Remote Senior Full-Stack Engineer for AI-Driven Scale

Ladders

United States

Remote

USD 187,000 - 243,000

Full time

1 hour ago
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Benefits offered by this job

Flexible PTO
Events credits
Medical insurance
Dental insurance
Vision insurance
Life insurance
Disability benefits
401k and HSA
Company off-sites
Wellness programs
Tenure recognition

Job summary

Ladders is seeking a Senior Full Stack Engineer to join a leader in the Consumer Technology space, shaping and scaling user-facing digital experiences across web, mobile, backend services, and APIs.

You will partner with Product, Design, and Data to deliver reliable features and infrastructure for a large consumer audience, with a strong focus on performance and thoughtful AI usage to improve development efficiency.

Qualifications

  • 5+ years of senior-level full-stack engineering experience.
  • Experience building scalable web/mobile/backend systems.
  • Proficiency with Golang and React.
  • Experience with cloud platforms (AWS, GCP, or Azure).
  • Strong emphasis on performance and scalable design.

Responsibilities

  • Build and ship full-stack features across web, mobile, backend, and APIs.
  • Design scalable systems for millions of users.
  • Develop and maintain high-performance services and infrastructure.
  • Collaborate with Product, Design, and Data teams.
  • Own projects from concept through deployment and optimization.
  • Write high-quality code and contribute to code reviews.
  • Drive AI adoption through automation and AI tools.

Skills

Full-stack development
Backend development (Golang)
React for web apps
System design for scalability
Cloud platforms (AWS)
Relational & NoSQL databases
Collaboration with product/design/data
Code reviews & quality

Tools

Golang
React
AWS
NoSQL databases

Job description

Ladders is seeking a Senior Full Stack Engineer to join a leader in the Consumer Technology space, shaping and scaling user-facing digital experiences across web, mobile, backend services, and APIs.

You will partner with Product, Design, and Data to deliver reliable features and infrastructure for a large consumer audience, with a strong focus on performance and thoughtful AI usage to improve development efficiency.

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