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Software Engineer, Cloud Engineer - Software, Full Stack Developer

Job in Aurora, Arapahoe County, Colorado, 80012, USA
Listing for: Palmer Consulting Firm
Full Time position
Listed on 2026-01-12
Job specializations:
  • Software Development
    Cloud Engineer - Software, Software Engineer, Full Stack Developer, AI Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

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 Digital Clone 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 Digital Clone 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:
  • 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/No

    SQL 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. Sage Maker
  • Experience setting up and optimizing DBs for production usage for ML systems
  • US persons (citizens or green card holders) only.
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