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Associate Cloud Engineering

Dallas,TX

2155 Associate Cloud Engineering jobs in Dallas,TX

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Senior Associate, Google Cloud - GCP

KPMG

Dallas, TX 75217

OnsiteHealth InsuranceRetirement Benefit

  • Minimum three years of recent Google Cloud Platform (GCP) or equivalent cloud systems development experience
  • Bachelor's degree from an accredited college/university
  • Experience in designing cloud architectures and implementing production infrastructures and applications in one or more of the following cloud environments/technologies: GCP using infrastructure as code approach, experience in developing data and analytics platforms and applications on cloud is a plus and experience with cloud native container technologies such as Kubernetes, OpenShift, or Docker experience with Terraform, Ansible, Chef and Puppet is preferred
  • Basic software development skills/experience; scripting experience is preferred with a proficiency in Unix/Linux environments and ability to develop in terminal environments; experience with source code management systems like GIT and SVN and the ability to communicate technical concepts to non-technical team members
  • Strong understanding of networking, identity management, monitoring, logging, vulnerability management and concepts; depth of understanding with security concepts, protocols and configuration (authentication, authorization, encryption, PKI) with knowledge of IT operating models and processes and experience hardening infrastructures & systems and developing highly available & scalable systems is a plus
  • Ability to travel as required
  • 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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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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Director, AI, Data & Google Cloud

KPMG

Dallas, TX 75217

OnsiteHealth InsuranceRetirement Benefit

  • A minimum of 8 years in data analytics, AI/ML, and cloud technology, including leadership roles in consulting or technology organizations.
  • Google Cloud certifications (e.g., Professional Cloud Architect, Machine Learning Engineer) or equivalent are a plus.
  • Bachelor's Degree required with an advanced degree in Computer Science, Data Science, Engineering, or related field preferred.
  • Deep knowledge and hands-on experience with Google Cloud's AI ecosystem (including Agent Builder, Contact Center AI, and Dialogflow) 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 Google Cloud services (e.g., Vertex AI, Dialogflow CX), 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.
  • Travel as needed
  • Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future.
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AP Product Center Manufacturing Engineering Mgr - L5

Lockheed Martin Corporation

Grand Prairie, TX 75052

~ 28 min OnsiteFlexible ScheduleEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree in an associated discipline or equivalent combination of experience and education.
  • Manufacturing Engineering Experience
  • Prior experience in a leadership capacity
  • Experience with development programs & transitioning development programs to production
  • Experience in design for manufacturing / assembly or design to cost
  • Must be a U.S. Citizen and have the ability to obtain a security clearance
  • Ability to lead cross functional teams
  • Demonstrated effective communication skills including verbal, listening, technical writing and presentations
  • Demonstrated effective interpersonal skills, including team building, collaboration and developing enduring business relationships
  • Ability to liaison between LM Subcontractors, internal disciplines, and Production Operations
  • Ability to build positive relationships with the customers
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Engineer Intern

Curtiss-Wright

Grand Prairie, TX 75052

$18-$19/hr
~ 28 min Onsite

  • Mechanical Engineering or Manufacturing Engineering student in their 2nd, 3rd, or 4th year of studies
  • CAD Modeling Experience (ideally SolidWorks)
  • 3D Printing Experience (using Simplify3d software)
  • Design & Build Experience (i.e. Robot team, Catapult Team, HPVC Team, or personal projects)
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2027 Entry Level Manufacturing Engineer

Solar Turbines Incorporated

Desoto, TX 75115

~ 31 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Currently pursuing a B.S. or higher in Mechanical, Aerospace, Electrical, Industrial Engineering, or related degree.
  • 2.8 GPA or higher on a 4.0 scale.
  • Demonstrated ability to read and interpret engineering drawings, resolve complex problems, and make sound technical decisions.
  • 0-3 years of relevant experience.
  • This position requires working onsite five days a week.
  • Relocation is available for this position.
  • Visa Sponsorship is not available for this position.
  • Any offer of employment is conditioned upon the successful completion of a drug screen.
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Specialist, Software Engineering (Embedded)

L3Harris Technologies

Richardson, TX 75080

Bilingual Preferred
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Field Application Engineer (Power Sales)

Sager Electronics

Lewisville, TX 75067

$66,430-$110,760/yr
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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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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
SmartExplore AI is experimental.
View now
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