Software Engineer II - Data Platform

May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. As a Software Engineer II, you will contribute to the design, development, and maintenance of scalable data pipelines that support data-driven initiatives, working independently to solve complex problems and ensure system compatibility.

Responsibilities:

• Contribute to the design, implementation, and maintenance of real-time and historical data pipelines, ensuring adherence to standard procedures and best practices
• Build and maintain well-organized, documented libraries and APIs to manage, search, and analyze vehicle datasets
• Collaborate on the development of front-end interfaces to visualize data and improve fleet operations
• Partner with cross-functional autonomy and platform teams to address software needs, ensuring system compatibility and synchronization
• Independently determine technical approaches to assigned tasks, actively discussing improvements and potential alternatives with the team
• Apply rigorous testing and standard procedures to optimize data processing workflows for performance, scalability, and cost-effectiveness
• Implement data quality checks and monitoring tools, maintaining awareness of the impact of these systems on product and business outcomes
• Proactively invest in professional growth and technical mastery through research and application of industry standards

Requirements:

• B.S. Degree in Computer Science, Computer Engineering, or an equivalent degree or experience
• 2+ years of industry experience in software engineering
• Working knowledge of data structures, algorithms, and object-oriented programming
• Experience with cloud platforms (AWS, Azure, GCP) and deployment practices
• Experience with agile development methodologies and CI/CD practices
• Experience building and maintaining data-processing pipelines in a cloud environment
• Knowledge of data warehousing or data lake concepts
• Familiarity with containerization (Docker, Kubernetes) and telemetry systems
• Understanding of real-time data processing and distributed systems