HRIS Software Engineering Manager
Jobtailor
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, DevSecOps, 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.
Requirements
- 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, DevOps, 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
Vacancy posted 10 hours ago
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