Backend Lead for Enterprise AI Platforms (Hybrid)

Ema; San Francisco (CA); Hybrid; USD 135,000 - 300,000; Full time

Job summary

A leading AI company based in California is seeking an experienced Enterprise Software Engineer to design and maintain enterprise applications. The role involves full-stack responsibilities, with strong emphasis on back-end development using Python and Go, as well as knowledge in API and database technologies. The ideal candidate is expected to have at least 4 years of experience along with problem-solving skills. This position offers a competitive salary range of $135,000-$300,000 annually, based on expertise and location.

Qualifications

• At least 4 years of relevant work experience.
• Solid background in algorithms, data structures, and object-oriented programming.
• Knowledge of security best practices for enterprise software applications.

Responsibilities

• Develop and maintain enterprise software applications, including API, data, application, and service development.
• Write clean, efficient, and maintainable code employing test-driven development.
• Ensure applications are secure and adhere to industry best practices.

Skills

Back-end development using Python

Back-end development using Go

Knowledge of database technologies like PostgreSQL

Experience with REST APIs

Frontend technologies like React

Problem-solving skills

Experience with Docker

Experience with Kubernetes

Education

Bachelor's degree in Computer Science or related field

Tools

PostgreSQL

AWS

GCP

Azure

FastAPI

Job description

A leading AI company based in California is seeking an experienced Enterprise Software Engineer to design and maintain enterprise applications. The role involves full-stack responsibilities, with strong emphasis on back-end development using Python and Go, as well as knowledge in API and database technologies. The ideal candidate is expected to have at least 4 years of experience along with problem-solving skills. This position offers a competitive salary range of $135,000-$300,000 annually, based on expertise and location.