Software Engineer 2

About Rippling

Rippling gives businesses one place to run HR, IT, and Finance. It brings together all of the workforce systems that are normally scattered across a company, like payroll, expenses, benefits, and computers. For the first time ever, you can manage and automate every part of the employee lifecycle in a single system.

Take onboarding, for example. With Rippling, you can hire a new employee anywhere in the world and set up their payroll, corporate card, computer, benefits, and even third-party apps like Slack and Microsoft 365 - all within 90 seconds.

Based in San Francisco, CA, Rippling has raised $1.85B+  from the world’s top investors - including Kleiner Perkins, Founders Fund, Sequoia, Greenoaks, Bedrock, GIC, Elad Gil and Goldman Sachs—and was named one of America's best startup employers by Forbes.

We prioritize candidate safety. Please be aware that all official communication will only be sent from @rippling.com addresses.

• Build backend and platform components for Rippling’s AI Platform.
• Contribute to AI infrastructure supporting background agents, automated workflows, evals, data pipelines, and reliability systems.
• Write clean, maintainable, testable, and scalable production code.
• Own well-defined features, services, or modules end-to-end with guidance from senior engineers.
• Participate in design discussions, code reviews, testing, debugging, and production support.
• Work with Senior, Staff, and Senior Staff engineers to translate technical designs into production systems.
• Build systems with strong attention to reliability, observability, scalability, and operational correctness.
• Develop understanding of AI platform concepts such as agents, LLM infrastructure, evals, workflow automation, and model quality loops.

Qualifications

• 3–5 years of software engineering experience, preferably in backend, platform, infrastructure, or distributed systems.
• Strong hands-on coding ability; 70–80% coding expectation is non-negotiable.
• Strong programming knowledge in one or more languages such as Python, Java, Go/Golang, C++, Scala, Kotlin, or C#.
• Good understanding of APIs, databases, data modeling, debugging, testing, and production systems.
• Ability to own well-defined engineering tasks and components with limited guidance.
• Strong problem-solving skills and willingness to learn quickly in complex technical areas.
• Comfort working in a fast-paced product engineering environment.
• Curiosity or exposure to AI agents, LLM infrastructure, automation systems, ML/data infrastructure, evals, or adjacent AI systems is a plus.

Preferred qualifications

• Experience working on backend/platform systems at scale.
• Exposure to Python, SQL, data pipelines, workflow systems, or automation platforms.
• Prior experience in high-growth product companies or startup-like environments.
• Interest in AI platform infrastructure, agentic workflows, eval frameworks, or model-quality systems.
• Exposure to enterprise SaaS, fintech, HR tech, payroll, benefits, compliance, IT, or workflow-heavy platforms.

Additional Information

Rippling is an equal opportunity employer. We are committed to building a diverse and inclusive workforce and do not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics, Rippling is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email [email protected]

Rippling highly values having employees working in-office to foster a collaborative work environment and company culture. For office-based employees (employees who live within a defined radius of a Rippling office), Rippling considers working in the office, at least three days a week under current policy, to be an essential function of the employee's role.