Baton

Staff Software Engineer - Infrastructure, Data & ML Platform

Software Engineer - Infrastructure, Machine Learning

Software Engineer - Backend

Senior Software Engineer - Full Stack

Senior Software Engineer, Engineering Productivity

As a Staff Software Engineer, 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. Leveraging your expertise in distributed systems and real-time data processing, you'll mentor engineering teams, shape strategic technical direction, and empower the organization to unlock the full value of its data assets. A key area of future growth will be working closely with the ML team to deliver timely and efficient access to data to help them achieve company goals.

<div><h3><span style="font-size: 12pt;"><strong>Who We Are</strong></span></h3> <p><a href="http://www.batontrucking.com/"><strong>Baton</strong></a> 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.</p> <p>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.</p> <p>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.</p> <h3><span style="font-size: 12pt;"><strong>The Problem We’re Solving</strong></span></h3> <p>Our mission is to enable supply chain on autopilot.</p> <p>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.</p> <p>This has a massive impact on the environment, the lives of millions of drivers, and ultimately, the cost of goods that we all pay.&nbsp;Baton is fixing this, and you will too through the impactful work you’ll do here.</p> <hr></div><div><p><strong>Role:</strong> Staff Software Engineer - Infrastructure<br><strong>Pod/Teams:</strong> Data Platform &amp; Machine Learning Platform<br><strong>Location:</strong>&nbsp;Hayes Valley, San Francisco, CA</p> <h1><strong>Basic Job Details</strong></h1> <p><strong>Job Type:</strong> Full Time<br><strong>Work Model:</strong> Hybrid<br><strong>Remote Days:</strong> Monday &amp; Friday<br><strong>Office Days:</strong> Tuesday, Wednesday, Thursday</p> <h2><strong>Job Description</strong></h2> <p>As a Staff Software Engineer, Infrastructure on our Data Platform &amp; ML 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. Leveraging your expertise in distributed systems and real-time data processing, you'll mentor engineering teams, shape strategic technical direction, and empower the organization to unlock the full value of its data assets. A key area of future growth will be working closely with the ML team to deliver timely and efficient access to data to help them achieve company goals.</p> <h2><strong>Responsibilities</strong></h2> <ul> <li><strong>Design and Maintain Robust Data Architecture:</strong> <ul> <li>Design, maintain, and optimize our data streaming and messaging architecture tailored to both the Data and ML platforms.</li> </ul> </li> <li><strong>Oversee Real-Time Data Streaming Platforms:</strong> <ul> <li>Manage and enhance the real-time data streaming platforms, ensuring robust data ingestion and efficient processing.</li> </ul> </li> <li><strong>Simplify and Solve Data Challenges:</strong> <ul> <li>Transform complex data challenges into streamlined, scalable, and maintainable technical solutions.</li> </ul> </li> <li><strong>Collaborative Stakeholder Engagement:</strong> <ul> <li>Collaborate closely with both technical and non-technical stakeholders to enhance data-driven decision-making across the organization.</li> </ul> </li> <li><strong>Leveraging Data to support ML &amp; AI</strong>:&nbsp;<br> <ul> <li>Extending our current data infrastructure to support growing ML / AI pipeline needs</li> </ul> </li> </ul> <h2><strong>Required Qualifications</strong></h2> <ul> <li><strong>Python Proficiency:</strong> <ul> <li>Advanced proficiency coding in python at a Staff level</li> </ul> </li> <li><strong>Enterprise Experience:</strong> <ul> <li>Track record in solving data challenges at large-scale enterprises</li> </ul> </li> <li><strong>Technical Leadership:</strong> <ul> <li>Technical Leadership and cross-functional collaboration across an org</li> </ul> </li> <li><strong>ML Interest or Experience:</strong> <ul> <li>Practical experience in Machine Learning, or a strong interest in developing ML expertise.</li> </ul> </li> </ul> <h2><strong>Preferred Qualifications</strong></h2> <ul> <li><strong>Educational Background:</strong> <ul> <li>Bachelor’s or Master’s degree in Computer Science, Engineering, or a closely related technical field.</li> </ul> </li> <li><strong>Industry Experience:</strong> <ul> <li>Experience or a strong interest in the freight or logistics industry, with an understanding of its data-driven challenges and opportunities.</li> </ul> </li> <li><strong>Technical Expertise:</strong> <ul> <li>Solid foundation in data analytics and big data technologies, capable of leveraging these skills to drive insights and operational efficiencies.</li> </ul> </li> <li><strong>Machine Learning Proficiency:</strong> <ul> <li>Experience in machine learning or working closely with Machine learning team working a data infrastructure capacity</li> </ul> </li> </ul> <h2><strong>The Perks</strong></h2> <ul> <li>Competitive Base Salary + Cash Bonus Structure</li> <li>Annual Company Bonus + Long Term Incentive Plan</li> <li>401k with Matching</li> <li>Hybrid Work Schedule</li> <li>Hyper-Stable, publicly traded Enterprise</li> <li>Medical, Dental, and Vision Health Coverage</li> <li>Employee Stock Purchase Program (15% discount to market value)</li> <li>Collaborative, Fun, and Tech Forward office in Hayes Valley, San Francisco CA</li> </ul> <p><strong>Compensation Range:</strong> The annual base salary range for this position is $260,000 - $350,000*</p> <p>Compensation will vary based on factors including skill level, transferable knowledge, and experience.<br>Note that the above is not the representation of total compensation, which includes our LTI Package as well. <br>In addition to base salary, Baton's full-time employees are eligible for an annual company performance bonuses.</p> <p>&nbsp;</p></div><div><hr> <h3><span style="font-size: 12pt;"><strong>Why You Should Join</strong></span></h3> <ul> <li><strong>Have an immediate impact:</strong> <ul> <li>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.</li> </ul> </li> <li><strong>Opportunity to grow and lead in a Fortune 500 company:</strong> <ul> <li>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.</li> </ul> </li> <li><strong>Creative, fast-paced environment to solve impactful problems in Supply Chain:</strong> <ul> <li>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.</li> </ul> </li> </ul></div></div>

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