecture, and software as a service. Should have achieved mastery in one of the SecDevops practices – IaC-Terraform, SONAR, Git-CI Cloud-AWS, CICD-Git/Argo, microservices architecture deployment (primarily Kubernetes) with awareness about site reliability engineering principles, coupled with a willingness to learn and expand the knowledge.
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Must have four (4) years of experience with: Cloud data engineering experience in at least one cloud (Azure, AWS, GCP); Integration of multi-cloud services with on-premises technologies; Version control systems like Github and deployment of CI tools; At least one MPP database technology such as Redshift or Synapse or SnowFlake.
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Formal training or certification on software engineering concepts and 10+ years applied experience. Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, 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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BS in computer science, networking, information systems, computer engineering, or 4+ years' equivalent experience in information systems or software engineering. Experience in building, configuring, operating and/or securing cloud infrastructure and applications in Azure or AWS, either with native cloud service provider capabilities or tools such as Terraform, Ansible, CloudFormation, Azure Resource Manager, Google Cloud Deployment Manager, or CloudBridge.
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3+ years of hands-on experience with Artificial Intelligence (AI) such as reinforcement learning, or optimization algorithms Preferred qualifications, capabilities, and skills: PhD in Economics Experience developing advanced forecasting, AI, or ML models in consumer finance, financial services, tech, or a major retailer AWS Certified Machine Learning or Microsoft Certified: Azure AI Fundamentals preferred Expertise in at least one programming language, with Python preferred.
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Kimley-Horn is looking for Engineering students to join our Richardson, Texas (TX) office! Contribute to the pre-construction civil engineering design, planning, modification, permitting, and analysis for multiple projects ranging in size and scope.
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5 years' experience within Controls & Automation Engineering; preferable within Food/Beverage, Consumer Goods, etc. Bachelor's degree required; preferably in Engineering, Computer Science, Electronics.
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10+ (for senior) 15+ (for principal) of proven experience in modern cloud data engineering, data architectures, data warehousing, and software engineering. 10+ (for senior) 15+ (for principal) of proven experience in modern cloud data engineering, data architectures, data warehousing, and software engineering.
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Learning-Focused, finding ways to improve in their field and use positive constructive feedback to grow personally and professionally Think strategically and proactively anticipate future problems, needs or changes in the work We believe the successful candidate has these qualifications and experience: 10+ years of data engineering, BI development/engineering, and/or data architecture experience.
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The Product Engineering Manager will carry out the strategic plan designed to meet the goals for Project Execution, Process Improvement, Product Quality, and Product Costs, inline with overall organizational goals.
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Experience working with RAG technologies and LLM frameworks, LLM model registries (Hugging Face), LLM APIs, embedding models, and vector databases Employ technical knowledge and hands-on experience with Azure OpenAI, Google Vertex Gen AI, and AWS LLM foundational models, BERT, Transformers, PaLM, Bard, etc.
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QUALIFICATIONS: To excel in this role, you'll need: Education and Certification: Bachelor’s degree in computer science, Information Technology, or a related field (Master's degree preferred), along with AWS Certified Solutions Architect, AWS Certified DevOps Engineer, or equivalent certifications.
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engineering aws jobs Title: software Company: United Airlines in Plano, TX
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