7 hours ago
Base Salary
$168k - $280k/yr
Responsibilities
- Design, build, and operate reliable, scalable, and cost-effective infrastructure for data, analytics, ML, and AI workflows.
- Build reusable workflow, integration, data-access, orchestration, and state-management capabilities across platforms.
- Support long-running agent workflows with retries, evaluation, observability, and result delivery.
- Improve platform reliability, data quality, performance, cost, security, observability, and developer experience.
- Lead projects from technical design through production operation, including incident response and long-term improvements.
- Partner with product, engineering, data science, and business teams to develop durable platform capabilities.
- Help set technical direction and raise engineering standards across the team.
Requirements
- 5+ years of software engineering experience building backend systems, distributed systems, infrastructure, or data platforms.
- Proven record of owning and delivering complex technical projects.
- Strong hands-on coding skills in a backend or systems language.
- Experience building and operating production data platforms involving data warehouses, distributed query systems, lakehouse storage and compute, workflow orchestration, cloud infrastructure, and infrastructure as code.
- Experience building integrations and data-access systems that move or expose data across platforms.
- Experience owning production systems, including reliability, security, observability, cost, and incident response.
- Strong systems-design skills and judgment across reliability, security, scale, cost, and usability.
- Ability to work across multiple technical areas and through ambiguity, with strong communication and collaboration skills.
- Preferred experience includes ML platform capabilities, production ML model operations, agent platforms, distributed asynchronous systems, ML or agent evaluation and observability, data discovery, lineage, access controls, or governance systems.
Benefits
- Competitive salary, benefits, and equity are provided; compensation varies by location and candidate factors.
- Office-based employees within a defined radius are currently expected to work in the office at least three days per week.
- Rippling provides reasonable accommodations for candidates with disabilities and is an equal opportunity employer.
Tech Stack
Categories
BackendData Engineering
About Rippling
Rippling builds a unified workforce management platform that combines HR, payroll, IT, and finance software for businesses on a single system. Its SaaS suite covers onboarding, payroll, time tracking, benefits, device and identity management, spend/expenses, and accounting integrations with ERPs like NetSuite, QuickBooks, Microsoft Dynamics 365, and Oracle. Founded in 2016 and headquartered in San Francisco, Rippling is privately held and serves companies from startups to large enterprises.