Lead Software Engineer

Kiewit • Papillion, NE

12d • Onsite

About The Position

Kiewit is looking for top talent to join our fast-paced and innovative Software Delivery Team. We are seeking a highly talented, experienced Lead Software Engineer who is passionate about creating next-generation construction products and services, leveraging modern software engineering and AI-enabled development practices. The ideal candidate combines strong architecture and leadership skills with experience using AI-assisted development tools to improve engineering productivity, code quality, and delivery velocity.

Kiewit Technology Group builds solutions to enable and support our company's expansive operations. Our mission is to deliver project schedule and cost certainty by employing technology designed by and for the construction industry. Our team utilizes systems and tools that manage every part of Kiewit's business and the project lifecycle to improve planning and day-to-day execution in the field. We give our people real-time data to make faster, smarter decisions.

Requirements

• Bachelor’s and/or master’s degree in computer science, Information Technology, Engineering, or related experience.
• 3+ years of Lead/Senior Software Engineering experience.
• 7+ years of experience building software using OOP practices. (Full-stack software development)
• Experience with React.
• Experience with C#.
• Strong understanding of .NET development.
• Experience using AI-assisted software development tools such as Cursor, GitHub Copilot, Claude Code, ChatGPT Enterprise, Windsurf, Codeium, or similar platforms.
• Experience incorporating AI-powered development workflows including code generation, refactoring, testing, documentation, and code review.
• Familiarity with prompt engineering, AI-assisted debugging, and developer productivity optimization.
• Experience with SQL Server/Azure SQL and Azure ecosystem services.
• Regular, reliable attendance
• Work productively and meet deadlines timely
• Communicate and interact effectively and professionally with supervisors, employees, and others individually or in a team environment.
• Perform work safely and effectively. Understand and follow oral and written instructions, including warning signs, equipment use, and other policies.
• Work during normal operating hours to organize and complete work within given deadlines. Work overtime and weekends as required.
• May work at various different locations and conditions may vary.

Responsibilities

• Considers the customer’s perspective and experiences when designing systems.
• Leads and participates in the architectural design of features early in the development cycle.
• Produces quality designs that ensure solutions meet performance, scalability, flexibility, and extensibility requirements.
• Leads the team in establishing program specifications and secure coding standards.
• Work with Product Owners to translate roadmap features into manageable components/tasks.
• Champion automated testing and test-driven development.
• Write and coach the team on clean, maintainable, and scalable code.
• Utilize AI-assisted development tools such as Cursor, GitHub Copilot, Claude Code, ChatGPT Enterprise, Windsurf, or Codeium to accelerate software delivery.
• Establish best practices for AI-assisted software development, including prompt engineering, code review governance, security validation, and responsible AI usage.
• Drive adoption of AI-powered development workflows, automated code generation, intelligent testing, and developer productivity tooling.
• Own the full release lifecycle in Azure DevOps from maintaining multi-stage pipeline YAML and environment configurations to executing deployments and validating post-release health across Azure App Services, Service Bus, and API integrations using Azure Monitor and Application Insights.
• Primary technical point of contact for stakeholders.
• Responsible for managing delivery of committed work for the team.
• Mentor junior developers and engineers.
• Champion modern software engineering practices including AI-enabled development workflows, DevSecOps, and continuous delivery.
• Lead evaluation and adoption of emerging AI engineering tools and platforms.

Benefits

• top-tier medical, dental and vision plans covering eligible employees and dependents
• voluntary wellness and employee assistance programs
• life insurance
• disability
• retirement plans with matching
• generous paid time off

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level