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Sr Fullstack Engineer (Backend Focus)
Saicon Consultants Inc.Alpharetta, GAπΊπΈUnited StatesPosted 17 Jul 2026
Quick Overview
Work Type
Hybrid
Level
Mid Senior
Job Description
Role Overview
Senior full-stack engineer to join a small, high-impact team building and expanding an enterprise platform for content creation, publishing, integrations, plugins, and AI-enabled user experiences. The selected candidate will have significant end-to-end ownership, from solution design and development through deployment, troubleshooting, and ongoing support.
Ideal Candidate
This is not an AI research or machine-learning specialist role.
Candidates should have:
Key Evaluation Areas
Please prioritize candidates who can clearly explain:
Senior full-stack engineer to join a small, high-impact team building and expanding an enterprise platform for content creation, publishing, integrations, plugins, and AI-enabled user experiences. The selected candidate will have significant end-to-end ownership, from solution design and development through deployment, troubleshooting, and ongoing support.
Ideal Candidate
- Typically, 5β10 years of progressive software development experience.
- Strong backend engineering experience with full-stack capability.
- Hands-on experience building and supporting production applications.
- Ability to independently own large features, modules, services, or pipelines.
- Strong understanding of system design, algorithms, data structures, performance, scalability, and reliability.
- Comfortable working in a small team with high visibility, autonomy, and accountability.
- Able to learn unfamiliar frameworks and technologies quickly.
- Backend: Python
- Frontend: React
- Database: PostgreSQL or another relational database
- Cloud: AWS or comparable cloud platform
This is not an AI research or machine-learning specialist role.
Candidates should have:
- Foundational knowledge of generative AI and AI-assisted development.
- Experience using or evaluating AI coding tools.
- The judgment to identify incorrect, insecure, or unsuitable AI-generated code.
- The ability to quickly learn and apply new AI tools in practical engineering workflows.
Key Evaluation Areas
Please prioritize candidates who can clearly explain:
- A system or major feature they personally took from design to production.
- A production failure they diagnosed, resolved, and prevented from recurring.
- Architectural decisions involving scale, latency, reliability, or maintainability.
- Relational database design, data integrity, indexing, and performance.
- Their individual contributions rather than only overall team accomplishments.
- Experience working with incomplete requirements and limited supervision.
- Initial contract duration: approximately six months, with potential extension.
- Interviews will focus on scenario-based technical and production questions.
- A video technical interview may be required.
- A coding assessment may be used when additional validation is needed.
Skills
AWS
Generative AI
PostgreSQL
Python
React
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