
location_on417, Camilla Circle, Mableton, Cobb County, Georgia, 30126, United States
We are seeking a Senior Software Engineer to drive full-stack design, development, and delivery within a high-velocity engineering team. This position is unique in its blend of deep engineering excellence and a modern AI-first mindset. You will be expected to rapidly prototype using GenAI platforms to accelerate team output and foster innovation, ensuring that cutting-edge technology is seamlessly integrated into our scalable systems.
In this role, you will architect cloud-native, microservices-based solutions on AWS, applying principles across the full stack—from frontend to cloud infrastructure. Your day-to-day will involve building responsive web interfaces, developing robust backend services, and creating cross-platform mobile applications. Beyond coding, you will champion a culture of quality by mentoring mid-level and junior engineers, participating in code reviews, and establishing best practices for AI tool adoption and infrastructure-as-code.
Candidates selected for this role will navigate a structured interview process designed to assess technical depth, architectural thinking, and cultural fit. The journey typically includes an initial screening, followed by technical deep-dives and system design discussions. Final stages involve team fit interviews to ensure alignment with our collaborative and fast-moving engineering environment.
We are an Equal Opportunity Employer and consider qualified applicants regardless of background. We are committed to building a diverse and inclusive team where everyone can contribute their best work. Note that applicants must currently be authorized to work in the United States for any employer without current or future sponsorship.
Work model: On-site
417, Camilla Circle, Mableton, Cobb County, Georgia, 30126, United States
Mableton, Georgia
Skills: Aws, Lambda, Step Functions, Api Gateway, Cognito, Cloudfront, SQS, SNS, Eventbridge, Kinesis.
Education: Bachelor's in Computer Science or related discipline; Master's degree with 2 years experience; Ph.D. with up to 1 year experience.
Familiarity with AWS CDK or SAM for infrastructure provisioning. Exposure to agentic AI workflows and multi-agent systems. AWS certification (Solutions Architect, Developer, or equivalent).