Senior AI Software Engineer - Platform & Kubernetes

Kiewit (Canada); Lone Tree (CO); Hybrid; USD 130,000 - 150,000; Full time

Job summary

Kiewit Infrastructure Engineers is seeking a Senior Software Engineer to lead the development of an enterprise AI platform, spanning AI capabilities, backend services, UI, and Kubernetes workloads. You will own features, contribute to architecture, and collaborate with security and data owners to ensure robust, scalable solutions.

You will work from one of Kiewit’s campus locations, with potential for remote opportunities, and participate from design through production delivery, shaping

Qualifications

• 5+ years of professional software engineering experience designing, building, and maintaining production applications or services.
• Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, or a related technical field, or equivalent practical software engineering experience.
• Hands-on Kubernetes experience deploying, operating, and troubleshooting containerized applications.
• Strong programming and debugging skills, with depth in Python or TypeScript and the ability to contribute across Python services and TypeScript/React web applications.
• The ability to read unfamiliar code, identify consequential defects and architectural weaknesses, and explain why a proposed correction is sound.
• Practical experience integrating large language models (LLMs) or agent workflows into applications, including evaluating their behavior and limitations.
• Experience using AI-assisted development tools while independently reviewing, debugging, and validating the resulting code.
• Solid software engineering fundamentals across API design, data modeling, distributed systems, authentication and authorization, testing, version control, and CI/CD.
• Experience moving prototypes into maintained production systems, with attention to security, failure handling, performance, and operability.
• Clear communication and the ability to support contributors with different technical backgrounds.

Responsibilities

• Own features and services through production. Clarify requirements and acceptance criteria, design and implement changes across the relevant AI, backend, data, and UI components, and support their operation after release.
• Build and evaluate AI workflows. Integrate language models, retrieval, and enterprise tools. Work with domain experts to define task success and use representative evaluations to assess quality, failure behavior, latency, and cost.
• Help domain experts deliver their ideas. Participate early in design, pair on implementation, and guide prototypes through architecture review, hardening, integration, and delivery. Explain tradeoffs clearly and help contributors develop stronger software practices.
• Work directly with Kubernetes. Deploy, troubleshoot, and improve containerized application workloads, including configuration, networking, storage, resource usage, observability, and rollout and recovery behavior.
• Review and improve implementation quality. Review human‑written and AI‑generated code for correctness, security, reliability, and maintainability. Trace changes across components, challenge assumptions in the code and its tests, and address underlying causes of defects.
• Protect company data and user access. Build integrations that respect user permissions, preserve data integrity, and handle AI‑driven actions and failures safely, in partnership with security and data owners.
• Strengthen software engineering practices. Improve existing workflows through meaningful automated tests, code review, error handling, CI/CD, documentation, and operational visibility.
• Make capabilities clear and usable. Carry features through UI integration and documentation, and keep ownership, dependencies, readiness, rollout status, and known limitations visible to the team.

Skills

Python

TypeScript

Debugging

Communication

Problem solving

Education

Bachelor's degree in CS/Engineering

Tools

Kubernetes

Azure AKS

FastAPI

PostgreSQL

Graph/Vector retrieval

Job description

Kiewit Infrastructure Engineers is seeking a Senior Software Engineer to lead the development of an enterprise AI platform, spanning AI capabilities, backend services, UI, and Kubernetes workloads. You will own features, contribute to architecture, and collaborate with security and data owners to ensure robust, scalable solutions.

You will work from one of Kiewit’s campus locations, with potential for remote opportunities, and participate from design through production delivery, shaping