Lead Software Engineer - 19999

Cox Communications•Atlanta, GA
•Hybrid

About The Position

The Lead Software Engineer provides technical leadership while remaining hands-on in the design, development, and delivery of software solutions. Operating above the Senior Software Engineer level, this role is accountable for architectural guidance compliance, code quality, engineering best practices, and mentoring across one or more teams. The Lead Software Engineer partners with Product, Architecture, and Engineering leadership to ensure systems are scalable, secure, maintainable, and aligned with organizational technology standards. The role also applies AI-assisted engineering practices to improve productivity, quality, and operational efficiency. The position owns end-to-end technical delivery for assigned systems or domains and contributes to system- and platform-level technical direction. It requires informed technical decisions that balance quality, speed, cost, and risk; adapting technical approaches as requirements change; and maintaining current knowledge of software engineering, cloud, DevOps, and AI technologies.

Requirements

  • Bachelor’s degree and 6 years’ experience in a related field; alternatively, a master’s degree and 4 years’ experience, a Ph.D. and 1 year of experience, or 18 years’ experience in a related field.
  • Strong experience designing and building web-based or distributed systems.
  • Proficiency in one or more modern programming languages such as Python, Java, or JavaScript/TypeScript.
  • Experience building and deploying applications in cloud environments such as AWS, Azure, or GCP.
  • Experience with Git-based version control and CI/CD pipelines.
  • Demonstrated experience leading technical initiatives and mentoring engineers.
  • Experience using AI-assisted development tools for coding, testing, and documentation.
  • Ability to evaluate AI-generated outputs for correctness, security, and maintainability.
  • Understanding of prompt design, context management, and the limitations of AI tools.
  • Experience integrating AI services or APIs into software systems.
  • Knowledge of data privacy, security, and ethical considerations related to AI usage.
  • Ability to guide teams in effective and responsible AI adoption.
  • Must clear a pre-employment drug test; the company does not currently administer a pre-employment marijuana drug test for this position.

Responsibilities

  • Lead technical design and architectural decisions for features, services, or platforms.
  • Ensure adherence to engineering standards, design patterns, security practices, and performance requirements.
  • Review and approve technical designs and code changes.
  • Decompose epics and features into technical tasks and implementation plans.
  • Identify technical risks, dependencies, and trade-offs and propose mitigation strategies.
  • Lead root-cause analysis and resolution of complex production issues.
  • Design, develop, test, and deploy software solutions across the technology stack.
  • Write and maintain unit, integration, and automated tests.
  • Ensure production readiness, reliability, and observability of systems.
  • Maintain ownership of supported applications and services.
  • Apply AI-assisted development tools to improve code quality, testing, and documentation.
  • Use AI to support code reviews, refactoring, test generation, and defect analysis.
  • Evaluate AI capabilities for improving CI/CD pipelines, monitoring, and operational efficiency.
  • Ensure responsible and secure use of AI tools in accordance with organizational policies.
  • Contribute to standards and best practices for AI adoption within engineering teams.
  • Mentor senior, mid-level, and junior engineers on design, coding practices, and problem solving.
  • Provide technical guidance through code reviews, design sessions, and peer programming.
  • Support skill development in cloud, DevOps, and AI-related engineering practices.
  • Promote a culture of accountability, quality, and continuous improvement.
  • Lead the use of cloud-native and serverless architectures.
  • Oversee infrastructure health, cost optimization, security posture, and performance.
  • Improve CI/CD pipelines and DevOps practices.
  • Ensure operational excellence and production support readiness.
  • Contribute to system- and platform-level technical direction and influence engineering standards, tooling, and practices across teams.

Benefits

  • Flexible paid vacation, taken as consistent with duties, company needs, and obligations.
  • Seven paid holidays throughout the calendar year.
  • Up to 160 hours of paid wellness annually for the employee or family members.
  • Bereavement leave.
  • Time off to vote.
  • Jury duty leave.
  • Volunteer time off.
  • Military leave.
  • Parental leave.
  • Potential health care insurance, including medical, dental, and vision coverage.
  • Potential 401(k) retirement planning.
  • Potential paid days off, including sick leave, parental leave, flexible vacation/wellness days, and/or PTO.
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