AI & Integration Systems Engineering Manager – HRIS
Job in
Springfield, Greene County, Missouri, 65897, USA
Listed on 2026-07-20
Listing for:
Jobtailor
Full Time
position Listed on 2026-07-20
Job specializations:
-
Software Development
DevOps, Software Architect, Software Project Mgr/ Lead, Cloud Engineer - Software
Job Description & How to Apply Below
Responsibilities
- Lead, coach, and develop a team of software engineers and technical leads
- Drive delivery across the software development lifecycle, from planning through production support
- Set engineering priorities, delivery plans, and measurable outcomes aligned to business goals
- Guide architecture, engineering standards, documentation, and solution delivery
- Remove roadblocks, manage risk, and support high-quality, on-time execution
- Modernize legacy applications, workflows, and integration patterns
- Advance reusable platform capabilities, API‑first design, automation, and service‑based engineering practices
- Partner with product, architecture, infrastructure, security, and business teams on technology roadmaps
- Improve system reliability, maintainability, observability, and operational readiness
- Drive modern engineering practices including Agile, Dev Sec Ops , CI/CD, automated testing, and release governance
- Identify and implement AI and intelligent automation opportunities that improve efficiency, user experience, and business outcomes
- Follow responsible AI practices across governance, security, privacy, and quality
- Lead hiring, talent planning, performance management, and career development
- Build a high‑performing engineering culture focused on accountability, collaboration, and continuous improvement
- Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related field, or equivalent experience
- 8+ years of experience in software engineering, systems integration, enterprise application development, or platform engineering
- 3+ years of experience leading technical teams
- Experience designing and delivering scalable, secure, production‑grade systems
- Strong understanding of software architecture, design patterns, reliability, observability, and support models
- Experience with API‑driven architectures, enterprise integrations, distributed systems, and backend platforms
- Experience leading teams using Agile, Dev Ops, CI/CD, and automated testing practices
- Strong communication and stakeholder management skills
- Experience leading or delivering AI‑enabled products, intelligent automation, or decision‑support capabilities in an enterprise setting
- Understanding of responsible AI principles, including privacy, security, governance, and human oversight
- Experience in leading teams to deploy/migrate custom applications to cloud Azure
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