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 that, and you will too through the impactful work you’ll do here.


Role Software Engineer - Infrastructure

Location Hayes Valley, San Francisco, CA

Basic Job Details

Office days: Tuesday, Wednesday, Thursday
Work from home days: Monday, Friday
Job type: Full time

Job Description

We are seeking a Infrastructure Software Engineer that thrives in a fast-paced environment and has an unrelenting passion for building robust and scalable web infrastructure systems. This pivotal role involves collaborating with cross-functional teams, assisting with design planning, and developing new solutions from scratch. Ideal candidates are proactive, experienced problem-solvers with strong development skills in Python or similar languages, and a passion for data streaming and data analytics.

Responsibilities

  • Contribute to our near real time data streaming and analytics platform -- from building our data streaming pipelines up to designing new data models.
  • Design the data streaming and messaging architecture, and own the data landscape, including near real-time data ingestion, processing, and data consumption.
  • Work closely with data stakeholders to distill complex data problems into elegant technical solutions.
  • Invent and tinker. Imagine completely new ideas, experiment, and build transformative solutions for the freight industry.

Basic Qualifications 

  • 3+ years of full-time experience in software development
  • Infrastructure development experience with Python or similar modern web languages
  • Experience with big data infrastructure such as Databricks, Kafka, Spark, etc
    • Strong knowledge of modern big data

Preferred Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field
  • Strong data analytics background

The Perks

  • Competitive salary and bonus structure
  • Hybrid work schedule
  • 401k with matching
  • Medical, Dental, and Vision health coverage
  • Employee Stock Purchase Program
  • Collaborative, fun, and tech forward office in Hayes Valley (San Francisco)

Compensation Range: The annual base salary range for this position is $136,000 - $181,000*. 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.

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