Role: Staff Software Engineer - Infrastructure
Pod: Data Platform
Location: Hayes Valley, San Francisco, CA
Basic Job DetailsJob Type: Full Time
Work Model: Hybrid
Remote Days: Monday & Friday
Office Days: Tuesday, Wednesday, Thursday
Job DescriptionAs 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, proficiencies, transferable knowledge, and experience.
In addition to base salary, Baton's full-time employees are eligible for an annual performance bonus.
