Senior Software Engineer, Data Platform

Ripplings Data Platform team builds and operates the infrastructure tools and integrations that enable teams across the company to independently deliver reliable data processing analytics ML and AI workflows.

Product and business teams own their use cases. We provide the foundations that help them move process and use data reliably securely and cost-effectively.

We are hiring a Senior Software Engineer to work across core data and ML infrastructure workflow orchestration data integrations and movement distributed data access and production systems for ML and agent workloads.

This is a broad platform role. You will own complex systems across multiple technical areas rather than working within one narrow part of the stack.

• Design build and operate infrastructure for reliable scalable and cost-effective data analytics ML and AI workflows.
• Build reusable workflow and integration capabilities that let teams independently move process and use data across platforms.
• Build data access and query capabilities that let analytics and agent workloads use data across warehouses lakehouses and operational systems.
• Build reusable platform capabilities for research analytics and other long-running agent workflows including orchestration state management retries evaluation observability and result delivery.
• Strengthen data security through least-privilege access short-lived service identities data masking and audit controls.
• Improve platform reliability data quality performance cost 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 turn repeated needs into durable platform capabilities.
• Help set technical direction and raise the engineering bar across the team.

• 5 years of software engineering experience building backend systems distributed systems infrastructure or data platforms.
• A 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 across:
• • Data warehouses and distributed-query systems such as Snowflake Databricks or StarRocks.
  • Lakehouse storage and compute systems such as Iceberg Delta Lake Spark Glue or EMR.
  • Workflow orchestration systems such as Dagster Airflow or Prefect.
  • Cloud and platform infrastructure such as AWS Kubernetes and infrastructure as code.
• Experience building integrations and data-access systems that move or expose data across platforms to downstream users and applications.
• Experience owning production systems including reliability security observability cost and incident response.
• Strong systems-design skills and sound judgment across reliability security scale cost and usability.
• Ability to work across multiple technical areas and make progress through ambiguity.
• Strong communication skills and experience working with technical and non-technical partners.

• Experience building ML platform capabilities or training deploying and operating ML models in production.
• Experience building agent platforms long-running agent workflows or similar distributed asynchronous systems.
• Experience with ML or agent evaluation and observability using MLflow LangSmith or similar tools.
• Experience with data discovery lineage access controls or governance systems.

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

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 employees role.

This role will receive a competitive salary benefits equity. The salary for US-based employees will be aligned with one of the ranges below based on location; see which tier applies to your location here.

A variety of factors are considered when determining someones compensationincluding a candidates professional background experience and location. Final offer amounts may vary from the amounts listed below.