<p>The Senior Software Engineer is a hands-on technical leadership position responsible for designing, building, and maintaining high-quality software solutions. This role emphasizes both individual development work and ownership of design decisions for features and subsystems. Modern tools, including AI-assisted development and architectural support, are leveraged to drive delivery while maintaining accountability for technical outcomes.</p><p><br></p><p><strong>Responsibilities:</strong></p><p><br></p><ul><li>Design, implement, test, and maintain scalable, secure, and reliable applications and services.</li><li>Act as a senior technical contributor, with responsibility for the design and implementation of features and subsystems.</li><li>Contribute actively to development tasks, applying advanced coding expertise in several programming languages and frameworks.</li><li>Participate in architectural discussions and support incremental evolution of systems with team leads.</li><li>Conduct code reviews and mentor engineering team members, fostering best practices and ongoing improvement.</li><li>Translate requirements from product owners, business analysts, and stakeholders into technical solutions.</li><li>Identify and mitigate technical risks in assigned systems and projects.</li><li>Support and enhance cloud-based applications (Azure, AWS) with emphasis on performance, reliability, and scalability.</li><li>Collaborate effectively with onshore and offshore teams to ensure successful project execution.</li><li>Keep abreast of industry trends and new technologies to encourage innovation.</li><li>Utilize AI-assisted tools to expedite design, documentation, and implementation, while ensuring technical quality.</li><li>Lead and support AI-related initiatives, drawing on prior experience with AI/ML technologies; recommend and implement suitable AI tools and frameworks.</li><li>Test and demonstrate emerging AI tools and platforms via proofs of concept (POCs) to highlight business value.</li><li>Guide customers in leveraging AI to optimize business processes; support teams working on business-facing AI efforts.</li><li>Collaborate with stakeholders to contribute to defining an AI roadmap aligned with organizational strategy and technology objectives.</li></ul>
<p>We are looking for an experienced Lead Software Engineer to guide the design, enhancement, and support of warehouse management solutions. This role partners closely with operations, technology teams, and external partners to turn business goals into reliable system capabilities that improve warehouse performance. The ideal candidate brings deep Manhattan WMS expertise, strong technical leadership, and a practical understanding of supply chain processes in a production environment.</p><p><br></p><p>Responsibilities:</p><p>• Lead the architecture, configuration, and ongoing support of Manhattan WMS solutions across core warehouse functions.</p><p>• Translate operational needs into business, functional, and technical documentation that supports development and delivery efforts.</p><p>• Work closely with warehouse stakeholders to define system changes that align application capabilities with day-to-day business processes.</p><p>• Build, maintain, and troubleshoot integrations between WMS, transportation platforms, enterprise applications, and related downstream systems.</p><p>• Create and enhance reports, queries, and data outputs to address reporting needs and support business decision-making.</p><p>• Investigate production issues, coordinate resolution activities across teams, and participate in rotating on-call support for continuous operations.</p><p>• Support application upgrades, implementations, and testing activities, including validation planning and execution.</p><p>• Collaborate with project managers, developers, vendors, and cross-functional teams to prioritize work, define schedules, and deliver solutions.</p><p>• Mentor entry-level team members, share system knowledge, and provide training on new features, enhancements, and software updates.</p><p>• Review development practices and recommend improvements that strengthen software quality, efficiency, and long-term supportability.</p>