Mobile Engineer II

Cox Enterprises; Indianapolis (IN); Hybrid; USD 95,000 - 130,000; Full time

Job summary

NextGear Capital is seeking a Mobile Engineer II to build and evolve native mobile experiences. You will work with a product and engineering team to deliver modern Android apps, collaborate with AI tools, and own features from concept to delivery in a hybrid in-office role in Carmel, Indiana.

The role emphasizes AI-augmented workflows, strong mobile fundamentals, and high standards for code quality, security, performance, and user experience.

Qualifications

• Bachelor’s degree in a related discipline or equivalent experience.
• AI-augmented mindset with efficient use of AI coding tools across the SDLC.
• Strong problem solving and analytical judgment.
• Solid mobile ecosystem knowledge including REST APIs and backend services.
• Demonstrated experience with native Android (Kotlin) or iOS development.
• Proficient Git workflows and collaboration practices.
• Excellent communication of technical tradeoffs to stakeholders.
• Willingness to work in office three days per week in Carmel, Indiana.

Responsibilities

• Collaborate with AI agents to build, test, and deploy software across the SDLC.
• Contribute to prompt engineering and share tool usage insights with the team.
• Engage in design and development discussions and plan outcomes.
• Assist with feature estimation including technical input, resources, time, and outcomes.
• Develop unit and system tests, ensuring secure coding practices.
• Provide technical support and enhancements for existing and new features.
• Use observability tools to monitor health and validate changes in production.
• Document processes and best practices for repeatability.
• Update stakeholders on status, challenges, and concerns.
• Participate in code reviews and provide feedback.
• Take ownership of assigned work and drive to completion.

Skills

AI-Augmented Mindset

Problem Solving

Mobile Ecosystem Awareness

Native Mobile Development

Version Control

Observability

Communication

In-office Carmel, IN

Education

Bachelor’s degree in a related discipline or equivalent

Tools

Git

Android (Kotlin)

iOS (Swift)

REST APIs

Job description

As an Mobile Engineer II within NextGear 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 NextGear 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're 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 (GitHub 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. Understands how mobile applications interact with distributed systems and can effectively troubleshoot issues across integration points, while maintaining depth in native mobile development as their primary area of expertise.
• Native Mobile Development: Demonstrated experience building native mobile applications using Android (Kotlin, Jetpack Compose) and/or iOS (Swift, SwiftUI) technologies. Familiarity with modern mobile architecture patterns, platform development tools, testing frameworks, and performance optimization techniques.
• Version Control & Collaboration: Comfortable with Git workflows, branching strategies, and collaborative development practices
• Observability: Working knowledge of logging, metrics, and monitoring tools (e.g., New Relic, dashboards, alerts) to understand system behavior and health
• Communication: Able to clearly explain technical tradeoffs and status to teammates and non-technical stakeholders
• This role requires working in the office three days per week in Carmel, Indiana

OUTCOMES

• Working Software, Every Sprint: Produce working software each sprint that meets the definition of done, delivers expected value, and stays within constraints defined by engineering leadership
• AI Fluency: Maintain effective AI-augmented workflows that measurably improve speed and quality. Actively share what works with the team
• Quality Solutions: Deliver maintainable, testable, and performant software that leverages existing patterns and meets client needs, with solution complexity understood well enough to produce consistent, meaningful estimates
• Craft Growth: Demonstrate measurable growth toward independent ownership of features and system elements
• Plan Transparency: Ensure changes in direction that affect time, effort, cost, or scope are surfaced to the team and above quickly
• Initiative: Identify opportunities for automation, improvement, or learning and act on them with minimal guidance