Senior Mobile Engineer
Company
Cox Automotive - USAJob Family Group
Job Profile
Management Level
Flexible Work Option
Travel %
Work Shift
Compensation
Compensation includes a base salary in the range of $101,500.00 - $169,100.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate’s knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.Job Description
As an Senior Mobile Engineer 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 mobile 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 Android 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 native mobile 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 an mobile 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 mobile applications and system structures
- Use observability tools (crash reporting, logs, metrics, dashboards) to monitor app health, diagnose issues, and validate that changes behave as expected in production
- Work with fellow team members to ensure mobile design, development, and execution align with and support adjacencies and adhere to established architectural standards, including Kotlin/Jetpack Compose best practices
- Understand and work confidently against backend APIs, including how endpoints, data contracts, and error handling affect the mobile app's behavior
- 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
Who You Are:
Minimum Qualifications:
- Bachelor’s degree in a related discipline and 4 years’ experience in a related field. The right candidate could also have a different combination, such as a master’s degree and 2 years’ experience; a Ph.D. and up to 1 year of experience; or 16 years’ experience in a related field
- AI-Augmented Mindset: Advanced, deliberate use of AI coding assistants (GitHub Copilot, Claude, Cursor, etc.) across the SDLC, including judgment on when AI assistance is and isn't appropriate. Actively experiments with, defines, and leads the team's adoption of AI-Augmented development and practices.
- 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
- Problem Solving: Analytical and architectural judgment. Resolves complex, ambiguous problems and anticipates downstream impacts, risks, and dependencies
- 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: Fluent with Git workflows and comfortable guiding others on branching, review, and collaborative development practices
- Observability: Strong working knowledge of logging, metrics, tracing, and monitoring tools (e.g., New Relic, dashboards, alerts), with the ability to establish or improve observability practices for a system rather than just consume them
- Communication & Influence: Clearly communicates technical tradeoffs, risks, and recommendations to management and project team members
- 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, with solution complexity broadly understood well enough to drive consistent, meaningful estimates across the team
- AI Fluency & Standards: Drive AI-augmented workflows and standards (coding, review, ethical use) that measurably improve team speed and quality. Mentor others in adopting them
- Quality Solutions: Deliver maintainable, testable, and performant software that leverages existing patterns, is sufficiently abstract, and meets client needs across adjacent systems
- Craft Growth & Mentorship: Continue pursuing engineering craft mastery while actively growing the skills of less experienced teammates
- Plan Transparency: Ensure changes in direction that affect time, effort, cost, or scope are surfaced to the team and above with urgency that maximizes the team's ability to replan or pivot
- Initiative: Identify opportunities for automation, improvement, or learning and drive them independently
Drug Testing
Benefits
About Us
More jobs at Cox
- Detail Technician I (Manheim) — Lakeland FL
- Vehicle Operations Logistics Specialist II - Non-Driver (Non-Auction) — Remote - North Carolina
- Vehicle Operations Logistics Specialist II - Non-Driver (Non-Auction) — Remote - Florida
- Vehicle Operations Logistics Specialist II - Non-Driver (Non-Auction) — Remote - Texas