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Sr. Software Engineer C++

3 weeks ago

Remote, Oregon, United States HumCap, Inc. Full time
HumCap's client is a market-leading global analytics software company, driving businesses in 200+ countries make better decisions. The company is hiring a senior software engineer (skilled in back-end/C++ development) to contribute to the software development of an analytic decisioning platform.  You will join a highly talented team of software engineers to create the next generation software platform. You will utilize your technical skills to build a high-volume low latency decisioning and analytics execution platform. This is a 100% remote position for any time zone in the US.

What You'll Contribute
  • Partner with product managers to understand priorities and usage scenarios of product features.
  • Collaborate with UI personnel to understand personas within usage scenarios.
  • Work with architects to drive the design for your software platform capability.
  • Assist research, case studies and prototypes on technologies to ensure the software platform remains the leading analytic decisioning platform.
 
What We're Seeking
  • Bachelor's/Master's degree in computer science or related discipline.
  • Highly skilled in designing, building, deploying, and operating commercial software that integrates sophisticated AI & ML stateful algorithms executing in low milliseconds.
  • Experience with commercial software that covers the entire lifecycle of intelligence execution, from authoring to execution to observing.
  • Proficient with integrating model development tools within AI & ML tools such as Jupyter and Sagemaker.
  • Experience building sophisticated runtimes in C++ that integrate various languages.
  • Ability to define and drive design transformation to an end state that is based on simplicity, modern software design patterns, open-source software, and the cloud.
  • Technical expertise across all deployment models on public cloud, private cloud, and on-premises infrastructure.
  • Experience with multiple public cloud technologies is a plus, e.g., AWS, Google, Azure.
  • Preferred experience using artificial intelligence and machine learning technologies.