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Senior Platform/Cloud Engineer

Company: Quantiphi
Location: Orlando
Posted on: December 5, 2019

Job Description:

Role: Senior Platform/Cloud Engineer Experience Level: 8+ Years
Work location: Orlando, FL(Option of 25-30% remote) Employment Mode: Full Time/ Permanent

Primary Responsibility:

  • Deploy and Manage very large-scale, highly-available Hadoop infrastructure supporting many-terabytes of data and growing very rapidly.
  • Handle design, architecture, instrumentation, and operations of a massive data platform.
  • Deploy and manage AWS or GCP based services and infrastructure.
  • Work closely with data scientists to deploy highly scalable inferencing services using ML and CV models on GPU-enabled clusters / Kubernetes
  • Develop scalable CI/CD pipelines for deploying Machine Learning and Computer Vision Models
  • Develop, Deploy and Manage highly scalable services for data ingest and real-time data pipelines for video feeds
  • Implement, troubleshoots, and optimizes distributed solutions based on modern big data technologies like Hive, Hadoop, Spark, Elastic Search, Kafka, etc. to solve large scale processing problems in a Cloud cluster environment.
  • Solve challenging operational problems across broad range operations and services.
  • Lead innovation by exploring, investigating, instrumenting, recommending, benchmarking and implementing data-centric technology solutions for the platform
  • Develop processes, optimization methods, and risk management strategies
  • Day-to-day operational support
    Basic Qualification:
    • 6 to 12 years of progressively related experience in Systems Engineering and/or software development.
    • 1 to 3 years of project or team lead experience.
    • BS or MS in Computer Science, Information Technology, or similar field or related work experience
    • Production experience with Dev Ops Tools like Terraform, Packer, Chef, Docker, Puppet
    • Experienced in ML Ops
    • Deploying deep learning models on GPU-enabled Kubernetes clusters
    • RHEL, Ubuntu, Centos, SUSE Linux configuration, deployment, and troubleshooting
    • Experience in creating IaaS and PaaS with Data Security, Availability, Resiliency along strong monitoring through an operational mindset.
    • Knowledge and Experience troubleshooting Load Balancers, Network configuration, Firewalls to help collaborate with other Systems and Network Engineering Teams for Data Management Platforms
    • Big Data Hadoop technologies (HDFS, HBase, ElasticSearch/Solr, Spark, NIFI, Hive, Kerberos, Druid, Hue, ORC, Kafka, Redis)
    • Experience working on any public cloud provider - AWS, Azure, Google Cloud
    • Database knowledge of SQL (Oracle, SQL, MariaDB) and NoSQL (DynamoDB, HBase)
    • Understanding of REST, microservices with Multi-cloud distributed architecture, support, and planning utilizing enterprise Java, Python
    • Demonstrated interest and ability to quickly learn new technologies and put them into production.
    • Natural influencer, and selfless team player, willing to help your team achieve great things
    • Excellent problem-solving skills; proven technical leadership and communication skills
    • Willingness to participate in a 24x7 on-call rotation for escalation
    • Have a quality mindset, squash bugs with a passion, while working hard to prevent them in the first place through unit testing, test-driven development, version control, continuous integration, and deployment.
      Nice to haves:
      • AWS Certifications, Google Certifications, Azure Certifications
      • Contribution to open-source projects

Keywords: Quantiphi, Orlando , Senior Platform/Cloud Engineer, Engineering , Orlando, Florida

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