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Aws Engineer With Python

Dallas,TX

1993 Aws Engineer With Python jobs in Dallas,TX

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L2 Production Support Specialist with AWS

CGI

Dallas, TX 75217

HybridEducation AssistancePaid Time OffRetirement Benefit

  • 2+ years of strong hands-on experience supporting production environments in AWS.
  • Solid understanding of AWS services including EC2, VPC, IAM, S3, Route 53, CloudWatch, CloudTrail, ELB, EBS, SQS, AMIs, and AWS CLI.
  • Experience implementing cloud governance frameworks, security controls, and compliance monitoring.
  • Ability to build automated dashboards, operational reports, and compliance metrics.
  • Strong scripting skills using Python, PowerShell, or Bash to automate operational tasks.
  • Experience with production support, incident management, root cause analysis, and on-call support.
  • Familiarity with monitoring and observability platforms such as CloudWatch, Splunk, Dynatrace, OpenTelemetry or similar tools.
  • Bachelor's degree in computer science, Information Systems, Information Technology, or a related technical discipline preferred.
  • AWS certification is required for senior positions.
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Commissioning Engineer

Amazon Data Services

Dallas, TX 75215

Requires TravelHealth InsurancePaid Time OffRetirement Benefit

  • 5+ years of engineering, installation, or startup/commissioning of electrical and mechanical systems experience
  • Bachelor's degree in Mechanical/Electrical Engineering or 5 years of relevant discipline work experience
  • High technical competency in either mechanical or electrical or control systems utilized in critical infrastructures, with the capability to learn and be trained in the others.
  • Understand the design concept and intent by reviewing mechanical or electrical design documentation, including drawings, specifications, vendor submittals and sequences of operations and provide feedback on the same in accordance with Amazon standards for basis of design.
  • Develop but majorly review commissioning documentation such as test plans, scripts and reports developed by vendors to ensure accuracy in accordance with the design requirements.
  • U.S Citizenship Required
  • Ability and willingness to travel domestic and internationally for up to 80% of the year.
  • Required to provide personal transportation for meetings and job visits away from the office; reimbursed.
  • Walk job sites in uneven terrain
  • Work at heights and from ladders
  • Regularly walk, use hands and fingers, reach with hands and arms, stoop, kneel, crouch or crawl
  • Lift and/or move up to 49 pounds; and participate in group lifts for 50 pounds or more
  • Carry objects weighing up to 49 pounds for short distances
  • Perform physical tasks throughout the day without becoming overly tired
  • Ability to manipulate small wires and objects easily
  • Work in a noisy environment
  • Work in environments that are colder or hotter than a normal office environment
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New, Posted 1 day ago
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Commissioning Engineer

Amazon Data Services

Dallas, TX 75215

New, Posted 1 day ago
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Manufacturing Engineer Level 4 PLM/MES/ERP

Lockheed Martin Corporation

Fort Worth, TX 76137

~ 44 min OnsiteFlexible ScheduleEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Manufacturing Engineering and/or Production Engineering experience
  • 3DX Product Lifecycle Management (PLM) software experience (Dassault Systèmes)
  • Manufacturing Execution System (MES) experience
  • Bachelor's degree from an accredited college in a related discipline
  • Ability to obtain a Secret security clearance
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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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11 - Senior Manager, Test Manufacturing Engineering

Celestica

Richardson, TX 75080

~ 18 min Onsite

  • Senior Manager, Test Manufacturing Engineering
  • 3+ years of experience in hardware test development, manufacturing test software execution, or diagnostic code engineering
  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or closely related field
  • The Test Development Engineer is responsible for architecting, coding, and deploying advanced hardware and software test solutions across all manufacturing stages of high-performance compute infrastructure
  • DFT Optimization: Analyze circuit schematics and layout files to ensure adequate physical test point allocation, maximizing structural test access metrics before design release
  • Silicon Diagnostic Hookup: Collaborate with tier-1 chip vendors (e.g., Nvidia, Broadcom, Marvell) to implement and exercise built-in self-test (BIST), custom firmware loops, and JTAG boundaries
  • Automated Software Architecture: Develop, debug, and maintain scalable automated test code scripts using Python, C/C++, or LabVIEW to control instruments and extract diagnostics
  • Fixture & Interface Design: Specify, debug, and qualify hardware test interfaces, bed-of-nails fixtures, loopback cards, and switching matrices for ICT, FCT, and System-Level Test (SLT)
  • Coverage Metric Validation: Map and maintain comprehensive test coverage matrices, linking structural diagnostic coverage to systemic product escape mitigations
  • Production Tuning & Analytics: Yield & GR&R; Optimization: Perform Gauge R&R; studies, stability analysis, and statistical limit tuning (SPC) to eradicate false-failures and optimize overall test sequence cycle times
  • Debug & Failure Analytics: Provide rapid deep-dive diagnostic support for initial prototype failures, cross-referencing diagnostic log outputs with SMT and box build history to identify systemic defects
  • Knowledge/Skills/Competencies: Software Fluency: Strong proficiency coding in Python, C/C++, Linux shell scripting, or LabVIEW within test automation environments
  • Knowledge/ Skills/Competencies: Hardware Fluency: Expertise operating oscilloscopes, spectrum analyzers, high-speed BERTs, and boundary scan tools (e.g., JTAG Provision, Corelis). Deep understanding of ICT/FCT/SLT platforms
  • Physical Demands: Duties of this position are performed in a manufacturing environment with frequent exposure to elements such as noise, dust, chemicals, operating machinery, temperature extremes, etc.
  • Duties of this position require periodic light physical effort and exertion including prolonged repetitive motion, standing, sitting in a confined work space, climbing, using equipment, handling lightweight materials, etc.
  • Duties of this position require periodic heavy manual effort and considerable exertion including lifting objects over 20 pounds, requiring straining, pulling and lifting.
  • Duties may require periodic sustained visual concentration on a computer monitor or on numbers and other detailed data.
  • May require occasional travel.
  • Educational requirements may vary by geography.
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Industrial Manufacturing Engineer

Delta Electronics (Americas)

Plano, TX 75075

$85,000/yr
~ 27 min OnsiteBilingual PreferredHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree in Industrial Engineering, Manufacturing Engineering, or related field.
  • 0-3 years of experience in Industrial Engineering, manufacturing, or production environment (internship experience is preferred).
  • Basic knowledge of manufacturing processes, line balancing, and productivity improvement.
  • Proficient in Microsoft Office applications, especially Excel and PowerPoint.
  • Basic AutoCAD skills and experience with factory/production line layout planning are preferred.
  • Basic understanding of ERP/MES systems is preferred.
  • Strong analytical and problem-solving skills.
  • Good communication and cross-functional collaboration skills.
  • Ability to work in a fast-paced manufacturing environment.
  • Flexibility to support different shifts and work schedules based on production demands.
  • Bilingual in English and Chinese is preferred.
  • Self-motivated with good time management and teamwork skills.
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Manager, AI Engineer

KPMG

Dallas, TX 75217

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
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New, Posted 6 hours ago
Junior Engineers Needed, Electrical, Mechanical, Quality & Project.

Synergy Infratech Power Systems

Wilmer, TX 75172

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Optics Manufacturing Engineer

RTX

Richardson, TX 75081

~ 18 min OnsiteFlexible ScheduleHealth InsurancePaid Time OffRetirement Benefit

  • U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.
  • Typically Requires a Bachelor's degree in Science, Technology, Engineering or Math (STEM) and a minimum of 2 years of prior relevant experience
  • Experience providing engineering support in a precision manufacturing environment, specifically working with high-precision CNC lathes, milling machines, and surface grinders
  • Hands-on expertise in operating and programming 3-axis and/or 5-axis CNC equipment using CAM software such as Mastercam or comparable platforms
SmartExplore AI is experimental.
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