Site Reliability Engineer

Title: Site Reliability Engineer Location: Brentwood, TN, USA What We Need Corpay is currently looking to hire an Site Reliability Engineer within our Prepaid card division. This position falls under our Corpay Payables line of business and is located in Brentwood, TN. This role is responsible for leading a cross-functional software engineering team consisting of software developers and quality engineers. The Site Reliability Engineer is accountable for delivering high-quality software while developing people, improving engineering practices, and partnering closely with Product Management and business stakeholders to achieve business outcomes. In this role, you will report directly to the Senior Software Engineering Manager in the Prepaid division. As Corpay transforms into an AI-native software engineering organization, this leader will be expected to drive adoption of AI across the software development lifecycle. Our engineering teams leverage AI to accelerate software design, implementation, testing, documentation, troubleshooting, and delivery while maintaining the highest standards of quality, security, and engineering excellence. Successful candidates will have experience applying generative AI within software engineering and will be excited to help shape the future of AI-powered software development. The Site Reliability Engineer must possess strong technical leadership, excellent communication and collaboration skills, and a solid understanding of modern cloud architecture, AWS, and software engineering best practices. How We Work As a Site Reliability Engineer, Corpay will set you up for success by providing: Workspace in Brentwood, TN location Company-issued equipment Formal, hands-on training Access to modern AI-powered engineering tools and platforms Role Responsibilities The responsibilities of the role will include: Providing technical leadership, coaching, and career development for team members. Building an engaged, collaborative, and high-performing engineering culture. Establishing clear goals, expectations, and performance standards for teams and individuals. Driving adoption of agentic software engineering practices that leverage AI agents to accelerate software delivery. Driving adoption of AI-native quality engineering practices to generate and maintain test assets, identify risk, accelerate regression testing, improve defect analysis, and expand test coverage. Ensuring AI-generated code and artifacts meet Corpay standards through peer review, automated testing, security practices, and engineering judgment. Partnering with Product Management to identify opportunities for customer-facing AI capabilities that create business value. Owning delivery commitments by proactively managing schedules, dependencies, risks, and impediments. Working with architects and other technical leaders to ensure solutions align with Corpay's technology strategy. Collaborating with other departments and stakeholders and responsibilities as assigned. Qualifications & Skills Bachelor's degree in computer science/related field or equivalent experience 6+ years overall experience in software development 3+ years leading software engineering, quality engineering or similar teams Experience with Agile, Scrum, and emerging AI-native methodologies for software development Experience applying generative AI to software design, development, testing, or delivery. Experience with AWS or Azure cloud services Experience with Git and modern source control workflows. Excellent communication, collaboration, and leadership skills. Benefits & Perks Medical, Dental & Vision benefits available the 1st month after hire Automatic enrollment into our 401(k) plan (subject to eligibility requirements) Virtual fitness classes offered company-wide  Robust PTO offerings including major holidays, vacation, sick, personal, & volunteer time Employee discounts with major providers (i.e. wireless, gym, car rental, etc.) Philanthropic support with both local and national organizations Fun culture with company-wide contests and prizes  Pay Transparency The expected salary range for this position is $157,000 – $190,000 based on the candidate’s work location. This range reflects a good faith estimate of the expected compensation for this role at the time of posting. The final offer will be determined based on job-related factors including skills, experience, qualifications, and applicable market conditions. Compensation may vary based on geographic location and will be confirmed during the hiring process. Additional compensation and benefits, including incentive programs, health coverage, retirement plans, paid time off, and other benefits (where applicable), may also be provided.