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Data Integration Developer at Univa
Toronto, Ontario, CA

What is your first thought when reading terms such as Super Scale, High Performance/Throughput, Cloud, Containers or GPUs?  Do you view these as interesting challenges?  If so, then Univa’s Data Integration Developer opportunity might be right up your alley.

Univa is currently seeking a Data Integration Developer in our Product Engineering team to design and develop methods to provide valuable insights into our customers large scale hybrid compute clusters.  The role offers the opportunity to contribute to the architecture of a major component of our Navops Launch product incorporating data from both Univa developed data sources and external APIs.  You will work with an experienced team that has a track record of delivering business critical software solutions to some of the largest companies in the world.

You will be given the opportunity to make an impact on the industry.  Univa/Linux know-how is a must while knowledge of AWS, Azure, and Google Cloud Platform is highly desirable.

Key Responsibilities 

  • Work with Product Management, Support, Sales Engineering and customers to understand product requirements and design and implement suitable solutions
  • Own a functional area of the architecture and working with a team to integrate it into a successful product
  • Integrate with Univa or 3rd party products and datasources
  • Ensure quality and scalability of the functional area
  • Develop robust schedules and deliverables on time
  • Conduct product knowledge transfers to Support and Sales Engineering
  • Provide backline assistance for critical customer escalations

Education and Experience Qualifications

  • Bachelor’s degree or equivalent in Computer Science, Engineering or a related discipline with 3+ Years of relevant product engineering experience mainly using Python
  • Project experience in a development team using Agile development processes
  • Proven ability to meet timelines and deliver quality products
  • Excellent Linux/Unix knowledge including thorough understanding of at least bash and ideally other scripting languages
  • Solid knowledge of source code control systems such as git or svn
  • Proven problem solver and solid written/verbal communication skills
  • Ability to work as an individual contributor as well as team engagements
  • Experience with the AWS, GCP, or Azure API specifically around reporting, monitoring, or data extraction would be a strong advantage
  • Knowledge of programming languages such a Python, JavaScript, or Golang would be a strong advantage
  • Having practical experience in development projects with Docker, Vagrant or other related technologies would be a bonus
  • Knowledge of distributed systems such as Grid Engine, LSF, Symphony, Docker Swarm, Mesos or Kubernetes would be an advantage