Senior Core Software Engineer

Life with Us  

Your Career: We’re very serious about professional development and continuing education. We offer everyone the opportunity to define their own career trajectory within our company leveling system. Our group has some amazing resources at its disposal specifically for this purpose. Your direct manager will carve out 1:1 time to make sure you set appropriate goals and design a plan to help you make consistent progress.  

We offer: 

• Dedicated professional development time, 

• Conference attendance, 

• Corporate partner, industry training, 

• Peer groups, 

• Paid certifications, 

• Education reimbursement, 

• Hackathons! 

• and much more... 

Day-to-day with your colleagues:  

• You'll be developing a software toolkit in Python, deployed on scaleable infrastructure, that will be used across Maxar to accelerate machine learning, data science, and research science workflows deployed to production. 

• Through collaboration with our Analytics Solutions, Development, and Foundational Data Science teams, you’ll only build software building blocks that are guaranteed to directly support user and mission critical workflows. 

• We work in very Lean Agile environment without the overhead associated with traditional Scrum. We’ve eliminated unnecessary development meetings and we love it!  

• You’ll collaborate with our geographically dispersed team primarily via Microsoft Teams.  

Requirements/Skills 

Our team’s minimum requirements for this position:  

• Must be a U.S. Person. 

• Strong Python skills! 

• Recent experience with some of the following technologies: 

• Cloud technologies like AWS or Azure, 

• Orchestration and deployment infrastructure like Kubernetes & Docker, 

• Database technologies and/or administration, 

• Object Oriented Programming methodologies, 

• GitHub, GitLab, BitBucket, or any other Git tools. 

• 5+ years of development experience.  

• Bachelor's degree in a related field, (e.g., Computer Science, Mechanical or Electrical Engineering, Systems Engineering, etc.), or equivalent experience. 

If you also had these skills that’d be amazing:  

• Understanding of Agile methodologies, specifically frequent, iterative releases which rely on user feedback to refine features over time, 

• Knowledge of Design Thinking principles, 

• Experience using machine learning development frameworks and machine learning operations technologies like: 

• PyTorch and/or Tensorflow, 

• Terraform with Helm, or other infrastructure-as-code tools, 

• Database technologies like: GraphQL, Feast, parquet, big query, redshift 

• Experience working with and engineering geospatial datasets.