Staff Software Engineer - Infrastructure, Data Platform
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.
- * *
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
Job Description -------------------
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.
About Baton
Baton is a technology innovation lab for Ryder and formerly a technology startup focused on eliminating waste in supply chains.
More jobs at Baton
- Software Engineer - Full Stack, Product Engineering
- Senior Product Manager, Machine Learning
- Software Engineer, MLOps - Machine Learning
- Software Engineer - Data Platform
- Software Engineer - Infrastructure, Data Platform