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Salary
≈ $20k – $47k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Senior · 6+ years exp

First seen by Alion on Oct 28, 2026.

Overview
Company
Impact
Profile match
Rippling is an enterprise workforce management and workforce OS platform headquartered in San Francisco, California. Founded in 2016 by Parker Conrad and Prasanna Sankar, the company provides a unified software system that manages human resources (HR), information technology (IT), and corporate finance operations. Operating on a B2B SaaS subscription model, Rippling sits on top of a centralized employee data store. Its integrated product suite covers global payroll, employee benefits administration, applicant tracking, device management, corporate expense management, corporate cards, and bill pay.

As a Software Engineer, you will operate as a hands-on technical leader. You will own ambiguous platform problems, lead cross-functional initiatives, shape architecture, and continue to write/review/debug production code. This role is not for someone who wants to only advise or delegate.


Responsibilities:

  • Own major AI Platform initiatives across backend, platform, infrastructure, and AI-enabled systems.
  • Lead design and execution for systems supporting agents, evals, automation, data pipelines, model quality, sandboxing, scaling, latency, and reliability.
  • Act as a technical lead for cross-functional work involving Product, Infra, Platform, AI, and Engineering teams.
  • Write code, review critical code paths, debug production issues, and make implementation-level decisions.
  • Build platform systems that can be reused by multiple product teams across Rippling.
  • Balance speed, quality, reliability, and long-term platform maintainability.


Requirements:

  • 10-15 years of software engineering experience, preferably in backend, platform, infrastructure, distributed systems, AI platform, or product engineering.
  • Strong hands-on coding ability; must be willing to remain close to code, debugging, design reviews, and implementation details.
  • Strong programming knowledge in one or more languages such as Python, Java, Go/Golang, C++, Scala, Kotlin, or C#.
  • Proven experience building and operating large-scale distributed systems in production.
  • Experience in high-growth or hyper-growth startup/product environments preferred.

Skills

AI Platform, Backend, C++, Distributed Systems, Go, Golang, Infrastructure, Java, Product Engineering, Python

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