Software Engineer: AI-Driven, Scalable Systems

Daycos

Norfolk (NE)

On-site

USD 85,000 - 120,000

Full time

7 days ago
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Job summary

Daycos seeks a Software Engineer in Norfolk, Nebraska to design, develop, test, and maintain scalable software across web, backend, and platform environments. You will translate requirements into robust solutions and collaborate with product owners and teammates to deliver high-quality software on schedule.

You will contribute to code reviews, CI/CD, and operational reliability while staying current with AI-assisted development practices and modern engineering techniques.

Qualifications

  • Degree or technical training in Computer Science, Software Engineering, Information Technology, or related field, or equivalent practical experience.
  • 2+ years of experience in software development or related engineering role.
  • Experience developing applications using C#, .NET, JavaScript, NodeJS, Python, Svelte, SvelteKit, GraphQL, HTML, CSS, or similar frameworks and languages.
  • Experience developing and consuming APIs and web services.
  • Familiarity with relational databases such as PostgreSQL, MySQL, or similar technologies.
  • Familiarity with cloud platforms such as Azure or AWS and CI/CD practices.
  • Familiarity with source control and collaborative development tools such as GitHub, VS Code, and Visual Studio.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Effective communication and collaboration abilities.
  • Ability to manage priorities and contribute within a team-oriented environment.
  • Familiarity with AI-assisted development tools, modern automation platforms, or integrating AI-enabled services into applications is preferred.
  • Willingness to learn and adopt emerging AI technologies and modern engineering practices to improve software development and operational efficiency.

Responsibilities

  • Design, develop, test, and maintain software applications, APIs, integrations, and related services across web, backend, and platform environments.
  • Translate functional requirements into scalable, maintainable, and well-structured technical solutions.
  • Collaborate with product owners, stakeholders, and team members to deliver high-quality software on schedule.
  • Troubleshoot, debug, and resolve issues across applications, services, and environments.
  • Contribute to software quality through code reviews, testing, documentation, and adherence to engineering standards and best practices.
  • Support application reliability, performance, security, and maintainability through proactive monitoring, troubleshooting, and continuous improvement efforts.
  • Participate in deployment, CI/CD, and operational support activities as needed.
  • Identify and address technical debt, performance bottlenecks, and opportunities for system improvement.
  • Participate in technical discussions, architecture reviews, and collaborative problem-solving efforts across teams.
  • Communicate effectively with technical and non-technical stakeholders regarding requirements, solutions, risks, and timelines.
  • Contribute to a culture of continuous learning, knowledge sharing, and engineering improvement.
  • Stay current with emerging technologies, development frameworks, AI capabilities, and modern engineering practices.

Skills

Analytical skills
Troubleshooting
Problem-solving
Communication
Team player
Willingness to learn AI

Education

Degree in Computer Science/Software Engineering or related field
Equivalent practical experience

Tools

C#
.NET
JavaScript
Node.js
Python
Svelte
SvelteKit
GraphQL
HTML/CSS
SQL
Azure
AWS
GitHub
VS Code
Visual Studio

Job description

Daycos seeks a Software Engineer in Norfolk, Nebraska to design, develop, test, and maintain scalable software across web, backend, and platform environments. You will translate requirements into robust solutions and collaborate with product owners and teammates to deliver high-quality software on schedule.

You will contribute to code reviews, CI/CD, and operational reliability while staying current with AI-assisted development practices and modern engineering techniques.

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