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We’re looking for a highly talented Senior DevOps Engineer to join our dynamic team and play a significant role in developing a big data cloud system. Cognata is at the forefront of the explosive growth of the autonomous vehicle industry – fusing Deep Neural Networks, Big Data algorithms, and 3D simulation/mapping to succeed in a massive undertaking – supporting the full product life cycle of developing Autonomous Vehicles, to be rolled out in the real world, after being rigorously tested in billions of miles of simulated driving.
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The ideal candidates should have a strong background in setting up and supporting the infrastructure for large scale big data applications in public cloud like AWS. The main responsibilities for this position include: Build & Support CI/CD tools to port & manage applications on AWS & Kubernetes Ability to understand the application requirements (Performance, Security, Scalability etc.
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GliaCell’s Enterprise capabilities include Full-Stack Application Development, Big Data, Cloud Technologies, Analytics, Machine Learning, AI, and DevOps Containerization. Seeking a DevOps engineer with an understanding of concepts even at the board level, be willing to jump in and take over operations-type work, diagnosing Kubernetes issues, diagnosing CI/CD issues, diagnosing application issues, assisting customers with their deployment troubleshooting.
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The ideal candidate will have strong working knowledge in Linux systems administration, and a background in Big Data solutions, configuration management, automation, scripting, and AWS. The DevOps Engineer will be responsible for implementing infrastructure, automating deployment processes, and ensuring the reliability and scalability of our services.
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Experience with big data technologies such as Apache Hadoop and Apache Spark and NoSQL databases such as MongoDB are a plusExperience with containers and Kubernetes are a plus. We are seeking a highly motivated and experienced DevOps Engineer to join our fast-paced development team.
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Our technical competencies include Big Data analytics (batch and streaming), Cloud Computing infrastructure, multi-INT visualization, and enterprise architectures. We have an immediate opening for a DevOps engineer that is interested in working on a mature, production environment focused, CI/CD Operational team.
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Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class.
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We are seeking DevOps Engineers who are passionate about marrying data with emerging technologies to join our team. West Creek 2 (12072), United States of America, Richmond, VirginiaSenior Software Engineer, DevOps (Remote-Eligible)The Card CTO & Premium Products, Marketing, and Experiences (PPMX) Tech team delivers experiences for both our customers and our associates across Card Tech. The four Horizontals represented by CTO and three Verticals represented by PPMX focus on creating real-time, intelligent experiences for our customers.
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Experience with big data and NoSQL infrastructure to include Hadoop, MongoDB and Redis. Knowledge of data center and cloud-connected infrastructure: servers, routers, NAS/SAN systems, load balancers, server and desktop virtualization, and cloud computing.
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As the global leader in experience-centric operational analytics, Conviva has redefined big data analytics with our paradigm-shifting Time-State Analytics model. As a DevOps Engineer, you'll play a pivotal role in collaborating with development teams to build and enhance cloud environments across diverse platforms and data centers.
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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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Strong understanding of technology trends - Software, Cloud, Digital, Big Data, Analytics, Low-code, Legacy Modernization, DevOps, Agile, Automation. DevOps Solutions Engineer Requirements.
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Nor will Cloud Big Data Technologies require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.
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Configuring and managing big data technologies / databases and understanding of various approaches to data storage and indexing is an asset. Role: DevOps Engineer. Understanding of critical concepts in DevOps (CI, CD, CM, IaC etc) and Agile principles.
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Experience with big data technologies- Hadoop, Spark. Our client is a certified woman owned small business established in 2015 in San Antonio, TX. They specialize in cyber security operations and engineering, software development, data science and analytic development, security engineering, risk management, and cloud migration.
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big data jobs Title: devops engineer
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