Sr Software Engineer - Mobile Development
Cox Enterprises
- Atlanta, Georgia, United States
- Atlanta, Georgia, United States
About
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
Delivery & Execution
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
Quality & Reliability
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
AI-Transformed Engineering
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
Spec-Driven Development
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
Collaboration
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
Technical Leadership & Growth
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
Spec-Driven + AI Requirements
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
Required Qualifications
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
In Office 2 days a week required.
Preferred Qualifications
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
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Languages
- English
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