Senior Software Engineer

EngineeringFull TimeToronto, ON

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Who we are

Harvard born and Y-Combinator backed, we’re on a mission to transform the global energy industry. Our team comes from different places and brings different talents to the table, but we’re all here for the same reason: to solve complex challenges and make a profound impact with some of the brightest and kindest people we know.

What problem are we solving

The $40-trillion global trade of oil and gas relies on opaque product data, resulting in large economic losses and environmental waste. We bridge human and artificial intelligence to provide real-time intelligence and predictive insights that bring efficiency to the industry.

Our Stack

Some of the technologies that we use:

  • Elixir and Phoenix
  • React for our front-end applications
  • PostgreSQL + PostGIS, Redis
  • GraphQL
  • Python for scientific computing and machine learning
  • AWS, Docker, Terraform, CircleCI, Github Actions

You will

  • Design highly performant and fault tolerant backend services
  • Design systems that represent the real-world intricacies of physical commodities.
  • Build and launch products rapidly and incrementally. We ship to production dozens of times per day.
  • Ingest high volume streaming data from a variety of disparate sources


  • 5+ years of experience writing software, and a strong engineering background.
  • Strong knowledge of algorithms and data structures
  • A deep understanding of SQL
  • A love of simple, well-tested code
  • Experience working in a fast-paced environment ideally at a start-up or rapidly growing company
  • Understanding of how technical decisions impact the people who will use what you're building.
  • Ability to work effectively in teams of technical and non-technical individuals.

Nice to Haves

  • You are experienced with functional programming (Erlang, Elixir, Haskell, etc)
  • You’ve worked with Node.js.
  • You’ve worked with data at scale.
  • You've worked with Docker
  • You've worked with AWS and Terraform
  • You have some experience with TensorFlow, Keras, PyTorch, Spark, SciKit Learn, or other libraries related to machine learning, signal processing and data visualization.