Senior Backend Engineer - AI Safety & Systems

mpathic

United States

Sur place

USD 140 000 - 190 000

Plein temps

Il y a 5 jours
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Résumé du poste

mpathic is seeking a Senior Software Engineer (Back End) to design, build, and scale the systems powering our platform and AI safety work. This role focuses on backend engineering with .NET (C#) and AWS, building reliable APIs, services, data infrastructure, and cloud-native applications.

You’ll own end-to-end problems, make thoughtful architectural decisions, and collaborate with engineers, product teams, and AI specialists to deliver robust, scalable solutions in a fast-moving environment

Qualifications

  • 5+ years of software engineering experience with a backend focus.
  • Experience with .NET (C#) and AWS.
  • Strong knowledge of SQL and NoSQL databases.
  • Experience designing scalable backend services and APIs.
  • Familiarity with React ecosystem and frontend collaboration.

Responsabilités

  • Design, build, test, and maintain robust backend systems using .NET (C#) and other languages as appropriate.
  • Design, deploy, and manage scalable applications in AWS (ECS Fargate, DynamoDB, S3).
  • Develop reliable APIs and services powering the platform and AI workflows.
  • Work with SQL (PostgreSQL) and NoSQL (DynamoDB) databases.
  • Collaborate with frontend engineers and product teams; participate in code reviews.

Connaissances

Backend development (.NET/C#)
AWS proficiency
SQL & NoSQL databases
System design
Frontend familiarity (React ecosystem)
Technical ownership
Cross-functional collaboration
Continuous learning

Outils

PostgreSQL
DynamoDB
AWS (EC2, S3, ECS)
React basics

Description du poste

mpathic is seeking a Senior Software Engineer (Back End) to design, build, and scale the systems powering our platform and AI safety work. This role focuses on backend engineering with .NET (C#) and AWS, building reliable APIs, services, data infrastructure, and cloud-native applications.

You’ll own end-to-end problems, make thoughtful architectural decisions, and collaborate with engineers, product teams, and AI specialists to deliver robust, scalable solutions in a fast-moving environment

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