Note: The job is a remote job and is open to candidates in USA. Fleetworthy offers a complete technology suite for fleet readiness, focusing on safety and compliance, toll management, and weigh station bypass solutions. They are seeking a Software Engineering Manager to lead teams in developing financial and internal tooling systems, ensuring robust and scalable solutions while mentoring engineers and managing software development processes.

Responsibilities

• Lead and mentor teams of software developers, supporting their career growth and performance
• Manage team performance using engineering management metrics and software engineering best practices to drive continuous improvement and accountability
• Manage a portfolio of internal business applications, ensuring ongoing stability, performance, and scalability
• Oversee the full Software Development Life Cycle (SDLC) including design, planning, implementation, deployment, and support
• Partner with Product Management and collaborate to gather requirements, define scope, prioritize resources, and deliver practical, scalable software solutions
• Coordinate priorities and development schedules across multiple initiatives and applications
• Contribute to high-level system architecture and application design, ensuring alignment with business objectives and technical best practices
• Be part of the team’s troubleshooting and problem-solving sessions including implementing, testing, and deploying proposed solutions
• Ensure adherence to coding standards, version control, testing practices, and release procedures
• Contribute to cross-team engineering culture and help identify and resolve systemic issues across teams

Skills

• Bachelor's level education in Computer Science, Computer Engineering, Electrical Engineering, or similar degrees, or equivalent practical experience
• 9+ years of hands-on software development experience, including back-end services, APIs, and databases
• Experience in a leadership role as an engineering team lead and/or managing software teams — including 1–2 years of direct people management
• Strong Problem-Solving Skills: Architect mindset — think beyond the code to design systems that solve real problems creatively, scalably, maintainably
• Exposure and technical knowledge of C# or similar (e.g., Java) with the ability to design, understand, and review production-quality code
• Exposure and understanding of enterprise SQL systems, e.g., SQL Server, including schema design, performance tuning, and complex query development
• Self-Starter: self-directed; proactively identifies work and opportunities for improvement, removal of blockers, and drives initiatives forward
• Collaborative Leadership: Works with engineers, peer and upper managers, and across teams throughout the business towards success; seeks help and support openly and proactively, learning as they go
• Documentation & Organization: Communicates clearly, documents decisions and code thoroughly, and brings structure to ambiguous situations
• Monitoring Mindset: Understands observability — logs, metrics, and alerting — and knows how to troubleshoot and resolve production issues confidently
• Quality Assurance Mindset: Treats quality as a shared responsibility, not a handoff — champions testing at every stage of the SDLC, from unit and integration tests to end-to-end validation. Understands the value of test coverage, code reviews, and regression safety nets in maintaining a healthy, production-ready codebase
• Navigating Ambiguity: Thrive in fast-paced, evolving environments — comfortable making decisions with incomplete information
• Remote Experience: Comfortable working in distributed teams with async communication and a high degree of self-management
• Hands-on balance: Maintain the right mix of team leadership, collaboration, and direct technical contribution depending on the needs of the teams
• Comfortable leveraging AI coding tools to accelerate development understanding AI limitations and security implication
• Critically evaluating output for bias, errors, and correctness
• Open to learning and adopting new AI tools and workflows as the landscape evolves
• Experience in fleet management, transportation technology, or safety/compliance domains
• Experience in account, financial, and/or business application domains

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