Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Senior Software Engineer, Data Platform role.
Rezi rewrites your resume against Rippling's job description. Free.
Tailor your resume to this Senior Software Engineer, Data Platform role.
Rezi rewrites your resume against Rippling's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Senior Software Engineer, Data Platform posting at Rippling — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Senior Software Engineer, Data Platform posting at Rippling — free, in seconds.
About the Role
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 where you will own complex systems across multiple technical areas rather than working within one narrow part of the stack.
Responsibilities
- 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.
Requirements
- 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.
- Experience building and operating production data platforms across lakehouse storage and compute systems such as Iceberg, Delta Lake, Spark, Glue, or EMR.
- Experience building and operating production data platforms across workflow orchestration systems such as Dagster, Airflow, or Prefect.
- Experience building and operating production data platforms across 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.
Skills
- Snowflake
- Databricks
- StarRocks
- Iceberg
- Delta Lake
- Spark
- Glue
- EMR
- Dagster
- Airflow
- Prefect
- AWS
- Kubernetes
- Infrastructure as Code
- ML platform capabilities
- ML model training
- ML model deployment
- ML model operation
- Agent platforms
- Agent workflows
- Distributed asynchronous systems
- ML evaluation
- Agent evaluation
- MLflow
- LangSmith
- Data discovery
- Data lineage
- Data access controls
- Data governance systems
Work Type
- In-office
Experience Level
- Senior
Salary/Compensations
- Competitive salary + benefits + equity
Benefits
- Competitive salary + benefits + equity
About the Company
- Rippling's 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.
Equal Opportunity
- 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 accommodations@rippling.com