Overview The Senior IT Engineer is responsible for building, maintaining, and improving technical products and platforms in support of Casey's strategic objectives. This role operates with a
high level of autonomy, driving complex solutions, collaborating across teams, and contributing to technical direction while ensuring quality, stability, and scalability.
Key Responsibilities: - Develop, enhance, and support complex technical solutions by identifying opportunities for improvement, building scalable and maintainable systems, and
diagnosing and resolving issues to ensure high availability and performance. - Contribute to and influence technical roadmaps, ensuring engineering work aligns with business priorities and outcomes.
- Design, develop, and maintain automated tests to ensure high-quality, reliable solutions.
- Collaborate cross-functionally with product, design, and engineering partners to deliver end-to-end solutions.
- Operate with autonomy in making technical decisions, including solution design, trade-offs, and implementation approaches.
- Mentor and support other engineers by sharing best practices, providing feedback, and elevating team technical capability.
- Continuously improve engineering practices, including code quality, testing, observability, and delivery processes.
- Use AI-assisted tools to accelerate engineering workflows, including drafting and refining code, generating tests, exploring logs/queries, and iterating on technical
designs while applying strong engineering judgment, validating outputs, and retaining full ownership and accountability for the correctness, quality, and
outcomes of the work produced. - Apply responsible AI practices by protecting sensitive information, verifying outputs, and exercising discernment on when and how AI tools should be used to ensure
high-quality and secure solutions. - Perform other duties as assigned.
Compensation:
Starting pay range: $102,200-140,500. Actual pay may vary based on Casey's assessment of the candidate's knowledge, skills, abilities (KSAs), related experience, education, and qualifications. Other factors impacting pay include local prevailing wages and internal equity. This position is eligible for an annual cash bonus based on company performance. Our full salary range for this role does extend beyond the hiring range listed, allowing team members the opportunity to continue to grow within the company.
Requirements - This position requires authorization to work in the U.S. without the need for employment-based immigration sponsorship now or in the future. Casey's will not provide sponsorship or employer support for applications or petitions for F-1 OPT, F-1 CPT, H-1B, L-1, TN, O-1, E-3, H-1B1, J-1, or any other employment-based visa.
- Bachelor's degree in Computer Science, Information Technology, or equivalent years of related work experience.
- At least five (5) years of experience building and maintaining full stack applications in a business environment.
- Excellent interpersonal, verbal, and written communication skills
- Capable of identifying problems, analyzing and evaluating information to determine solutions for problem solving.
- Excellent interpersonal, verbal and written communication skills.
- Excellent analytical, organizational and problem-solving skills.
- Takes initiative and has the ability to work independently, with minimal supervision, or as part of a team.
- Excellent attention to detail, with the ability to remain organized and self-motivated.
- Prioritizes and organizes assignments to make efficient use of time with significant attention to detail.
Preferred Technical Skills & Experience: - Experience building and operating applications in cloud environments (e.g., Azure) with modern CI/CD pipelines and automation.
- Strong experience with API development and distributed systems (REST/GraphQL, event-driven architectures).
- Experience using observability and operational tooling (logging, monitoring, tracing) to troubleshoot and improve system reliability.
- Experience with data platforms and analytics tools (e.g., SQL, Databricks, Spark) to support debugging and performance optimization.
- Familiarity with AI-assisted development tools and AI-enabled applications, including prompt-based workflows or LLM integration.
- Exposure to AI Ops concepts, including applying automation, monitoring, and data-driven insights to improve system operations and engineering productivity.
This role does not allow for 100% remote work. Qualified candidates must live within a daily commutable distance of Casey's Store Support Center in Ankeny, IA and be willing to work onsite 5 days per week.
