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Plant Reliability EngineerLocation: San Francisco, CA area Description:This opportunity is with a medium sized specialty chemical manufacturer located outside of San Francisco. Beyond base salary, the position offers a generous 10% annual bonus and a $10,000 cost-of-living allowance.
Starting at $10 - $10,000 a year depends on experience (bonuses)ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Beyond base salary, the position offers a generous 10% annual bonus and a $10, cost-of-living allowance. Your primary focus will be overseeing reliability and maintenance initiatives, including predictive and preventive programs, along with a variety of projects.
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The plant is PSM regulated, DCS controlled, with a very high standard of safety and overall housekeeping. You'll report directly to the Maintenance Manager, with comprehensive support from the Plant Manager, a Senior Engineer, an Operations Manager, and other technical personnel.
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You'll collaborate closely with all other departments on-site to drive continuous improvement and process optimization. The facility uses continuous operations to make products that go into the refining industry.
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Minimum 2+ years of experience in Cloud / Site Reliability Engineering, or a DevOps-related role. Understanding of cloud pricing models, cost allocation methodologies, and chargeback practices.
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Mercedes-Benz is recognized as the standard in high quality, reliability, luxury, and value. Provide the client with an accurate estimate of repair or maintenance cost, and/or a minimal diagnostic fee with explanation of associated cost, detailing problems and pertinent information, and secure client authorization of repair or service.
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The experienced plant team provides an ideal environment for your growth as an engineer, offering opportunities to unlock new skills. Millions have been invested in the plant and more upgrades are planned into the future.
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Design and build systems to improve the reliability, performance, and cost efficiency of data warehouse, including both compute and storage. We are using open source technologies like Hadoop, Spark, Trino, and Druid.
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About the RoleContribute to high impact AWS cloud infrastructure initiatives to improve the performance, reliability, and cost efficiency of Patreon’s rapidly growing platform. You have hands on experience implementing Site Reliability Engineering practices (SLIs, SLOs, SLAs) and like using metrics to make data based decisionsYou are knowledgeable in configuration management with a framework such as Terraform, Ansible, Chef, or Puppet.
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As a Hardware Reliability Engineer focused on Avionics at Zipline, you will apply your knowledge of electrical hardware systems at the board and system level along with reliability theory to meet safety, on-time delivery, and unit-cost objectives for our aircraft.
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The company is doing financially well and will continue to have steady business moving forward.
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Our team objectives revolve around reliability, cost-effectiveness, scalability, and velocity. The ML Compute Platform is part of Cruise s AI Foundation org and owns cloud-agnostic, reliable, and cost-efficient compute backend for the specific needs of Cruise AI. We enable high agility for building new features, supporting innovation, and optimizing for prioritized use cases that are relevant to Cruise AI/ML today, and in the future.
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The company is doing financially well and will continue to have steady business moving forward.
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Working knowledge with AWS Cloud including networking, computer and serverless with a solid understanding of networking, security, cost management and data storage principles. Leverage your expertise in cloud computing, distributed systems, and software engineering best practices to enhance the architecture, scalability, and reliability of our SaaS solutions.
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Databricks has created a new market category of the Data Lakehouse (), an open platform that unifies data warehousing, ELT, advanced analytics, and AI. The Lakehouse architecture addresses several major challenges, including data staleness, reliability, total cost of ownership, data lock-in, and limited use-case support.
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reliability cost jobs in San Francisco, CA
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