Sr Software Engineer

Cox Enterprises • Atlanta, GA

1d • Hybrid

About The Position

We are seeking a skilled Senior Software Engineer to contribute to the full-stack design, development, and delivery of software solutions within a high-velocity engineering team. This role blends deep engineering excellence with a modern AI-first mindset — including the ability to rapidly prototype using GenAI platforms to accelerate team output and innovation. WHAT YOU'LL DO AWS Cloud, Serverless & Microservices Architecture Design and deliver cloud-native, microservices-based solutions on AWS, applying microservices principles across the full stack — frontend, backend, and cloud infrastructure — to build scalable, secure, and highly available systems, leveraging a broad and growing set of services including but not limited to: Compute: Lambda, Step Functions API, Auth & CDN: API Gateway, Cognito, CloudFront Messaging & Events: SQS, SNS, EventBridge, Kinesis Data: DynamoDB, S3, Aurora Serverless, OpenSearch, Kinesis Firehose Configuration: SSM Parameter Store Observability: CloudWatch, X-Ray IaC: CDK, SAM, CloudFormation And more across the broader AWS ecosystem Build and maintain scalable REST APIs using API Gateway and Lambda Support cloud cost optimization, security posture, and performance tuning efforts Implement CI/CD pipelines, infrastructure-as-code (AWS CDK/SAM), and blue/green deployment strategies Ensure production readiness through observability, automated testing, and monitoring Full-Stack, Microservices & Cross-Platform Development Design, develop, test, and deploy full-stack applications and microservices across Flutter/Dart (mobile & cross-platform), React/JavaScript (web), and Python/Node.js/Java/Spring Boot (backend) Build responsive, performant web interfaces using React and JavaScript, ensuring seamless user experiences across devices Develop robust backend services and RESTful APIs using Java/Spring Boot, Python, and Node.js following microservices design principles Create and maintain cross-platform mobile and web applications using Flutter/Dart, delivering consistent experiences across iOS, Android, and web Apply microservices best practices including service decomposition, independent deployability, and fault tolerance across the full stack AI-Assisted Engineering & Rapid Prototyping Rapidly prototype new product concepts using GenAI and LLM platforms Apply AI-assisted development tools to accelerate code generation, testing, documentation, and code review Evaluate AI-generated outputs for correctness, security, and production readiness Follow team-level standards and best practices for AI tool adoption Contribute to ideate → prototype → validate → ship cycles within fast-moving engineering teams Collaboration & Mentorship Participate in code reviews and contribute to engineering best practices Support and mentor mid-level and junior engineers on design, cloud practices, and AI tool usage Promote a culture of quality, continuous improvement, and learning

Requirements

• Bachelor’s degree (list any requirements of discipline here) and 4 years’ experience in a related field. The right candidate could also have a different combination, such as a master’s degree and 2 years’ experience; a Ph.D. and up to 1 year of experience; or 16years’ experience in a related field.
• Strong full-stack proficiency across mobile/cross-platform (Flutter/Dart), web (React/JavaScript), and backend (Python, Node.js, Java/Spring Boot).
• Hands-on AWS experience across a broad range of services including but not limited to Lambda, API Gateway, DynamoDB, Kinesis, OpenSearch, S3, Firehose, EventBridge, and SSM.
• Experience with CI/CD, infrastructure-as-code, and serverless deployment patterns.
• Demonstrated use of AI/GenAI tools in a professional development setting; understanding of prompt engineering, context management, and AI tool limitations.

Nice To Haves

• Familiarity with AWS CDK or SAM for infrastructure provisioning is a plus.
• Exposure to agentic AI workflows and multi-agent systems is a plus.
• AWS certification (Solutions Architect, Developer, or equivalent) is a plus.

Responsibilities

• AWS Cloud, Serverless & Microservices Architecture Design and deliver cloud-native, microservices-based solutions on AWS, applying microservices principles across the full stack — frontend, backend, and cloud infrastructure — to build scalable, secure, and highly available systems, leveraging a broad and growing set of services including but not limited to: Compute: Lambda, Step Functions API, Auth & CDN: API Gateway, Cognito, CloudFront Messaging & Events: SQS, SNS, EventBridge, Kinesis Data: DynamoDB, S3, Aurora Serverless, OpenSearch, Kinesis Firehose Configuration: SSM Parameter Store Observability: CloudWatch, X-Ray IaC: CDK, SAM, CloudFormation And more across the broader AWS ecosystem
• Build and maintain scalable REST APIs using API Gateway and Lambda
• Support cloud cost optimization, security posture, and performance tuning efforts
• Implement CI/CD pipelines, infrastructure-as-code (AWS CDK/SAM), and blue/green deployment strategies
• Ensure production readiness through observability, automated testing, and monitoring
• Full-Stack, Microservices & Cross-Platform Development Design, develop, test, and deploy full-stack applications and microservices across Flutter/Dart (mobile & cross-platform), React/JavaScript (web), and Python/Node.js/Java/Spring Boot (backend)
• Build responsive, performant web interfaces using React and JavaScript, ensuring seamless user experiences across devices
• Develop robust backend services and RESTful APIs using Java/Spring Boot, Python, and Node.js following microservices design principles
• Create and maintain cross-platform mobile and web applications using Flutter/Dart, delivering consistent experiences across iOS, Android, and web
• Apply microservices best practices including service decomposition, independent deployability, and fault tolerance across the full stack
• AI-Assisted Engineering & Rapid Prototyping Rapidly prototype new product concepts using GenAI and LLM platforms
• Apply AI-assisted development tools to accelerate code generation, testing, documentation, and code review
• Evaluate AI-generated outputs for correctness, security, and production readiness
• Follow team-level standards and best practices for AI tool adoption
• Contribute to ideate → prototype → validate → ship cycles within fast-moving engineering teams
• Collaboration & Mentorship Participate in code reviews and contribute to engineering best practices
• Support and mentor mid-level and junior engineers on design, cloud practices, and AI tool usage
• Promote a culture of quality, continuous improvement, and learning

Benefits

• The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company’s needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members.
• Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.
• Benefits of working at Cox may include health care insurance (medical, dental, vision), retirement planning (401(k)), and paid days off (sick leave, parental leave, flexible vacation/wellness days, and/or PTO).

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 501-1,000 employees