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We do all this with an exceptional group of software engineers, data scientists, SRE/DevOps engineers, and managers. We are looking for a talented and dedicated senior engineer to join our team to bring passion for infrastructure and distributed systems to build world-class data platforms/products at a very large scale across cloud environments.
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We are looking for a skilled & experienced DevOps Engineer to join our AV Infrastructure & DevOps, focusing on critical automation tools and pipelines for our autonomous vehicle software stack.
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Looking for a highly skilled DevOps engineer who can design, deploy, improve, and automate global IT infrastructure and application solutions in both on-prem data centers and the cloud to meet the requirements of 20,000 internal customers and collaborate with IT partner teams to deliver cutting-edge infrastructure services helping to boost engineering and business productivities.
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Strong knowledge of DevOps tools and technologies, including automation tools, configuration management tools, and containerization technologies such as Jenkins, GitLab, Ansible, Kubernetes, etc.
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We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way.
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Develop Python tools to support data management, test automation, or robot calibration tools. We are looking for a DevOps Engineer passionate about automation and continuous improvement, to accelerate the development of the first humanoid robot that will be manufactured and deployed at scale.
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Experience with at least 3 of the technologies/tools mentioned here: HAProxy, Kafka, Big Data/ Hadoop, Presto, Spark, Airflow, Pinot, Druid, Opensearch, Gcp, Data Proc. Experience scaling production systems running Big Data tools like Spark, Hadoop, Apache Druid, Looker.
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Our vision is to drive agile transformation across financial services through public cloud technologies, SaaS and data science. We are an asset management technologist and we provide a fully managed cloud platform for hedge funds, with on-demand trading, research and corporate technology, as well as connectivity to market data providers, brokers, and exchanges.
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Total Talent Solutions, Workforce Solutions, Contingent Workforce Solutions, Outsourcing & Consulting, Tech Consulting Services, Independent Contractor Services, Software Engineering Solutions, Technology Staffing & Solutions, Customized Training and Talent Development, Project-Based Services, Cloud Enablement and Migration, IT/Software Development, UX Design, Data Science, Product & Program Management, Data Science, Quality Engineering, Big Data Services, Automation, and Telecom.
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Large-scale implementation and migration experience of Data Center to Cloud Infrastructure automation through DevOps scripting (Shell, Python, Ruby, Powershell) Large-scale implementation and migration experience of Data Center to Cloud Infrastructure automation through DevOps scripting (Shell, Python, Ruby, PowerShell.
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Hands-on experience with data ETL processes and tools, as well as web development frameworks – front-end (e.g. JS, React, Vue, Dash, Streamlit) and back-end services (e. Working closely with cross-functional teams, including software engineering, data science, and operations, our team plays a vital role in ensuring the seamless operation of our software development lifecycle.
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Familiarity with data services such as Elasticsearch, Redis, NiFi, MongoDB, MySQL, PostgreSQL, etc., is preferred. Big data platform, BDP team provides self-service data and application platforms to enable machine learning (ML) capabilities to engineering and data science community.
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Have good working experience in implementing Kubernetes in the Google Cloud platform (GCP) and migrating applications from the on-premise data center to cloud microservices across different Cloud platforms.
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As a DevOps Engineer for Data Engineering, you help build, deliver, and optimize software and infrastructure to enable a modern data engineering tech stack. 5+ years of experience in software engineering, including 3+ years in data engineering and DevOps roles.
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Our cloud infrastructure is home to a series of massive and complicated distributed systems and virtualization software platforms which enable big data processing around security services, sandboxing and malware detection, URL categorization and malicious site/domain identification, and security research/response.
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data job Title: devops engineer in Sunnyvale, CA
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