Sr Software Engineer

Cox; Atlanta (GA); On-site; USD 101,500 - 169,100; Full time

Benefits offered by this job

Unlimited vacation with pay

Paid holidays

Paid wellness hours

Job summary

Cox is looking for a skilled Senior Software Engineer in Atlanta, Georgia, to join a high-velocity engineering team. The role involves full-stack design and development of solutions to elevate software engineering with an AI-first approach. Responsibilities include delivering microservices on AWS and building responsive applications using modern technologies like React and Flutter.

Excellent candidates would have extensive AWS experience, strong full-stack capabilities, and the ability to mentor less experienced engineers. A competitive salary starting from $101,500 to $169,100 annually along with excellent benefits is offered.

Qualifications

• At least 4 years of experience in a related field or equivalent educational background.
• Strong proficiency in full-stack development across mobile, web, and backend technologies.
• Hands-on experience with a wide variety of AWS services.

Responsibilities

• Design and deliver microservices-based solutions on AWS.
• Build and maintain REST APIs using API Gateway and Lambda.
• Implement CI/CD pipelines and infrastructure-as-code practices.

Skills

Full-stack proficiency in mobile/cross-platform (Flutter/Dart)

Web development with React and JavaScript

Backend development with Python, Node.js, Java/Spring Boot

AWS services including Lambda, API Gateway, DynamoDB

CI/CD and serverless deployment patterns

AI and GenAI tools usage

Education

Bachelor's degree in Computer Science or related discipline

Tools

AWS CDK

GitHub

CloudFormation

Job description

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 an 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.

• 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, and 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

Who You Are

• Bachelor's degree in Computer Science or related discipline and at least 4 years’ experience in a related field. Candidates may have alternative combinations such as a master’s degree with 2 years’ experience, a Ph.D. with up to 1 year, or up to 16 years’ experience.
• 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.
• 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.
• 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.

Primary Tech Stack

• Web Frontend: React, JavaScript
• Mobile / Cross‑Platform: Flutter, Dart
• Backend: Python, Node.js, Java, Spring Boot
• Database: DynamoDB, S3, Aurora Serverless
• Serverless / Cloud: Lambda, API Gateway, Kinesis, EventBridge, and more
• DevOps / IaC: GitHub, AWS CDK / SAM, CloudFormation, CI/CD Pipelines
• Observability: CloudWatch, X‑Ray
• AI Tools: GenAI / LLM Platforms (various)

Compensation

Base salary in the range of $101,500.00 – $169,100.00 per year. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.

Benefits

Great flexibility: unlimited vacation with pay aligned to duties, seven paid holidays annually, and up to 160 hours of paid wellness annually for employees and their families. Eligible employees also receive additional paid time off for bereavement leave, voting, jury duty, volunteer time, military, and parental leave.

EOE, including disability and veterans. This position is open to applicants who meet the qualifications listed above. Please note we do not sponsor.