Senior Software Engineer - Infrastructure, Data Platform

Who We Are

Baton is seeking ambitious individuals who desire the autonomy and agility of a startup environment combined with the backing, power, reach, and stability of a highly respected logistics industry giant.

Baton is the Silicon Valley-based technology innovation lab for Ryder, a leading logistics company that owns 260k trucks and manages $7.4B of freight.

Prior to the September 2022 acquisition, Baton was a venture-backed start-up that operated a fleet of trucks and hung out at truck stops to truly understand the challenges at hand.

The Problem We’re Solving

Our mission is to eliminate supply chain waste by creating a digital platform to manage freight and eliminate supply chain waste.

There are 500 million hours wasted in trucking each year, over 3 billion gallons of fuel wasted per year from trucks idling, and 1 in 5 trucks on the road driving empty at any given point.

This has a massive impact on the environment, the lives of millions of drivers, and ultimately, the cost of goods that we all pay. Baton is fixing this, and you will too through the impactful work you’ll do here.

Role: Senior Software Engineer - Infrastructure
Department: 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

Responsibilities

• Design and maintain a robust data streaming and messaging architecture.
• Ownership of our near real-time data streaming platform.
• Act as a technical liaison to ensure alignment of data strategies with business goals.
• Take charge of the entire data landscape, encompassing near real-time data ingestion, sophisticated processing, and efficient data consumption strategies.
• Collaborate closely with data stakeholders to simplify and solve complex data challenges, transforming them into scalable and maintainable technical solutions.
• Everything from developing and maintaining data pipelines, enhancing data models, to refining API layers.

Required Qualifications

• Python Proficiency:
  • Advanced proficiency coding in python at a senior level
• Enterprise Experience:
  • Track record in solving data challenges at large-scale enterprises
• Technical Leadership:
  • Technical Leadership and cross-functional collaboration across an org

Preferred Qualifications

• Bachelor’s or Master’s Degree in Computer Science, Engineering, or a related technical field.
• Demonstrated interest or experience in the freight and logistics industry, with a keen understanding of its data-driven challenges and opportunities.
• Strong foundation in data analytics and big data technologies, with the ability to leverage 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 $222,000 - $296,000*

Compensation will vary based on factors including skill level, proficiencies, transferable knowledge, and experience.
In addition to base salary, Baton's full-time employees are eligible for an annual performance bonus.

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.