Senior Full-Stack Engineer: AI-Driven Cloud-Native

Socket.dev

Dallas (TX)

On-site

USD 130,000 - 195,000

Full time

5 days ago
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Benefits offered by this job

Remote-first culture
Competitive compensation & benefits

Job summary

InfiniteChoice is hiring a Senior Full Stack Software Engineer to lead AI-driven cloud-native software development for millions of users. You’ll own the lifecycle from design to production, emphasizing architecture, quality, security and reliability.

You’ll collaborate across Product, Design, Platform and CloudOps, driving features end-to-end while advancing AI-assisted engineering practices in a remote-first environment.

Qualifications

  • Bachelor's degree in Computer Science, Engineering or equivalent.
  • 8+ years of hands-on software development experience.
  • Strong analytical, architectural, and problem-solving skills.
  • Ability to thrive in a fast-paced and evolving engineering environment.

Responsibilities

  • Design AI-driven end-to-end product development in collaboration with product/design teams.
  • Build scalable full-stack apps using Node.js, Vue.js/React, JavaScript/TypeScript.
  • Ensure code quality via AI-assisted reviews and testing strategies.
  • Implement automated testing across unit to performance tests.
  • Own production deployment with CI/CD and DevOps practices.
  • Maintain observability, monitoring and incident response with AI-assisted insights.
  • Drive continuous product quality, reliability and maintainability.

Skills

Node.js
Vue.js
React
JavaScript/TypeScript
API design
SQL
NoSQL
REST/GraphQL
Cloud-native
CI/CD
AI-powered tools

Education

Bachelor's degree in Computer Science or related field

Tools

Google Cloud Platform
Cursor
Claude Code

Job description

InfiniteChoice is hiring a Senior Full Stack Software Engineer to lead AI-driven cloud-native software development for millions of users. You’ll own the lifecycle from design to production, emphasizing architecture, quality, security and reliability.

You’ll collaborate across Product, Design, Platform and CloudOps, driving features end-to-end while advancing AI-assisted engineering practices in a remote-first environment.

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