Senior Backend Engineer - Go, Real-Time APIs, Remote

liveramp

New York (NY)

On-site

USD 130,000 - 197,000

Full time

8 days ago
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Benefits offered by this job

Competitive salary
Flexible work options
Medical, dental, vision
401K

Job summary

LiveRamp invites engineers to join the Pixel Serving team, part of Identity Engineering, to build and scale AI-forward advertising tech. You will own Go-based distributed APIs servicing external partners and craft robust data flows with modern streaming platforms.

The role requires 5+ years deploying high-performance production code and 2+ years shipping MVPs, scaling complex distributed systems, and mentoring teammates.

Qualifications

  • 5+ years of professional experience deploying high-performance production code.
  • 2+ years of relevant experience building and launching MVPs quickly, to scaling existing products to high volumes, and managing complex, high-reliability distributed systems.
  • Strong track record of designing and building maintainable, large-scale systems.
  • You are comfortable navigating complex, unfamiliar and unclear problem spaces and platforms.
  • You enjoy translating business challenges into effective technical solutions.

Responsibilities

  • Contribute to building and scaling the next-generation, AI-forward advertising technology stack.
  • Own several distributed real-time APIs and applications, written in Go, that service external partners.
  • Develop robust cross-team data flows using modern streaming platforms like Redpanda.
  • Continuously improve the reliability, performance, and maintainability of core production systems.

Skills

Go
Java
Python
Kubernetes
Redpanda
SingleStore
Terraform

Education

Bachelor’s degree in a quantitative field

Tools

Kubernetes
Redpanda
SingleStore
Terraform

Job description

LiveRamp invites engineers to join the Pixel Serving team, part of Identity Engineering, to build and scale AI-forward advertising tech. You will own Go-based distributed APIs servicing external partners and craft robust data flows with modern streaming platforms.

The role requires 5+ years deploying high-performance production code and 2+ years shipping MVPs, scaling complex distributed systems, and mentoring teammates.

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