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MeridianLink

AI Software Engineer

Reposted 7 Days Ago
Remote
Hiring Remotely in US
104K-178K Annually
Mid level
Remote
Hiring Remotely in US
104K-178K Annually
Mid level
This role involves designing, developing, testing, and maintaining software solutions, collaborating with various teams while focusing on scalable and reliable engineering.
The summary above was generated by AI
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 You'll 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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