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Storage Engineer

San Francisco,CA

2544 Storage Engineer jobs in San Francisco,CA

New, Posted 14 hours ago
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Storage Platform Engineer

PG&E Corporation

Oakland, CA 94612

Hybrid~ 23 min

  • Bachelor's degree in computer science, job-related discipline, or equivalent experience.
  • 2 years of hands-on experience in infrastructure, systems administration, cloud operations, or related Information Technology functions.
  • 1 year of experience supporting cloud technologies, cloud services, infrastructure automation, or cloud-based operating environments.
  • AWS Certified Data Engineer or Azure Data Engineer or equivalent cloud platform certification
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RecruitMilitary
Field Service Technician

RecruitMilitary Placement Services

San Francisco, CA

$30-$38/hr
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Assembly Mechanic

Rheinmetall

Brisbane, CA 94005

~ 16 min Onsite

  • Certificate III in Heavy Diesel / Light Vehicle or Mechanical Engineering or equivalent
  • Ability to read and interpret production drawings, manuals, and technical documents
  • A high level of self-motivation, initiative, the ability to work unsupervised and willingness to participate and contribute as part of a team
  • The ability to travel interstate or overseas for short training periods (infrequent)
  • Eligibility to obtain an Australian Government Security Clearance (Australian Citizenship required)
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CNC Machinist

Ametek

San Pablo, CA 94806

~ 32 min OnsitePaid Time OffRetirement Benefit

  • HS Diploma or equivalent
  • 6+ years demonstrated CNC Machining experience/competency
  • Experience in optics or ultra-precision manufacturing is strongly preferred
  • Advanced math skills, including trigonometry and tolerance stack-up with ability to apply to complex setups, with ability to read and interpret drawings, specifications, and GD&T.
  • Strong mechanical aptitude with demonstrated ability to troubleshoot equipment/process issues and drive to resolution.
  • Proficiency with Fanuc and/or Siemens controls; able to edit programs at the control and support program prove-out; basic knowledge of GIBBS and/or Mastercam.
  • Working knowledge of lean manufacturing practices with a strong commitment to safety and quality.
  • Highly organized and detail oriented with strong ownership, accountability, and follow-through
  • Strong computer skills: ability to use manufacturing systems (e.g., ERP/MRP) and CAM/viewer tools as required.
  • Collaborative team player with a focus on problem-solving and ability to communicate with, influence and mentor others.
  • Driven to achieve with the ability to take initiative, be resilient and flexible with shifting priorities.
  • Capable to lift and move up to 70 lbs. and standing for extended periods of time
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MGR II MANUFACTURING ENGINEERING

TE Connectivity

Redwood City, CA 94061

~ 33 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree in Engineering required
  • Minimum of 8-12 years of progressive manufacturing engineering experience
  • Minimum of 5 years leading engineering teams in a manufacturing environment
  • Demonstrated experience in manufacturing process development, process validation, automation, equipment design, and industrialization
  • Strong knowledge of Lean Manufacturing, Six Sigma, statistical analysis, and structured problem-solving methodologies
  • Proven experience leading capital projects, equipment implementation, and capacity expansion initiatives
  • Strong project management, prioritization, and resource planning skills
  • Excellent leadership, coaching, and cross-functional collaboration abilities
  • Strong analytical and data-driven decision-making skills
  • Six Sigma Green Belt required; Black Belt preferred
  • Experience with PFMEA, Control Plans, Process Validation, SPC, DOE, and process capability analysis
  • Excellent verbal and written communication skills in English
  • Must be eligible to work under ITAR (International Traffic in Arms Regulations) compliance
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Maritime Engineering SME

QinetiQ

Novato, CA 94947

~ 40 min Onsite

  • Bachelor's degree in Systems Engineering, Mechanical Engineering, Electrical Engineering, Naval Architecture, Marine Engineering, or a related technical discipline.
  • 9+ years of experience supporting U.S. Navy programs.
  • Extensive experience designing, developing and fielding Navy manned and unmanned surface and underwater systems.
  • Secret Clearance Required #qinetiqclearedjob
  • Demonstrated expertise in systems engineering principles and processes.
  • Experience with shipboard systems integration, modernization, or life-cycle sustainment.
  • Ability to interpret engineering drawings, technical specifications, interface control documents, and systems documentation.
  • Experience supporting engineering reviews, requirements analysis, and technical risk management.
  • Strong technical writing, presentation, and communication skills.
  • Ability to work effectively in multidisciplinary teams and customer-facing environments.
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Manager, AI Engineer

KPMG

San Francisco, CA 94112

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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Founding Full Stack Engineer

Aonic

San Francisco, CA 94111

Onsite

  • Shipped a consumer product
  • Proven full-stack ability in production. Native in TypeScript/React, node/python + track record of shipping fast and reliable code with AI tools
  • Degree from a top-tier university in engineering, science, math, or a related field, or the equivalent in shipped work
  • Extremely hungry and ambitious
  • Strong work ethic and intensity, comfortable operating in an environment that works 8–7 on Monday to Thursday and 8-5 on Fridays
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Culinary Agents
Prepared Foods Dishwasher - Part Time Seasonal

Whole Foods

San Francisco, CA 94109

$20-$29.73/hr
No ExperienceFlexible Schedule
New, Posted 1 hour ago
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Maintenance Technician II

Sares-Regis Group

San Francisco, CA 94112

$30-$33/hr
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