Principal Engineer

The employee may work from anywhere in the United StatesFull-TimePrincipal
Salary not disclosed
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Job Details

Experience
Three (3) years of experience in a related occupation designing, developing, testing, and implementing software and machine learning solutions in production environments.
Required Skills
AWSNode.jsPythonSQLMachine Learning.NETCI/CD

Requirements

  • Master’s degree or foreign equivalent in Computer Science or a closely related field.
  • Three years of experience designing, developing, testing, and implementing software and machine learning solutions in production environments.
  • Proficiency with AWS technologies such as Lambda, DynamoDB, Redshift, Athena, Glue, and S3.
  • Experience building and maintaining backend APIs within a cloud-native architecture.
  • Proficiency in Node.js, Python, .NET, and SQL.
  • Experience with CI/CD pipelines and automated testing practices.
  • Proven ability to translate product requirements into technical system designs.
  • Strong technical leadership and mentoring experience.
  • Experience with AI-assisted development workflows.

Responsibilities

  • Design, implement, and own complex backend systems end-to-end, including architecture, performance, and scalability.
  • Design and operate large-scale data pipeline architectures and backend services using AWS technologies (Lambda, DynamoDB, Redshift, Athena, Glue, S3).
  • Build and maintain backend APIs and distributed data workflows using Node.js, Python, .NET, and SQL.
  • Translate product requirements into technical designs, evaluating tradeoffs and communicating risks.
  • Implement AI-assisted development workflows, CI/CD pipelines, and automated testing.
  • Oversee technical output and delivery flow across cross-functional teams.
  • Lead technical design, participate in code reviews, and support system evolution.
  • Collaborate with product managers and data scientists to define scope and deliver solutions.
  • Mentor teammates in AI-assisted development practices to reduce bottlenecks.
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