HRIS Software Engineering Manager

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