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Software Engineer, Full Stack

Job in Greenwood Village, Arapahoe County, Colorado, USA
Listing for: CoBank
Full Time position
Listed on 2026-07-06
Job specializations:
  • Software Development
    Full Stack Developer, Software Engineer, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 100000 - 123000 USD Yearly USD 100000.00 123000.00 YEAR
Job Description & How to Apply Below

Benefits Overview

A career at CoBank can offer you the opportunity to make a personal impact on the people and communities where we do business. In order to be the best, we hire the best!

Benefits Offered by Co Bank

  • Careers with a purpose
  • Time-Off Packages, 15 days of vacation, 10 paid sick days and 11 paid holidays
  • Competitive Compensation & Incentive
  • Hybrid work model: flexible arrangements for most positions
  • Benefits Packages, including Medical, Dental and Vision coverage, Disability, AD&D, and Life Insurance
  • Robust associate training and development with CoBank University
  • Tuition reimbursement for higher education
  • Outstanding 401k: up to 6% matching and additional 3% non-elective contribution & Student Loan Match
  • Community Impact:
    United Way Angel Day, Volunteer Day and Associate Directed Contribution
  • Associate Resource Groups: creating a culture of respect and inclusion
  • Recognize a fellow associate through our GEM awards
Job Description

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At CoBank, you will be part of an innovative technology environment and meet real farm credit customer needs. The Software Engineer, Full Stack will collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies.

Share your passion for staying on top of technology trends and experimenting with and learning new technologies.

Essential Functions
  • Engineers solutions, testing, monitoring and observability
  • Collaborates with product managers, cross functional teams, and deliver robust cloud-based solutions
  • Utilizes programming languages like React, HTML/CSS, Node.js, SQL, Python, Open Source databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services, Windows Power Shell
  • Supports the development of solutions for improving quality, delivery, efficiency, and customer and employee experience for business partners using technologies.
  • Solid understanding of the Software Development Lifecycle (SDLC) and CI/CD pipelines and tools.
  • Resolves production issues and engages IT and vendors as necessary.
  • Works closely with Program owner and business units regarding enhancements and changes.
  • Collaborates with and across Agile teams.
  • Demonstrates ability to learn and implement new technologies by analyzing technical specifications, build and configure supporting infrastructure, and implementing security best practices.
  • Provides workday and after-hours production support, including troubleshooting, problem correction, testing, and promotion to the production environment.
  • Initiates root cause analysis of application issues and supports resolution by coordinating with the vendor, internal IT and users as appropriate.
  • Demonstrates knowledge of version control systems like Git as well as the ability to manage code repositories, branching strategies, and code review processes effectively.
Education
  • Bachelor's Degree in computer science, information systems or a relevant discipline preferred
Work Experience
  • 2 years of experience in front end and back end development required
  • 2 years of experience in Agile practices required
  • 1 year of experience with React, Typescript and Node, and cloud platforms such as Microsoft Azure, AWS, or Google Cloud required
  • Prior Experience designing and implementing of AI/ML-powered features to enhance automation, decision-making, and customer experience in agricultural finance applications, using tools such as Amazon Sage Maker, Tensor Flow, or Scikit-learn preferred
  • Prior Experience product ionizing ML models, integrating them into full-stack applications with scalable APIs and real-time inference pipelines preferred
  • Prior Experience leveraging generative AI to improve customer-facing tools, such as chatbots, document automation, and intelligent search capabilities preferred
  • Strong technical, analytical and problem-solving skills that enhance working with problems that are complex and often unique. Ability to maintain flexibility and resilience when…
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