Mobile Engineer II

As an Mobile Engineer II within Next Gear Capital, you will help build and evolve the mobile experiences that support customers, team members, and critical business operations across one of the automotive industry's leading inventory finance organizations. Working as part of a collaborative product and engineering team, you will deliver modern mobile solutions that improve user experiences, increase operational efficiency, and support the continued digital transformation of the business.

This role is ideal for an Mobile engineer who has progressed beyond purely guided execution and is ready to take ownership of discrete features and application components while continuing to grow technical depth and business understanding. You will partner closely with product managers, designers, backend engineers, and fellow mobile developers to deliver high-quality native Android applications that solve meaningful customer and business problems.

At Next Gear Capital, AI-assisted software development is becoming a foundational aspect of how engineering teams work. In this role, you'll leverage modern AI tools and development practices throughout the software development lifecycle to accelerate delivery, improve quality, and enhance collaboration. Success requires strong mobile engineering fundamentals, thoughtful application of AI-augmented workflows, and a commitment to maintaining high standards for code quality, security, performance, and user experience.

You'll have opportunities to contribute across the mobile development lifecycle, participate in technical design discussions, collaborate on product initiatives, and help shape modern engineering practices within an organization actively investing in innovation, automation, and AI-driven transformation.

What You'll Do:

• Collaborate with AI agents and tools to build, test, and deploy software across the SDLC, providing proper contextual inputs to improve AI understanding and ownership of output quality
• Contribute to prompt engineering experimentation and share tool usage insights with the team
• Engage in design and development discussions, helping the team conceptualize desired outcomes from a software engineering perspective
• Assist with feature/element estimation in terms of technical input, resources, time, and anticipated outcomes
• Develop and implement unit and system tests for integral code paths, ensuring adherence to secure coding practices at all times
• Provide technical support, including troubleshooting and enhancement, for existing and new features within application and system structures
• Use observability tools (logs, metrics, traces, dashboards) to monitor system health, diagnose issues, and validate that changes behave as expected in production
• Document processes to capture best practices, applicable methodologies, and repeatability going forward
• Update team members, manager, product owners, and other key stakeholders on status, challenges, and concerns
• Participate in code reviews, both giving and receiving feedback
• Take ownership of assigned work and drive it to completion with minimal oversight, while staying closely engaged with teammates, raising blockers early, and pitching in on shared team goals beyond your own assigned tasks

Who You Are:

Minimum Qualifications:

• Bachelor's degree in a related discipline and 2 years' experience in a related field. The right candidate could also have a different combination, such as a master's degree and up to 2 years' experience; or 14 years' experience in a related field
• AI-Augmented Mindset:
  Consistent, effective use of AI coding assistants (Git Hub Copilot, Claude, Cursor, etc.) across the SDLC. You provide strong context, iterate on outputs, and critically evaluate quality and correctness rather than accepting output as-is. Spec Driven Development (SDD) experience is a plus.
• Problem Solving:
  Sound analytical judgment. Troubleshoots and resolves moderately complex issues with limited guidance
• Mobile Ecosystem Awareness: Working knowledge of the systems your native mobile applications integrate with, including REST APIs, backend services (e.g., Java/Spring Boot), authentication patterns, and relational data models.…