1454 Aws Developer jobs in Dallas,TX

Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training
1+ years of experience designing, developing, and implementing large-scale solutions in production environments
Experience with the following technologies:
Programming Languages: Java, Python, C#, Javascript/Typescript
Frameworks: Spring/SpringBoot, FastAPI
Front End Technologies: Angular/React
Deployment Technologies: Kubernetes, Docker
Source Control: GitHub, Azure DevOps
CICD: GitHub Actions, Azure DevOps
Data management: PostgreSQL, MongoDB, Redis
Integration/APIs Technologies: Kafka, REST, GraphQL
Cloud Providers such as Azure and AWS
Test Automation: Selenium, TestNG, Postman, SonarQube, Cypress, JUnit/NUnit/PyTest, Cucumber, Playwright, Wiremock/Mockito/Moq
Ability to concisely convey ideas verbally, in writing, in code, and in diagrams
Experience in Agile methodologies, such as SCRUM
Experience in DevOps Toolchain methodologies, including Continuous Integration and
Continuous Deployment

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DevOps and Tools Engineer

Fisher Investments Careers

Dallas, TX 75217

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Delivery Manager, DevSecOps

Optimum Communications

Plano, TX 75086

$123,379-$176,256/yr

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Sales Development Representative U.S.

Purolator International

Grapevine, TX 76051

New, Posted 2 hours ago

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Director, AI Engineer

KPMG

Dallas, TX 75217

OnsiteHealth InsuranceRetirement Benefit

Minimum eight years of recent experience in AI/ML, data analytics, and cloud technology, including leadership roles in consulting or technology organizations; AI certifications (for example: Professional AI Architect, Machine Learning Engineer) or equivalent are a plus
Advanced degree from an accredited college or university in computer science, data science, engineering, or related field preferred; minimum of a Bachelor's degree from an accredited college or university is required
Deep knowledge and hands-on experience with Microsoft, AWS, and/or Google Cloud's AI ecosystem (including agent build functionality) to design and orchestrate intelligent multi-agent systems such as chatbots and virtual assistants that handle complex, dynamic tasks and conversations
Proficient in architecting and implementing AI-powered workflow solutions using Microsoft, AWS, or Google Cloud services (For example: Foundry, Bedrock, Vertex AI), with capabilities in defining blueprints and technical requirements for scalable, automated systems with expertise in agentic AI and automation
Skilled in designing multi-agent conversational AI systems integrated with enterprise applications (CRM, ERP), enhancing customer engagement through smart chatbots and virtual agents to improve user experience and operational efficiency; experienced in conversational AI integration
Deep understanding of scaling AI-driven solutions, ethical AI, and MLOps practices for maintaining models; ability to bring industry consulting insights with a balance of technical and business acumen to deliver strategic, value-driven AI solutions; In-depth knowledge of AI orchestration and best practices
Travel as needed
Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)

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Food Service Director

ARAMARK

Dallas, TX 75246

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Director Data Engineering

McKesson

Irving, TX 75039

~ 22 min Onsite

12+ years experience of professional experience in related IT field with 4+ years experience in leadership, planning and communication roles.
Deep expertise in Microsoft Azure data services ecosystem (Azure Data Factory, Synapse Analytics, Data Lake Storage, Event Hubs, Cosmos DB)
Advanced proficiency with Databricks platform and advanced analytics workflows
Extensive experience with BI development, administration, and enterprise deployment
Strong foundation in modern data architectures, scalable Lakehouse using Medallion patterns and Unity Catalog; "RAG-ready" infrastructures and AI-driven data observability to automate quality and drift detection, real-time streaming, and event-driven systems
Proficiency in multiple programming languages (Python, Scala, SQL, .NET) and infrastructure
Azure certifications (Azure Data Engineer Associate, Azure Solutions Architect Expert)
Databricks certifications (Professional Data Engineer, Professional ML Practitioner)
Experience in regulated industries (healthcare, financial services, manufacturing)
Master's. Degree in Computer Science, Engineering or equivalent.

SmartExplore AI is experimental.