571 Fa Engineer G Project jobs in Dallas,TX

Completion of an Associate degree, military technical training, field service experience, or trade certification
2-7 years of work experience in customer/field service support, or a related technical field
Ability to read and interpret electrical and mechanical schematics
Experience diagnosing and resolving basic technical challenges
Basic mechanical aptitude with pneumatics, hydraulics, electronics, vacuum, or thermodynamics
Familiarity with hand tools and their appropriate usage, including digital multimeters
Effective written and verbal communication skills
Basic knowledge of Microsoft Excel, Word, and PowerPoint
Possession of a valid driver's license and the ability to obtain a passport, if travel is required
Able to meet all on-site requirements, including safety, environmental guidelines, and COVID-19 protocols
Must have experience working in the semiconductor industry
Must be located and/or willing to relocate to service the Dallas-Richardson and Sherman Texas areas (40%).

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Cleared Software Engineer

Lockheed Martin

Fort Worth, TX 76102

Flexible Schedule

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Engineer/Sr Engineer, IT SOA Middleware

American Airlines

Fort Worth, TX 76101

~ 44 min OnsiteHealth InsuranceRetirement Benefit

Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent 3 years experience/training
Experience working in Apigee Edge, Microgateway and Developer Portal
Well-rounded technical background in:
O Apigee Edge and Microgateway
O Combination of Development, Administration and Support experience in several of the following tools/platforms required:
O Cloud-based development: Kubernetes and micro-services
O Web Services: REST (JSON/WSDL/XML)
O Frameworks: Python, FastAPI, Typescript, Node.js
O Front-end: Angular, React
O Build/deployment tools: Git, Jest, Yarn
O Scripting: Python, Unix, SQL
O CI/CD: GitHub, Azure DevOps
O Infrastructure as code (Docker, Kubernetes, Terraform, Ansible, Puppet)
O API development
O GitHub, and developing GitHub Actions
Well versed in SOA and RESTful services and consuming the services.
O Good understanding of Apigee Architecture
O Good experience in developing customized policies in Apigee
Implementing Enterprise security using BasicAuth, oAuth, SSL and certificates

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Principal Business Quality Analyst (BQA) -Salesforce Commerce Cloud eB2B

Keurig Dr Pepper

Frisco, TX 75033

Hybrid~ 29 minEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in related field (e.g., Computer Engineering, Information Systems, etc.) or equivalent combination of education and work experience.
Typically, 8+ years of experience in business analysis, quality assurance, or a hybrid BQAtype role supporting enterprise platforms
5+ years of DSD industry and Tell sell experience preferred.
Demonstrated handson experience with digital commerce, ordering, or customerfacing platforms (eCommerce, eB2B, tell sales, portals, or sales ordering systems)
Experience working with Salesforce platforms, preferably Commerce Cloud, B2B Commerce, or integrated eB2B solutions
Proven ability to translate business requirements into clear, testable acceptance criteria
Strong communication skills with the ability to collaborate effectively with Product, Engineering, QA, and business stakeholders
Ability to identify gaps, risks, and edge cases early to protect solution quality and business outcomes
Should have strong analytical, critical thinking, process modeling and decision making skills
Native-level proficiency/fluent in English.
Experience validating end-to-end order-to-cash or order lifecycle flows across integrated systems
Experience working in DevOps and Agile technology environments. (preferred)
Collaborate and share lessons learned regarding performance and reliability issues with all stakeholders including developers, other SREs, operations teams, and project management teams.
Salesforce Commerce Cloud, OCM or related Salesforce certification preferred

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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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