Senior Software Engineer

Cox Enterprises•Austin, TX

6d•$111,600 - $186,000•Hybrid

About The Position

Cox Automotive is seeking a Senior Software Engineer to join a team focused on delivering solutions for dealer inventory acquisition and exit. The team utilizes C# and Stencil on AWS, integrating backend services with modern web interfaces for reliable and highly available systems. The role involves the full software development lifecycle, including design, development, testing, and deployment, with end-to-end ownership of features and systems. Responsibilities include production support, collaborating with cross-functional teams, participating in on-call rotations, and utilizing AI-assisted development tools. The engineer will also contribute to prompt engineering experimentation and mentor junior engineers.

Requirements

Bachelor’s degree in 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.
4+ years of full stack software development experience, designing and developing web applications
4+ years of experience building and deploying applications in a cloud environment (preferably AWS; Azure or GCP acceptable).
4+ years of proficiency in .NET or Java, and React.js.
4+ years of experience using Git or similar version control systems.

Nice To Haves

Experience working with AI technologies or strong curiosity to incorporate AI into development such as: Agentic coding AI-assisted development tools (e.g., GitHub Copilot, ChatGPT. Claude Code)
Advanced prompt engineering
Experience with additional tech-stacks such as .NET, Stencil, javascript, Node.js
Hands-on experience with designing and implementing on AWS is preferred
Experience leading or contributing significantly to large-scale technical projects.
Strong database development skills, including advanced SQL, relational and NoSQL database technologies.
Effective communicator; able to present technical information clearly to both technical and non-technical audiences
Skilled at collaborating across cross-functional teams and aligning stakeholders around shared goals
AWS certifications (Developer, Solutions Architect, or DevOps) preferred.

Responsibilities

Design, develop, and deploy scalable, cloud-native applications that meet user story requirements and acceptance criteria.
Own features and systems end to end, from architecture and development through deployment and production support.
Write and maintain unit, integration, and automated tests to ensure software quality and reliability.
Support functional testing efforts for applications, modules, or new features.
Troubleshoot and resolve software defects and production issues.
Break down epics and stories into technical tasks and provide accurate estimates.
Build expertise in the applications, systems, and services you support.
Monitor and manage cloud infrastructure (cost, performance, security) within AWS.
Enhance CI/CD pipelines and infrastructure to improve performance, security, and deployment cycles.
Design and build service-oriented architecture solutions, integrating with complex database and third-party systems.
Explore and incorporate AI capabilities to improve code quality, deployment processes, and innovation within our engineering practice.
Collaborate with AI agents to build, test, and deploy software across the SDLC by using proper contextual inputs to improve AI understanding and output quality.
Implement AI-powered features and pipelines in our software products.
Contribute to prompt engineering experimentation and share tool usage insights with the team.
Mentor and support junior and mid-level engineers through technical guidance, code review, and peer programming.
Participate actively in Agile ceremonies and contribute to a culture of ownership, trust, and continuous improvement.
Effectively document your work and share knowledge across the team.
Stay current on tools, technologies, and trends relevant to your technical domain, including cloud computing, DevOps, and AI.