Software Engineer

Palmer Consulting Firm

  • Aurora, Colorado
  • 1 day ago

    Highlights

    This position produces scalable software, driving business growth and dramatically increasing the productivity of our technical, business, and customer-facing teams. The Software Engineer supports a multi-disciplinary team and leads efforts to expand the capabilities of the company's cloud-based predictive analytics platform.

    Numbers & Facts

    LocationAurora, Colorado
    Websitehttps://palmerconsultingfirm.com

    Description

    The Software Engineer supports a multi-disciplinary team and leads efforts to expand the capabilities of the company's cloud-based predictive analytics platform. This position produces scalable software, driving business growth and dramatically increasing the productivity of our technical, business, and customer-facing teams. The Software Engineer will be working directly on new features of our DigitalClone software and will be exposed to utilizing best practices to achieve business goals.

     

    Responsibilities:

    • Collaborating with different teams engineers to implement solutions that align with and heighten the DigitalClone Platform and solutions
    • Building software components and tools to support and expand the platform capabilities
    • Enhancing applications by identifying opportunities for improvement, making recommendations, and designing and implementing systems
    • Maintaining and improving existing codebases and peer review code changes
    • Assisting with process optimization
    • Develop automated build and deployment pipelines for your services
    • Participating in post-implementation and system maintenance support
    • Develop/integrate leading-edge tools and frameworks to build and deploy scalable and efficient machine learning solutions

     

    Minimum Experience and Qualifications:

    • Proficiency in working with a modern programming language (e.g. Javascript or Python)
    • Proven expertise in developing cloud-based, scalable software applications and services
    • Experience deploying production applications to a public cloud (bonus points for AWS)
    • Experience with cloud environments, serverless architecture, SQL/NoSQL databases, containers (Docker)
    • Knowledgeable in developing and consuming APIs and micro-services to facilitate data access, business logic, and workflows
    • Experience building and deploying end-to-end systems using either in-house infrastructure or cloud ML environments e.g. SageMaker
    • Experience setting up and optimizing DBs for production usage for ML systems
    • US persons (citizens or green card holders) only. 

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