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Engineer Observability

Los Angeles,CA

1199 Engineer Observability jobs in Los Angeles,CA

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Manager, AI Engineer

KPMG

Los Angeles, CA 90020

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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Cyber System Security Engineer

ManTech

El Segundo, CA 90245

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Manager, Infrastructure Project Advisory (Construction/Engineering)

KPMG

Los Angeles, CA 90008

OnsiteHealth InsuranceRetirement Benefit

  • Minimum five years of recent experience in construction management or construction advisory services with increasing roles and responsibilities in major power and utilities, oil and gas, infrastructure, manufacturing, healthcare, or public sector projects
  • Bachelor's degree in Engineering, Architecture, Building Science, Construction Management, Accounting, or a related field is required
  • 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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Manufacturing Engineer II

Ducommun

Carson, CA 90745

~ 20 min Onsite

  • Bachelor of Science degree in Mechanical, Industrial, or Manufacturing Engineering or RelatedEngineering Field.
  • 3-5 years experience in a production environment, preferably with electromechanical, aerospace, and industrial applications.
  • Working understanding of 6-Sigma and Lean Manufacturing concepts.
  • Experience leading cross functional teams on projects.
  • Professional knowledge of manufacturing and assembly processes together with work measurement and work standards.
  • Ability to read and interpret engineering drawings.
  • CAD/CAM software experience (Solidworks, Mastercam, etc.).
  • Working knowledge at an intermediate level of computer skills in e-mail, Word, Excel, PowerPoint, and Visio.
  • Excellent verbal and written communication skills.
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Manufacturing Engineer

CEMCO1

La Puente, CA 91746

~ 30 min Onsite

  • Bachelor of Science degree in Mechanical Engineering or Electrical Engineering
  • 5+ years of experience in a manufacturing environment
  • Lean Six Sigma (Green/Black Belt)
  • GD&T; (ASME Y14.5) training/certification
  • SolidWorks (CSWA/CSWP) certification are a plus
  • Strong verbal and written communication skills
  • Ability to read, create, and interpret engineering drawings and specifications
  • Proficient in Microsoft Word, Excel, and PowerPoint
  • Working knowledge of SolidWorks (or equivalent 3D CAD) for parts/assemblies and production drawings
  • Familiarity with manufacturing systems/ERP for routings, work orders, and part master data
  • Ability to analyze and summarize production/quality data using Excel (e.g., pivot tables and charts)
  • Ability to troubleshoot equipment and process issues using structured problem-solving and root cause analysis (e.g., 5-Why, fishbone)
  • Ability to evaluate risk and manufacturability considerations and support corrective/preventive actions
  • Ability to prioritize work, make sound recommendations, and support implementation in a fast-paced manufacturing environment
  • Strong organizational and time-management skills with the ability to manage multiple priorities
  • Effective cross-functional teamwork and shop-floor engagement
  • Attention to detail and commitment to safety, quality, and continuous improvement
  • Ability to maintain accurate engineering documentation and follow established procedures
  • Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions
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NPI Manufacturing Engineer III

Integrated Polymer Solutions

Long Beach, CA 90808

~ 29 min OnsiteHealth InsuranceRetirement Benefit

  • Bachelor's degree in Engineering, preferably Mechanical Engineering, Manufacturing Engineering, Aerospace Engineering, Chemical Engineering, Materials Engineering, or a related technical field.
  • Minimum of 5 years of relevant manufacturing engineering, NPI engineering, process engineering, or related technical experience.
  • Demonstrated experience supporting new product introduction, production launch, manufacturing process development, or process improvement in a manufacturing environment.
  • Experience developing manufacturing methods, process documentation, production controls, tooling concepts, or production readiness deliverables.
  • Experience in aerospace, defense, rubber manufacturing, polymer manufacturing, or high-mix / low-volume manufacturing is preferred.
  • Knowledge of manufacturing engineering principles and new product introduction processes.
  • Knowledge of rubber manufacturing principles and processes such as compression molding, transfer molding, extrusion, injection molding, bonding, coating, and tool design.
  • Ability to define manufacturing process sequences, process controls, labor standards, equipment needs, tooling requirements, and production readiness requirements.
  • CAD experience sufficient to support fixtures, jigs, layouts, tooling concepts, and manufacturing aids.
  • Working knowledge of GD&T;, drawing interpretation, mechanical testing, process validation, and inspection support requirements.
  • Experience supporting DFMEA, PFMEA, root cause analysis, corrective action, and manufacturing risk reduction activities.
  • Working knowledge of QMS procedures, phase gate deliverables, controlled forms, BOMs, routers, work instructions, ERP/MRP systems, and Microsoft Office.
  • Ability to evaluate manufacturing issues using practical problem-solving, data analysis, technical reasoning, and cross-functional input.
  • Working knowledge of design for rubber manufacturability, tooling support, process engineering, manufacturing documentation, project execution, and production launch.
  • Working knowledge across applicable support disciplines, which may include quoting and estimating, additive manufacturing, tooling design, project management, material science, automation, priming and bonding, coatings and painting, material preparation, kitting, or manufacturing coordination.
  • Ability to apply product and process knowledge to improve manufacturability, process stability, launch readiness, cost, and quality.
  • Strong analytical, technical, and practical problem-solving skills.
  • Strong written, verbal, and technical communication skills.
  • Ability to support technical efforts and work effectively with cross-functional teams.
  • Strong organizational and project execution skills.
  • Ability to manage multiple priorities in a high-mix, low-volume manufacturing environment.
  • Ability to drive assigned tasks to completion with limited supervision.
  • Strong attention to detail in manufacturing documentation, process planning, technical reviews, and production readiness activities.
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Senior Associate, Manufacturing Engineer

L3 Harris

Los Angeles, CA 90011

OnsiteBilingual PreferredEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's Degree
  • A minimum of 2 years of prior related experience
  • Graduate Degree or equivalent with 0 to 2 years of prior related experience
  • In lieu of a degree, minimum of 6 years of prior related experience
  • Ability to obtain US Secret Security Clearance
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New, Posted 1 day ago
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Senior Manager, Data Engineering - Santa Monica, 90404

Universal Music Group

Santa Monica, CA 90404

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Integration & Assembly Manufacturing Engineer- Level 4

Lockheed Martin Corporation

Palmdale, CA 93550

~ 1 hr 10 min OnsiteFlexible ScheduleEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Ability to obtain Secret clearance within 8 months of submission and gain special-program access within 3 months of submission
  • Hardware fabrication, assembly and/or integration / installation first-hand support
  • Manufacturing-assembly work-instruction authoring
  • Experience creating content using manufacturing and engineering and manufacturing software systems such as: iBASEt (Solumina), 3DX / CATIA V5
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Principal Systems Engineer (ONSITE)

RTX

El Segundo, CA 90245

Visa Sponsorship Available

~ 23 min OnsiteFlexible ScheduleEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance
  • Security Clearance Type: Secret - Current
  • Security Clearance Status: Active and existing security clearance required on day 1
  • Working knowledge of Model-Based Systems Engineering (MBSE)
  • Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and minimum 8 years prior relevant experience or an Advanced Degree in a related field and minimum 5 years of experience
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