Solutions Architect

Robin Systems seeks an experienced Solutions Architect to:

  • Work directly with our customers and partners to architect, design, and deploy Big Data services utilizing Robin Containerization Platform, our application-centric data center infrastructure product.
  • Work as an integral part of the Robin sales team to provide technical consultation, demos, and proofs of concept (PoC) to prospects and customers to support sales goals.
Location: San Francisco Bay Area
  • End-to-end implementation of the Robin Containerization Platform product in customer projects and PoCs.
  • Work directly with customers to devise and recommend solutions based on Robin’s capabilities and customer’s requirements.
  • Analyze complex distributed production deployments, and make recommendations to maximize use of Robin Containerization Platform product.
  • Document and present complex architectures to customers’ technical teams.
  • Work closely with Robin’s engineering team to help ensure the success of customer engagements.
  • Participate in the pre-and post- sales process, helping both the sales and product teams to interpret customers’ requirements.
  • Keep current with the Big Data ecosystem technologies
  • Travel: Up to 20 percent
  • 5+ years of professional services (customer facing) experience architecting and implementing large-scale distributed systems.
  • 2+ years designing and deploying Big Data solutions as a solutions architect.
  • Ability to understand and translate customer requirements into technical requirements.
  • Familiar with processing data queries in the HDFS environment using tools such as Apache Hive.
  • Familiar with implementing MapReduce jobs as a solutions architect.
  • Experience setting up multi-node Hadoop clusters.
  • Experience implementing software solutions in enterprise scale Linux or Unix environments.
  • Understanding of network configuration, devices, protocols, speeds and optimizations.
  • Familiar with scripting tools such as bash shell scripts, Python and/or Perl.
  • Basic understanding of the Java ecosystem and enterprise offerings, including debugging and profiling tools, logging and monitoring tools, and security offerings.
  • Experience in writing to network-based APIs, such as REST/JSON or XML/SOAP.
  • Familiar with server virtualization technologies such as VMware.
  • Excellent verbal and written communications.
  • Experience in architecting data center solutions – properly selecting server and storage hardware based on performance, availability, and cost requirements.
  • Familiarity with Big Data use cases, and commonly used design patterns in Hadoop-based deployments.
  • Knowledge of data management concepts, such as data warehousing, ETL, and data integration.

About Robin Systems

Robin Systems is the first hyper-converged Kubernetes solution for big data, databases and AI/ML. Robin is the only solution that embeds application workflows natively into the storage, network, and cloud infrastructure stack. As a result, every application benefits from a simple managed the service-like experience, along with automated deployment and lifecycle management. Traditional hypervisor-based virtualization typically suffers from poor performance and complex and time-consuming application lifecycle management. With Robin, enterprises can bring their applications online much faster, at lower cost, and in any location (on-premise, or in the cloud). With a team that includes industry veterans from leading enterprise technology companies such as NetApp, Oracle, and Veritas, Robin Systems seeks to disrupt the $20 billion-plus virtualization market with its hyper-converged Kubernetes platform. The San Jose California-based company is backed by leading investors such as Clear VenturesDN CapitalUSAAHasso Plattner Ventures, and CloudScale Capital Partners.