Sr Fullstack Engineer (Backend Focus)

Saicon Consultants Inc

  • Alpharetta, GA
  • 29 days ago

    Highlights

    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.

    Numbers & Facts

    LocationAlpharetta, GA

    Description

    Job Description:
    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.

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