Staff Software Engineer

4 hours ago


Bangalore, India Rippling Full time

Staff Software Engineer Rippling is the first way for businesses to manage all of their HR & IT—payroll, benefits, computers, apps, and more—in one unified workforce platform. By connecting every business system to one source of truth for employee data, businesses can automate all of the manual work they normally need to do to make employee changes. With Rippling, you can just click a button and set up a new employees’ payroll, health insurance, work computer, and third-party apps—like Slack, Zoom, and Office 365—all within 90 seconds. Based in San Francisco, CA, Rippling has raised $1.We are seeking a passionate and highly experienced Staff Software Engineer to join our Employment Products team. As a senior most engineer and architect of the team, you will be responsible for designing, building, and scaling a first-of-its-kind Employments product. You will work on complex domains across 10+ countries, building a clean DSL for internal stakeholders, large-scale distributed systems, and cutting-edge performance analytics. Your work will have a direct impact on building a world class payroll product which accelerates success of expanding to more countries in a 10x shorter time span. Engage in coding and code reviews using Python, Golang, and Java . 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 . Presto, S3, Snowflake, MySQL, Aurora, MongoDB) to handle petabyte-scale data. Maintain standards and comprehensive documentation for system architecture and operations. Experience: 9+ years of software engineering experience, with at least 3 years in a role leading architecture, designing consumer facing products and building systems. 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. Experience working on consumer-grade applications with a focus on intuitive user experiences.



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