Engineering Manager leading Scout, Daloopa’s AI - powered Excel financial modeling product. Building reliable ML/LLM systems and developing high - performing engineering teams.
About the role
- Senior Engineering Manager leading engineering teams at Fulfillment IQ. Overseeing AI-assisted engineering practices and high-performance software development in supply chain logistics.
Responsibilities
- Lead, mentor, and develop engineering teams across backend, frontend, integration, database, cloud, DevOps, and automation domains.
- Own people management responsibilities, including performance feedback, coaching, career development, capacity planning, and team engagement.
- Build a high-accountability engineering culture focused on ownership, quality, collaboration, and continuous improvement.
- Champion AI-assisted engineering practices across software development, testing, documentation, prototyping, debugging, code review, and delivery execution.
- Own engineering delivery commitments across assigned projects, clients, delivery squads, or pods.
- Contribute directly to solution architecture, technical design, and implementation planning.
- Design, develop, and maintain scalable, secure, and high-performance applications using C#.NET, Angular, React, and Python.
Requirements
- 8+ years of software engineering experience.
- 4+ years of engineering leadership, people management, or technical delivery leadership experience.
- Strong hands-on proficiency in C#.NET Core and .NET Framework.
- Frontend experience with Angular and React.
- Working knowledge of Python for automation, scripting, data handling, or integration work.
- Strong database experience with SQL Server, PostgreSQL, and MongoDB.
- Proven experience with Azure Infrastructure and/or Google Cloud Platform, including App Services, VMs, Storage, Networking, Identity, Security, and Monitoring.
- Strong experience with Azure DevOps Pipelines, CI/CD automation, branching strategies, build/release workflows, and deployment governance.
- Experience leading cross-functional teams in Agile, Scrum, squad-based, or pod-based delivery models.
- Knowledge of AI-assisted engineering practices and familiarity with tools such as GitHub Copilot, Azure AI, ChatGPT Enterprise, Cursor, or similar platforms.
- Ability to balance strategic leadership with hands-on technical contributions.
- Strong understanding of software architecture, integration patterns, APIs, security, scalability, and production support.
- Experience with code reviews, design reviews, incident management, and engineering quality practices.
- Excellent communication, customer engagement, problem-solving, and stakeholder management skills.
Benefits
- Comprehensive health and dental coverage for you and your family
- Competitive paid time off and flexible leave policies
- Retirement savings programs and employer contributions
- Dedicated learning and development budget
- Remote and hybrid work options
- Equipment allowances, internet reimbursements, business travel coverage, and employee stock options (ESOP), where applicable.
- Team events, meetups, and company offsites
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