Responsibilities Make an impact Lead and mentor a team of software engineers in the design, development, and delivery of warehouse automation solutions. Serve as a technical authority in software development efforts with Java, C#, Python, and other development languages along with architectural design decisions. Review designs and team solutions to ensure architecture principles are being followed and executed to ensure a modular, scalable, and high-availability automation platform. Collaborate with product managers, architects, and cross-functional teams to define technical requirements and deliverables. Maintain a balance between technical and operational leadership and hands-on support for the teams delivery responsibilities. Oversee the end-to-end project lifecycle for all SDLC activities to include shared responsibilities around planning, estimation, and alignment of the projects with business objectives and timelines. Evaluate and integrate emerging technologies, including AI/ML and Agentic platforms and tools where applicable. Participate in strategic planning and roadmap creation for automation software initiatives. Drive Agile methodologies ensuring the facilitation of sprint planning, stand-ups, retrospectives, and backlog grooming in coordination with product owners and solution architects. Foster a high-performance engineering culture through mentoring, coaching and career development, promoting accountability, innovation, and collaboration. Establish, maintain, and monitor KPIs to track project health, team productivity, and software quality. Champion best practices in software development including CI/CD, automated testing, code quality, security, and documentation. Ensure compliancy for team and architectures to support ISO 27001, NIST, GDPR and any certifications established for logistics data security. Application Requirements What you need to succeed Bachelor’s degree in Computer Science, Software Engineering, IT, or related field. 7+ years of professional software engineering experience, including 2+ years in a leadership or managerial capacity. Proven experience in Java, C#, Python, or other development languages to include Spring framework and designing RESTful microservices or components. Solid understanding of software architecture, distributed systems, and cloud-native services (AWS, Azure, or GCP). Strong background in Agile methodologies with practical experience managing multiple software projects. Strong background in DevOps tools and practices to include containerization (Docker and Kubernetes) to include cloud-native deployments. Demonstrated success in building and scaling high-performing engineering teams. Strong interpersonal and communication skills, with the ability to lead cross-functional collaboration and stakeholder alignment.   Additional Skills a Plus: Experience in Warehouse automation, WMS, industrial control systems, or robotics software. Familiarity with AI-driven tools for warehouse efficiency, fault prediction, and logistics optimizations. Familiarity or practical experience with agentic AI platforms (e.g. GitHub CoPilot, AI pair programmers, etc.) and tools to accelerate software development. Hands on experience with real-time warehouse control systems (WMS, WES, SCADA, PLCs, or other platforms).