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Devops

Bellevue,WA

824 Devops jobs in Bellevue,WA

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Call Center Manager

Seatown

Mukilteo, WA 98275

~ 34 min OnsiteHealth InsuranceRetirement Benefit

  • Experience managing a **$20M+ call center operation**
  • Background in **dispatch, customer service, and install coordination** in the trades
  • Experience in **at least two** of the following: HVAC, electrical, plumbing, sewer _(or large single-trade call center experience)_
  • Proven leadership of **15–20+ person teams**
  • Strong reporting and performance management skills
  • Experience with **ServiceTitan** and Microsoft Office
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Entry Level Application Development Opportunity

Year Up United

Seattle, WA 98127

$525/wk
~ 18 min Onsite

  • A high school graduate or GED recipient
  • Eligible to work in the U. S.
  • Available Monday-Friday throughout the duration of the program
  • Have not obtained a Bachelor
  • You may be required to answer additional screening questions when applying
  • During the internship phase, Year Up United students earn an educational stipend of $525 per week
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Software Engineer - Security Framework

Apple, Inc.

Seattle, WA 98194

Bilingual Preferred
Engineering Manager-Technical Product Owner

PwC

Seattle, WA 98194

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Principal Software Engineer, Ads Platform

Snap

Bellevue, WA 98005

$276,000-$414,000/yr
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Quality Manager

VRC Engineered Solutions

Woodinville, WA 98072

Requires TravelEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Strong working knowledge of ISO9001, ISO13485 and/or AS9100 quality systems.
  • Expertise in statistical methods and statistical process control (SPC).
  • Strong knowledge of measurement systems, inspection techniques, and quality tools (e.g., PFMEA, control plans, root cause analysis).
  • Excellent written and verbal communication skills.
  • Strong analytical and problem-solving abilities.
  • Proficiency in Microsoft Office (Word, Excel, Outlook);
  • Regularly required to sit, stand, walk, use hands, reach, and occasionally climb or balance.
  • Must be able to lift, push, or pull up to 25 lbs.
  • Frequently exposed to manufacturing environments, including fumes, airborne particles, and moderate to loud noise levels.
  • Occasional exposure to outdoor conditions when traveling between facilities.
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Sr Principal Software Engineering - Enterprise Technology

Blue Origin

Seattle, WA 98101

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Senior Applied Scientist, Linear Personalization Experience Team (LPEX)

Amazon.com Services LLC

Seattle, WA 98127

Urgently Hiring
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Multi-Site Maintenance Manager

Bozzuto

Redmond, WA 98052

~ 12 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • An education in the trades and 7+ years of experience in facilities and/or residential building maintenance
  • 3+ years of supervisory experience and a track record of hiring, developing and retaining high performing teams
  • An HVAC, EPA and/or NAPE certification
  • Knowledge of risk management, OSHA and MSDS
  • Advanced level of skill in HVAC, plumbing, electrical and appliance repair
  • Basic carpentry, drywall and painting skills
  • Exposure to complex mechanical systems such as central plant, split systems, boilers and chillers
  • A safety mindset and an eye for detail
  • A builder's mentality (know it like you built it!)
  • Excellent communication skills, both written and verbal
  • A sharp professional appearance
  • Intermediate proficiency with the Microsoft Office suite and comfort using various technology platforms, apps and computer programs
  • Availability for emergency situations at the property, including an on-call rotation
  • The ability to exert 25 to 50 pounds of force frequently, and/or 10 to 20 pounds of force constantly, climb stairs, use ladders and work in varying weather conditions
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Principal Data Scientist

Weyerhaeuser

Seattle, WA 98164

~ 18 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • 10+ years of experience developing and deploying machine learning and AI solutions.
  • Strong software engineering skills in Python and modern ML frameworks.
  • Deep expertise in supervised learing, forecasting, optimization, statistical modeling, anomaly detection, model evaluation and experimentation methodologies.
  • Demonstrated success delivering enterprise-scale AI products from concept through production.
  • Experience leading highly ambiguous technical initiatives.
  • Proven ability to influence technical strategy across multiple teams and organizations.
  • Experience with experimentation and causal inference methods, including A/B testing, quasi-experimental designs, and counterfactual analysis.
  • Experience communicating insights using Power BI or Python-based visualization libraries such as Plotly and Matplotlib.
  • Experience with modern cloud platforms and data architectures, including AWS, Azure, Snowflake, and MLOps, CI/CD, and model lifecycle management.
  • PhD in Computer Science, Statistics, Machine Learning, Operations Research, Applied Mathematics, or related quantitative discipline; or Master's degree with equivalent industry experience.
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