Senior Software Engineer, Infrastructure - Data Platform

Ryder; San Francisco (CA); On-site; USD 130,000 - 180,000; Full time

Job summary

A leading transportation and logistics company is seeking a Senior Software Engineer to design and maintain robust data architecture tailored to Data and ML platforms. The role includes overseeing real-time data streaming as well as collaborating with technical and non-technical stakeholders to enhance data-driven processes. Candidates should possess advanced Python skills and a strong preference for machine learning in a large-scale enterprise context. The position offers competitive compensation and a comprehensive benefits package.

Benefits

Comprehensive health and welfare benefits

Paid time off for vacation and illness

401(k) retirement savings plan

Qualifications

• Advanced proficiency coding in Python at a Staff level.
• Experience in solving data challenges at large-scale enterprises.
• Strong interest or practical experience in Machine Learning.

Responsibilities

• Design and maintain robust data architecture for data streaming.
• Manage and enhance real-time data streaming platforms.
• Collaborate with stakeholders to improve data-driven decision-making.

Skills

Python

Data Streaming

Technical Leadership

Machine Learning Interest

Education

Bachelor’s or Master’s degree in Computer Science

Tools

Big Data Technologies

Data Analytics

Job description

Senior Software Engineer, Infrastructure - Data Platform

Job Seekers can review the Job Applicant Privacy Policy by clicking here .

Job Description :

Responsibilities

• Design and Maintain Robust Data Architecture:
  • Design, maintain, and optimize our data streaming and messaging architecture tailored to both the Data and ML platforms.
• Oversee Real-Time Data Streaming Platforms:
  • Manage and enhance the real-time data streaming platforms, ensuring robust data ingestion and efficient processing.
• 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 to enhance data-driven decision-making and foster innovative data practices across the organization.
• Include ML Section
  • Extending our current data infrastructure to support growing ML / AI pipeline needs
    

Required Qualifications

• Advanced proficiency coding in python at a Staff level
• Track record in solving data challenges at large-scale enterprises
• Technical Leadership:
  • Technical Leadership and cross-functional collaboration across an org
• ML Interest or Experience:
  • Practical experience in Machine Learning, or a strong interest in developing ML expertise.
    

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:
  • Solid foundation in data analytics and big data technologies, capable of leveraging these skills to drive insights and operational efficiencies.
• Machine Learning Proficiency:
  • Experience in machine learning or working closely with Machine learning team working a data infrastructure capacity

Job Category

Product Development

Job Seekers can review the Job Applicant Privacy Policy by clicking here .

Job Description :

Responsibilities

• Design and Maintain Robust Data Architecture:
  • Design, maintain, and optimize our data streaming and messaging architecture tailored to both the Data and ML platforms.
• Oversee Real-Time Data Streaming Platforms:
  • Manage and enhance the real-time data streaming platforms, ensuring robust data ingestion and efficient processing.
• 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 to enhance data-driven decision-making and foster innovative data practices across the organization.
• Include ML Section
  • Extending our current data infrastructure to support growing ML / AI pipeline needs
    

Required Qualifications

• Python Proficiency:
  • Advanced proficiency coding in python at a Staff level
• Enterprise Experience:
  • Track record in solving data challenges at large-scale enterprises
• Technical Leadership:
  • Technical Leadership and cross-functional collaboration across an org
• ML Interest or Experience:
  • Practical experience in Machine Learning, or a strong interest in developing ML expertise.
    

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:
  • Solid foundation in data analytics and big data technologies, capable of leveraging these skills to drive insights and operational efficiencies.
• Machine Learning Proficiency:
  • Experience in machine learning or working closely with Machine learning team working a data infrastructure capacity

Job Category

Product Development

Compensation Information :

The compensation offered to a candidate may be influenced by a variety of factors, including the candidate’s relevant experience; education, including relevant degrees or certifications; work location; market data/ranges; internal equity; internal salary ranges; etc. The position may also be eligible to receive an annual bonus, commission, and/or long-term incentive plan based on the level and/or type. Compensation ranges for the position are below:

Pay Type :

Salaried

Minimum Pay Range :

Maximum Pay Range :

Benefits Information :

For all Full-time positions only: Ryder offers comprehensive health and welfare benefits, to include medical, prescription, dental, vision, life insurance and disability insurance options, as well as paid time off for vacation, illness, bereavement, family and parental leave, and a tax-advantaged 401(k) retirement savings plan.

Ryder is proud to be an Equal Opportunity Employer and Drug Free workplace .

All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, among other things, or status as a qualified individual with disability.

Security Notice for Applicants :

Ryder will only communicate with an applicant directly from a [@ryder.com] email address and will never conduct an interview online through a chat type forum, messaging app (such as WhatsApp or Telegram), or via an online questionnaire. During an interview, Ryder will never ask for any form of payment or banking details and will never solicit personal information outside of the formal submitted application through www.ryder.com/careers .

Should you have any questions regarding the application process or to verify the legitimacy of an interview or Ryder representative, please contact Ryder at [e-mail] or 800-793-3754.

Current Employees :

If you are a current employee at Ryder, please click here to log in to Workday to apply using the internal application process.

Job Seekers can review the Job Applicant Privacy Policy by clicking here .

About the company

Ryder System, Inc., commonly known as Ryder, is an American transportation and logistics company.

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