Sr Software Engineer
$111.6k - $186kCox
Cox Automotive is seeking a Senior Software Engineer , that will work with a team of engineers to deliver solutions that support how dealers acquire and exit inventory. The team builds applications using C# and Stencil, running on AWS, and combines backend services with modern web interfaces to deliver reliable and highly available systems. You will contribute across the full software development lifecycle, including design, development, testing, and deployment, with ownership of features and systems end to end. The team owns applications from initial development through production support. You will collaborate with engineering, product management, UX, and solution delivery teams to deliver incremental value while maintaining system stability. This includes participating in on call rotations and supporting production systems using tools such as PagerDuty, with a focus on fast resolution and continuous improvement. You will apply AI assisted development tools to build, validate, and refine software across the SDLC. This includes using strong contextual inputs to guide AI generated code and ensure outputs meet quality, reliability, and maintainability standards, while helping other engineers adopt these practices effectively. What You'll Do:
- 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.
- Mentorship & Leadership: Provide technical mentorship on design patterns, code quality, and career growth.
- Ownership & Initiative: Take full ownership of features or systems; proactively identify and solve problems.
- Continuous Learning: Stay up to date with advancements in cloud computing, DevOps, AI, and software best practices.
- Adaptability: Thrive in dynamic environments and pivot easily when priorities shift.
- Collaboration & Communication: Communicate technical concepts clearly to both technical and non-technical stakeholders.
- Decision-Making: Influence architectural decisions and contribute to the long-term technical strategy.
- Development languages/frameworks: C#, JavaScript, Stencil
- Cloud: Amazon: AWS SDK, ElastiCache, S3, EC2, SQS, SNS, API Gateway, CloudFormation, and AWS cloud-native architectures Lambda, ECS Fargate
- DevOps Tools: NewRelic, AWS CodeBuild, Github, Splunk, Terraform
- Databases: PostgreSQL, DynamoDB, Elasticsearch, Oracle, OpenSearch
- Tools & Practices: Agile (Scrum/Kanban), DevOps, CI/CD, TDD
- Special Focus: AI integration, Serverless architecture
- 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. (We are unable to sponsor visa's now or in the future).
- 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.
- 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
- Demonstrated experience contributing to open-source projects or communities
- 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.
Vacancy posted 8 hours ago
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