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Sr Fullstack Engineer (Backend Focus)

Saicon Consultants Inc.Alpharetta, GA🇺🇸United StatesPosted 17 Jul 2026

Why This Role Stands Out

You'll have significant end-to-end ownership in designing, developing, and deploying an innovative enterprise platform, offering excellent opportunities for career growth within a high-impact team. This hybrid role is perfect for an experienced backend engineer with full-stack capabilities who thrives on autonomy and is eager to leverage foundational AI knowledge in practical engineering workflows. Join Saicon Consultants Inc. and take ownership of impactful projects in a collaborative environment.

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
  • Typically, 5–10 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.
Core Technology Environment
  • Backend: Python
  • Frontend: React
  • Database: PostgreSQL or another relational database
  • Cloud: AWS or comparable cloud platform
AI Expectations
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.
Engagement and Interview Process
  • 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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