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Salary
≈ $35k – $91k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Staff · 9+ years exp

First seen by Alion on Aug 26, 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.

Responsibilities:

  • Architect, develop, and maintain large-scale, distributed systems and scalable services for the Rippling Unity Platform.
  • Set the direction for engineering best practices and technology adoption.
  • Engage in coding and code reviews using Python, Golang, and Java.
  • Guide and support engineers, fostering a culture of learning and technical excellence.
  • Partner with cross-functional teams to align on goals and ensure successful project outcomes.
  • Design and implement clean, modular APIs, including Backend for Frontend (BFF) systems.
  • Architect systems capable of supporting millions of users, ensuring performance, reliability, and scalability
  • Design analytical and transactional systems (e. g., Presto, S3 Snowflake, MySQL, Aurora, MongoDB) to handle petabyte-scale data.
  • Implement streaming solutions (e. g., Spark Streaming, Apache Flink, Kafka Connect) for transactional and analytical workflows.
  • Establish robust observability practices, including monitoring, logging, and tracing.
  • Maintain standards and comprehensive documentation for system architecture and operations.

Requirements:

  • 9+ years of software engineering experience, with at least 3 years in a role leading architecture, designing consumer-facing products, and building systems.
  • Technical Expertise: Strong proficiency in backend development, distributed systems, and large-scale data pipelines.
  • Data Pipeline Experience: Hands-on experience with data processing frameworks.
  • Scalability and Performance: Deep knowledge of building and scaling real-time, high-throughput systems.
  • Consumer-Facing Product Development: Experience working on consumer-grade applications with a focus on intuitive user experiences.
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