AI Software Engineer

MeridianLink Inc

  • CA
  • 30+ days ago

    Highlights

    Success in this role is measured through technical contribution, collaboration, engineering quality, operational reliability, and the ability to positively influence team effectiveness and software delivery outcomes. This Software Engineer is a mid-level engineering role responsible for designing, developing, testing, and maintaining software solutions that support the company's products and platform capabilities.

    Numbers & Facts

    LocationCA

    Description

    Position Summary

    This Software Engineer is a mid-level engineering role responsible for designing, developing, testing, and maintaining software solutions that support the company's products and platform capabilities. This role works closely with senior engineers, product managers, QA, and DevOps teams to deliver scalable, reliable, and maintainable software in a modern cloud-based engineering environment.

    What Youll Do

    • Own implementation and delivery of product features and services
    • Collaborate on technical design and architecture discussions
    • Develop backend and frontend functionality using modern engineering practices
    • Contribute to CI/CD pipelines, testing, monitoring, and operational reliability
    • Grow technical expertise through mentorship and cross-functional collaboration

    Required Qualifications

    • 3+ years of professional software engineering experience
    • Strong proficiency in backend engineering using C#/.NET and APIs, with familiarity in modern frontend technologies.
    • Familiarity with Docker, CI/CD pipelines, and cloud platforms (Azure, AWS)
    • Experience with AI development tools and methodologies
    • Strong communication and problem-solving skills

    Why This Role Is Interesting

    We value engineers who enjoy building, improving, and simplifying systems. This role provides the opportunity to work across product, platform, and engineering initiatives that directly influence customer experience and business outcomes.

    What Success Looks Like

    Success in this role is measured through technical contribution, collaboration, engineering quality, operational reliability, and the ability to positively influence team effectiveness and software delivery outcomes.

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