722 Azure Cloud Engineer jobs in Seagoville,TX

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Virtual Desktop & Exchange Engineer with Security Clearance

Gridiron IT Solutions

Dallas, TX 75201

Remote

New, Posted 14 hours ago

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Automation Engineer

Amazon.com Services LLC

Dfw Airport, TX 75261

OnsiteFlexible ScheduleHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in computer science, electrical engineering, automation engineering, or equivalent
2+ years of PLC programming or automation engineering experience
Experience with PLC-controlled automation and issue diagnosis in a continuous process or production environment
Experience with robotics work cells and its control systems
Experience with Ladder Logic and structure programming from Siemens, Allen-Bradley, or Codesys PLCs
Experience with electrical theory, robotics, controls components, and automated equipment
PLC/PC controllers
Industrial networks such as Ethernet, ControlNet, DeviceNet, Profibus
Motor control systems
Servo drives
Frequency drives
Electrical distribution systems
Move up to 49lbs as well as stand and walk during shifts lasting up to 12 hours, with or without reasonable accommodation
Climb ladders and gangways safely and without limitation
Regular bending, lifting, stretching, and reaching both below the waist and above the head
Engage in full manual dexterity in both hands and wrists

SmartExplore AI is experimental.

New, Posted 17 hours ago

DiversityJobs

Embedded Linux Software Engineer

Planmeca USA

Dallas, TX 75215

Flexible Schedule

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System Integration and Test with Security Clearance

Avenue Technologies And Commodities

Dallas, TX 75201

New, Posted 17 hours ago

DiversityJobs

IT Solution Architect: Human Capital & Talent Management

Coca Cola Southwest Beverages

Dallas, TX 75240

New, Posted 17 hours ago

DiversityJobs

Contracts Manager

Cloudera

Dallas, TX 75215

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Network Engineer CCNP with Security Clearance

TEKsystems c/o Allegis Group

Dallas, TX 75201

New, Posted 5 hours ago

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Quality Engineer

Mestex

Dallas, TX 75247

New, Posted 1 day ago

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Manager, AI Engineer

KPMG

Dallas, TX 75217

~ 26 min OnsiteHealth InsuranceRetirement Benefit

Minimum five years of recent professional experience in AI/ML, data engineering, or cloud solution engineering, with a minimum two years in a consulting or client-facing leadership role
Master's degree from an accredited college or university preferred; minimum of a Bachelor's degree from an accredited college or university in computer science, data science, engineering, or related field required
Professional certifications in cloud AI/ML platforms (for example: Azure AI Engineer Associate, AWS ML Specialty, Google Cloud ML Engineer) are a plus
Track record of delivering AI/ML solutions at enterprise scale, including integrations with core business systems with demonstrated ability to lead technical teams, manage deliverables, and build trusted client relationships
Hands-on expertise with at least two major cloud AI platforms (Azure AI/ML, AWS Bedrock/SageMaker, or Google Cloud Vertex AI)
Proficiency in Python (and/or other relevant languages) with strong experience in API development, microservices, containers, and CI/CD pipelines
Familiarity with MLOps frameworks (model monitoring, retraining pipelines, drift detection) and modern data engineering practices
Experience in building conversational AI/chatbots, generative AI use cases, or AI-powered automation solutions
Knowledge of AI security, data privacy, governance, and ethical AI frameworks
Strong problem-solving skills with the ability to translate complex technical concepts for executives
Excellent verbal and written communication skills, with experience creating client-facing deliverables
Willingness and ability to travel
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

SmartExplore AI is experimental.

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IT Solution Architect: Human Capital & Talent Management

Coca-Cola Southwest Beverages

Dallas, TX 75240

~ 26 min Onsite

Minimum of 5 years of experience working with SAP HCM/SuccessFactors solutions, including integration and development experience across modules/systems:
SAP SuccessFactors – Employee Central
SAP SuccessFactors – Learning
SAP SuccessFactors – Performance Management/Goal Management
SAP SuccessFactors – Recruitment
SAP SuccessFactors – Compensation
SAP – HCM
3rd party tools for Learning and Recruiting (e.g., LinkedIn, Indeed, JJ Keller, Tech Systems, etc.)
Bachelor's degree or foreign equivalent in Computer Science, Engineering, or a related field.
Proven track record of high performance in supporting Human Capital Management & Talent Management IT solutions and business processes, with knowledge of HCM Planning & Execution KPIs.
Experience in process analysis & redesign, consulting & relationship management, and project management (including coordinating work delivery within a multi-team environment).

SmartExplore AI is experimental.