MegaCorp Logistics is undergoing an Agentic AI-first transformation and needs a Software Manager to lead the software engineering team in overseeing the design, development, and evolution of core platforms and applications, driving the adoption of agentic software development practices, and fostering innovation.
Requirements
- Demonstrated experience managing teams supporting modern software stacks (e.g., .NET, Python, JavaScript, Azure, AWS, or similar).
- Experience with agentic SDLC/AI-augmented practices and integrating AI/automation into software delivery.
- Familiarity with cloud data warehousing (e.g. Snowflake) and integration platforms preferred.
- Proven ability to translate software and automation strategies into operational impact, ideally within logistics, transportation, supply chain, or similarly complex environments.
- Experience with Agile, Scrum, or similar software development methodologies.
Responsibilities
- Responsible for leading the software engineering team in the Company's Agentic AI-first transformation, overseeing the design, development, and evolution of core platforms and applications.
- Drives the adoption and refinement of agentic (AI-augmented and automation-focused) software development practices, ensures delivery excellence, and fosters a culture of innovation, transparency, and continuous improvement.
- Collaborate with software architects to guide software architecture decisions and champion agentic SDLC/coding practices, with a focus on AI-driven automation and operational excellence.
- Oversee the delivery, quality, and reliability of software solutions, ensuring standards for code quality, maintainability, and performance are consistently met.
- Collaborate with DevOps, Infrastructure/Cloud, Data Services, QA, and business stakeholders to deliver integrated, scalable solutions.
- Evaluate and implement new technologies, especially in AI, automation, and integration, to improve internal workflows and customer value.
- Promote an AI-First approach to work, coaching and encouraging the use of AI tools and practices within all aspects of software development.
Other
- Set direction and priorities for software engineering initiatives, ensuring alignment with enterprise objectives and technology strategy.
- Manage and develop a cross-functional team of software engineers, providing coaching, performance feedback, and professional development opportunities.
- Manage project delivery, backlog, and team performance, using Agile or similar methodologies.
- Foster a culture of transparency, documentation, and continuous improvement, promoting reusable design and operational excellence.
- Represent the Software Engineering function in cross-departmental reviews, audits, and planning sessions.
