OmniSci, Inc

Our mission at OmniSci (formerly MapD) is to make analytics instant, powerful, and effortless for everyone. As the pioneer in GPU-accelerated analytics, we have redefined the limits of speed and scale in big data querying and visualization. OmniSci started as a radical idea at Harvard and MIT. Now, our platform is transforming the way enterprises and governments make decisions by allowing them to rapidly identify insights in data beyond the limits of mainstream analytics tools.

  
  


Since launching our product in 2016, OmniSci has been recognized as a Gartner Cool Vendor, a Top Ten Coolest Big Data Startups by CRN, and is experiencing explosive growth in users and customers. The company is backed by leading VCs and strategic investors, including NEA, Nvidia, GV (Google), In-Q-Tel, Tiger Global Management, Verizon Ventures and Vanedge Capital.

  
  


 **OVERVIEW:**

  


OmniSci is seeking a DevOps Engineer to add to its Engineering team.  As a DevOps Engineer, you will work closely with the DevOps team to maintain, optimize, develop, and secure the development and demo infrastructures.  You should have solid automation, security, and devops skills to bring to the table, as well as proven experience learning and implementing new technologies.   **Previous experience working with internal server hardware (installing/configuring actual servers or working with components inside the server, such as discs, memory cards, GPU cards, etc.) is critical.  ** You must have previous proven experience working on a public cloud platform (e.g. AWS, GCP, Azure, etc.).  Key to this role is being self-motivated and a self-starter, as well as a strong passion for system improvement and optimization.  

  


We're big fans of hiring people who are not just great at what they do but also how they do it. Critical to our culture is building and maintaining a team that works well together and knows how to communicate effectively - not just within their own team, but also across peripheral teams.  

  


Your success in this role will be predicated on your ability to prioritize your work, be self-motivated and a self-starter, to speak up early and often, and to work well with others. You should be passionate in your ability to understand that there are many different ways to solve a problem and drive to understanding design trade-offs, performance characteristics and building a product that is slated to revolutionize the world of data analytics across multiple industries. 

  
  


We're great at encouraging our people to learn different technologies, continue their professional growth, and try out new ways of doing things. We're in it for the long-haul, and you should be too.

  
  


Our office is located in downtown San Francisco, and this position will report to the VP Engineering. This is an individual contributor role, and will not manage other people.  This position is located in downtown San Francisco. Local candidates only, please. This is not a remote opportunity.

  


 **Responsibilities:**

  


  

  * Build management and automation for OmniSci's product components:  OmniSciDB, Render, and Immerse (browser-based visualization tool)
  

  * Manage infrastructure of GPU servers, both in-house and hosted
  

  * Support the OmniSci SaaS cloud initiative
  

  


 **Qualifications:**

  


  

  * BS or higher degree in Computer Science or equivalent industry experience
  

  * Minimum 3 years professional work experience doing relevant DevOps work
  

  * Previous experience with common Linux distributions (Centos, Ubuntu, Redhat, etc.)
  

  * Previous experience working with internal server hardware (installing/swapping GPU cards in servers at workstations) is strongly preferred
  

  * Strong interest and proven aptitude for exploring and implementing new technologies is critical
  

  * Previous experience working with a variety of the following technologies (at least one year of experience required): 
  

  


  

  * CI tools - Travis, Jenkins, Saltstack, GitHub
  

  * Scripting languages - Bash, Python
  

  * Cloud providers - AWS, Azure, GCP, Softlayer
  

  * Containers - Docker, Kubernetes, Mesos
  

  * Security & Networks - OpenVPN, FreeIPA, LDAP, Kerberos, pfSense
  

  * File systems - NFS, GlusterFS
  

  * Monitoring - Graylog, Prometheus
  

  * Hardware - Experience with infrastructure using CUDA a bonus
  

  * Familiarity with OSX and Windows useful
  

  * Previous experience working in an environment with compliance requirements (eg. SOC 2, ISO 27001, FEDRAMP)

gv google Jobs

2 months ago

OmniSci, Inc

DevOps Engineer

San Francisco