Staff Software Engineer - Infrastructure, Data Platform
- Pay
- $260,000 – $350,000 per year
- Location
- San Francisco, CA · Hybrid
- Job type
- Full-time
- Level
- Lead / Staff
- Experience
- 5+ years
- Education
- Bachelor's degree
- Listed
- 30 days ago
Skills & highlights for this role
- Python
- Kafka
- Spark
- Databricks
- streaming data pipelines
Also useful
- infrastructure-as-code
- observability
Stated benefits & perks
- Health
- Dental
- Vision
- 401k match
- Bonus
Role
- Staff Software Engineer - Infrastructure
- Pod: Data Platform
- Location: Hayes Valley, San Francisco, CA
Basic Job Details
- Job Type: Full Time
- Work Model: Hybrid
- Remote Days: Monday & Friday
- Office Days: Tuesday, Wednesday, Thursday
About the role
As a Staff Software Engineer on our Data Platform team, you will lead the design, implementation, and continuous improvement of our foundational data systems, ensuring scalability, reliability, and efficiency. You'll architect data platforms, manage streaming pipelines, optimize cloud infrastructure, and champion best practices in infrastructure-as-code, observability, and system performance.
The Data Platform's scope of impact is expanding faster than any one team can absorb, and this role exists to own that growth. You'll take end-to-end ownership of supply line visibility data integration, connecting the execution platforms operating across Ryder and Baton. Leveraging your expertise in distributed systems and real-time data processing, you'll mentor engineering teams, shape strategic technical direction, and give the organization a single view of its data across both the Baton and Ryder platforms.
Responsibilities
- Design and Maintain Robust Data Architecture:
- Design, maintain, and optimize our data streaming and messaging architecture as the platform's scope continues to expand.
- Oversee Real-Time Data Streaming Platforms:
- Manage and enhance the real-time data streaming platforms, ensuring robust data ingestion and efficient processing.
- Own Cross-Platform Data Integration:
- Take end-to-end ownership of supply line visibility data integration, spanning third-party, in-house, and Ryder-managed execution platforms.
- Drive Major Integration Initiatives:
- Lead the architecture and delivery of large-scale integrations with enterprise supply chain execution systems.
- Simplify and Solve Data Challenges:
- Transform complex data challenges into streamlined, scalable, and maintainable technical solutions.
- Collaborative Stakeholder Engagement:
- Collaborate closely with both technical and non-technical stakeholders across Baton and Ryder to enhance data-driven decision-making and foster innovative data practices across the organization.
Required Qualifications
- Data Integration Experience:
- Track record in solving real-time data challenges at large-scale enterprises, including common dual-write solutions
- Technical Leadership:
- Technical Leadership and cross-functional collaboration across an org
- Python Proficiency:
- Advanced proficiency coding in python at a Staff level
Preferred Qualifications
- Educational Background:
- Bachelor's or Master's degree in Computer Science, Engineering, or a closely related technical field.
- Industry Experience:
- Demonstrated experience or a strong interest in the freight and logistics industry, with an understanding of its data-driven challenges and opportunities.
- Technical Expertise:
- Comprehensive knowledge of modern big data
- 5+ years experience in software development experience
- Infrastructure development experience with big data infrastructure such as Databricks, Kafka, Spark, etc.
- Solid foundation in data analytics and big data technologies, capable of leveraging these skills to drive insights and operational efficiencies.
The Perks
- Competitive Base Salary + Cash Bonus Structure
- Annual Company Bonus + Long Term Incentive Plan
- 401k with Matching
- Hybrid Work Schedule
- Hyper-Stable, publicly traded Enterprise
- Medical, Dental, and Vision Health Coverage
- Employee Stock Purchase Program (15% discount to market value)
- Collaborative, Fun, and Tech Forward office in Hayes Valley, San Francisco CA
Compensation Range
The annual base salary range for this position is $260,000 - $350,000*
Compensation will vary based on factors including skill level, transferable knowledge, and experience.
Note that the above is not the representation of total compensation, which includes our LTI Package as well.
In addition to base salary, Baton's full-time employees are eligible for an annual company performance bonuses.
Why You Should Join
- Have an immediate impact:
- With Ryder's existing customer base of 50,000+ companies and an internal headcount of 43,000, the scale and impact of our products will be large and far-reaching, from day one.
- Opportunity to grow and lead in a Fortune 500 company:
- You'll get to work in a rapidly growing, startup-like environment while having the stability and backing of Ryder and its full executive team.
- Creative, fast-paced environment to solve impactful problems in Supply Chain:
- We're going to design completely new tools for an industry that hasn't been rethought in decades. And to do this, we need people who think differently.
Who We Are
Baton is Ryder's in-house product development group focused on harnessing emerging technologies to redefine transportation and logistics. With $10B in freight under management, our technology reaches every part of the U.S. economy.
We design and ship category-defining software that enables Ryder and its 50,000+ customers-including some of the world's most well-known brands-to plan and execute freight intelligently, efficiently, and cost-effectively. Our work includes everything from customer-facing software to the data platform that will power the next era of innovation at Ryder.
Baton's mission: enable supply chain on autopilot.
Ryder acquired Baton in 2022 to power its next wave of digital products. We operate at startup speed, with Fortune 500 reach. If you have a passion for solving complex problems and creating impact for the engine of the American economy, you'll love it here.
From Baton (A Ryder Technology Lab)'s careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.
How Rolev.ai helps with this application
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Common questions
What is the salary for the Staff Software Engineer - Infrastructure, Data Platform role at Baton (A Ryder Technology Lab)?
The Staff Software Engineer - Infrastructure, Data Platform posting at Baton (A Ryder Technology Lab) states compensation of $260,000 – $350,000 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Baton (A Ryder Technology Lab)'s official career site.
Where is the Staff Software Engineer - Infrastructure, Data Platform job at Baton (A Ryder Technology Lab) located?
This Staff Software Engineer - Infrastructure, Data Platform position at Baton (A Ryder Technology Lab) is located in San Francisco, CA (Hybrid). Always check Baton (A Ryder Technology Lab)'s application page for specific state eligibility or relocation policies.
What qualifications are required for Staff Software Engineer - Infrastructure, Data Platform at Baton (A Ryder Technology Lab)?
For the Staff Software Engineer - Infrastructure, Data Platform role, Baton (A Ryder Technology Lab) highlights 5+ years of relevant experience; a bachelor's degree; experience with Python, Kafka, Spark, Databricks, streaming data pipelines. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Staff Software Engineer - Infrastructure, Data Platform position at Baton (A Ryder Technology Lab)?
This listing links directly to Baton (A Ryder Technology Lab)'s Greenhouse application page. You can apply directly on Baton (A Ryder Technology Lab)'s site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Greenhouse application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.