Sr Software Engineer - Mobile Development
$101.5k - $169.1kCox Automotive
The Senior Software Engineer is responsible for full-stack mobile development for our Manheim website. This person will work on designing, developing, and maintaining scalable, secure, and high-performing software systems. This role works cross-functionally with Product, Architecture, and Engineering teams to deliver business value through high-quality, reliable software. This is a hands-on role focused on building production-ready solutions, while contributing to technical direction, mentoring engineers, and leveraging modern tools-including AI and spec-driven development-to improve engineering productivity and outcomes. Key Responsibilities: Software Development & Design
- Design, develop, test, and deploy software across the full technology stack
- Translate business and functional requirements into clear, well-defined technical specifications
- Ensure systems are scalable, resilient, maintainable, and secure
- Apply modern engineering standards and best practices
- Break down specs and features into clear, actionable, and estimable tasks
- Deliver incremental value using Agile methodologies
- Own end-to-end delivery of features or services
- Align development with architectural standards and system design
- Write and maintain automated unit, integration, and end-to-end tests
- Ensure code quality, performance, and adherence to specifications
- Troubleshoot and resolve production issues
- Identify risks, dependencies, and deviations early
- Leverage AI-assisted tools (e.g., Copilot, LLM-based tools) to improve productivity and code quality
- Use AI for code generation, test creation, debugging, and documentation
- Validate and refine AI-generated outputs for correctness, security, and maintainability
- Contribute to team practices around AI usage and prompt engineering
- Drive spec-driven development, where features are defined through clear, structured specifications before implementation
- Create and refine technical specs (APIs, contracts, workflows, data models) that serve as the source of truth for development
- Use specifications to enable alignment across engineering, product, and QA
- Leverage specs to support automation, testing, and AI-assisted development workflows
- Ensure implementations are traceable back to specifications and meet defined acceptance criteria
- Partner with Product, QA, and Architecture teams to deliver solutions
- Participate in design discussions and technical decision-making
- Communicate progress, trade-offs, and blockers clearly
- Contribute to coding standards and engineering best practices
- Mentor junior engineers through code reviews and guidance
- Continuously learn and adopt new technologies, including AI-driven techniques
- Experience working in spec-driven or contract-first development environments
- Ability to define clear technical specifications (e.g., API contracts, schemas, workflows)
- Experience using AI-assisted development tools effectively
- Ability to validate, refine, and safely adopt AI-generated outputs
- Understanding of responsible AI usage in software development
- Applicants must currently be authorized to work in the United States for any employer without current or future sponsorship. No OPT, CPT, STEM/OPT or visa sponsorship now or in future.
- Bachelor's degree Computer Science or a related discipline and 4+ years of experience in a related field, OR master's degree and 2+ years of experience, OR Ph.D. and up to 1 year of experience, OR 18+ years of directly relevant experience.
- Mobile development experience using React Native
- Strong proficiency in at least one programming language (e.g., Java, Python, .NET)
- Experience with cloud platforms (e.g., AWS) and distributed systems
- Solid understanding of system design, APIs, and data models
- Experience with automated testing and CI/CD practices
- Ability for rotational on-call duties outside of standard business hours may be required.
- In Office 2 days a week required.
- Experience building large-scale or mission-critical systems
- Familiarity with microservices and event-driven architectures
- Experience integrating AI capabilities into applications (e.g., LLM APIs, search, recommendations)
- Experience improving engineering workflows through automation or AI
- Strong debugging and performance tuning skills
Vacancy posted 20 hours ago
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